IoT was merely a technological concept some years ago, and today, it has become an influential part of our life!  IoT is a blend of sensors, software, devices, and networks that suppress human intervention to the minimum for accumulating data.

Technological upgrades and the introduction of new devices have given a boost to IoT technology. Today, people are purchasing devices equipped with sensor-based technology. Be it home automation devices or medical IoT devices, mankind is making the best use of technology.

As per the reports compiled by Statista, it is estimated that there’ll be over 75 billion IoT devices in use by 2025, considering the increasing use of smart devices in daily lives.

IoT Devices

A gamut of appliances, gadgets, and sensors that gather & exchange data/information over the internet are called IoT devices. Such devices are specially programmed to embed into other devices, and via IoT devices, other applications and gadgets can be controlled from any corner of the world.

Before proceeding to the main part of the article, here’s a look at some key statistics that deserve your attention.

• The worldwide revenue of IoT is expected to surpass 1 trillion USD by 2030
• Up to 14.2 trillion USD could be added to the global economy through the industrial internet of things (IIoT)
• According to Cisco reports, M2M businesses are expected to rise to 3 billion in 2022
• MTA has predicted that there will be the connectivity of 15 devices per person by 2030

All these statistics point toward the adoption of the internet of things at a speedy pace. Not just the adoption of IoT, but the economy will also upsurge due to vast investments expected ahead.

IoT has been playing a significant role in the development of technologies like 5G networking, artificial intelligence, etc., and it is evident that we’ll be witnessing the rise of IoT in the future.

Now that we’ve discussed the importance of IoT and how quickly it’s growing, let’s dive a little deeper into the specifics of what IoT is, global markets, and expected trends for 2022.

The Innovative Existing Reality

Gone are the days when the concept of the application of IoT in business was a topic of discussion. Today, numerous business realms have integrated IoT while making continuous improvements.

Customized software for purposes like marking attendance, tracking workflow of employees, cams for residential/corporate security, smoke sensors, etc.  Laptops, smartwatches, smart bulbs, smartphones, etc., can be connected to the internet effortlessly! They are simply examples of IoT devices that people use daily.

If observed closely, the concept of the internet of things revolves around the robotization of the work. The higher absorption rate of IoT in businesses magnetizes higher efficiency in performance.

IoT devices keep the aforesaid in the loop to strengthen the performance of different industries and businesses in the market.

How Do IoT Devices Work?

An IoT device like a smartphone or smartwatch contains an integrated CPU, a network adapter, and firmware. These are connected to a dynamic host and require an IP address to operate. Also, the apps designed for smartwatches and smartphones are connected to software for performing different functions that make them smart devices.

For example, wristwatches previously were just used for tracking time. But, IoT technology allows individuals to track the number of steps walked, heartbeat rate, calories burned, etc. Thus, turning a regular wristwatch into a smartwatch.

Prominent IoT Devices

Amazon ECHO voice controller, Google Home voice controller, Amazon ECHO spot, Nest Audio, etc., are examples of some major IoT devices in the market. Equipped with the voice controller feature, individuals can operate and manage different tasks by voice.

A Voice controller is a prominent feature in most smart devices. Once activated and configured to certain voices, it responds by executing the command given by the user.

Examples include Playing music, operating alarms, TV, switching on/off lights, typing messages, controlling other compatible devices, etc., which can be done smoothly using such voice controller IoT devices. The embedded components like sensors and speakers make it possible to operate all prominent IoT devices.

Key IoT Devices in The Market

Several IoT devices have entered the market and they’re here to stay. Equipped with the right technology, these devices have proved to be beneficial in the long run. Manufacturers are upgrading the existing versions for better performance. Take a look at some popular IoT devices.

Air Quality Monitors

Using air quality monitors, individuals can track the level of impurity indoors. These devices are easy to install, maintain temperatures, and purify the air.

Lighting System

Lighting systems are widely used personal IoT devices. By installing these indoors, individuals can control lights through the app installed on their mobile phones.

Smart Doorbells

Installing a smart doorbell at the door will eliminate the need for opening the door whenever someone comes. A smart doorbell allows the user to answer the door from anywhere in the house using the mobile.

Smart Locks

Using a smart lock, people can secure their homes futuristically! A smart lock is an IoT device that can be unlocked using biometrics or Bluetooth when the user has connected it through the app. In case the door is not locked properly, a beep will alert you for the same.

Mesh Wi-Fi

Whole-home mesh Wi-Fi is an IoT that circulates Wi-Fi signals throughout your home on the existing internet service provider. The mesh Wi-Fi can be configured through the Orbi app. It eliminates the buffer zone and strengthens the Wi-Fi signal for a seamless experience.

With the ongoing advancement in the field of IoT, it is expected to surpass one trillion USD by 2030 as upcoming IoT devices enter the market. Not just the revenue, but the number of IoT devices is forecasted to increase thrice the current figures.

93% of enterprises have adopted IoT in their regular operations. Energy meters and smart appliances are prominent devices that have been adopted widely. With that in mind, let’s take a look at the global markets of IoT.

Global IoT Markets

As per expert reports of the 2021-2026 forecast period, the global IoT market is expected to grow colossally. With a high CAGR of 10.53%, the global IoT can rise to USD 1,386 billion by 2026 from USD 761 billion in 2020.

The growth in global IoT has been possible owing to technologies like conversational AI, machine learning, cloud-computing platforms, and low-cost sensor technology.

Industrial IoT

Industrial IoT, or simply IIoT, refers to the implementation of IoT in the industrial space, with respect to the technologies that control sensors & devices.  Industries across the world have absorbed the technology of machine to machine learning (M2M) for acquiring automated control.

But, with the emergence of machine learning, establishing new revenue models would become easier. Some common uses of IIoT are listed below:

Connected Vehicles

Vehicles like delivery trucks and buses are equipped with additional IoT technologies for monitoring mandatory safety practices.

Smart Cities

IoT deployments in smart cities help in monitoring practices that affect their municipality. Using IoT, municipal authorities can generate better insights for building safety for the community.

Smart Traffic Management

Upgraded traffic management systems have simplified traffic-related mitigation. Sensors in the traffic light adjust the signal brightness as per the daylight. Bridge/flyover monitors detect the structural health and generate periodic maintenance reports.

Smart Supply Chain Management

Tracking the location of deliverables after dispatching has been made easier by integrating IoT technologies. GPS trackers and software help delivery managers & stakeholders about the location of the items that have been shipped.

IoT and Big Data in Rail

Considering the industrial aspect, the IoT has an impressive influence on the railways. Without a second thought, the railways have been a fragmented department. Many countries in the world rely on railways as a mode of transporting goods.

As per the industry IoT analytics, the railways have the most complex environment of digitization. It has been considered a challenge by experts because of 5Vs namely:

• Value– Geographically dispersed and high value

• Veracity– Reliable for processing data

• Velocity– The pace of processing data

• Volume– Reaching up to the set limit that cannot be processed through traditional methods

• Variety– Updating the obsolete technology

These technical obstacles can be cleared using edge computing. When IoT is blended with edge computing, it becomes the solution for the above-mentioned challenges and issues related to the rolling stock.

Using this advanced technology, individuals can not only access the data generated but can figure out real-time solutions that are cyber secure. When cyber security levels up, new trends emerge. Find out what’s there in the box for IoT trends for 2022.

IoT Trends To Watchout For 2022

Here’s a quick look at some hot IoT trends to be on the lookout for in 2022.

The Rise of IoT in Big Data

IoT is highly fertile in terms of dispersing information-driven data because it has billions of IoT devices interacting 24×7. While IoT devices gather information and data using their sensors, the big data technique analyzes huge chunks of data which can be utilized multifariously.

The entire process of integrating IoT technology can be simplified by feeding the information to machine learning algorithms. By doing so, significant improvements in the functionalities (seen below) happen within the machines.

• Improved decision making capability– Immediate decision making based on results
• Better data performance– Processing data at a higher rate
• Increased analytical performance– Able to perform complex analyses easily
• Enhanced pattern recognition– Identifying and adapting repeated patterns easily

Development of 5G Network

Unarguably, 5G is the future. By 2025, China is anticipated to reign with 866 million 5G connections. On the other side, the USA is expected to have 247 million 5G connections followed by Japan with 138 million 5G connections. The 5G technology promises better connectivity speed, improved DTR, and better network credibility

With 5G being the core of cellular networking, the IoT devices would play a key role in transferring data speedily between connected devices.

IoT in The Healthcare Industry

The healthcare sector has been the largest adopter and consumer of IoT technology. Even during the pandemic outbreak when everything else seemed to slow, this industry contributed to the rise of IoT technology.

Various IoT-based surgical instruments, blood monitors, cardiology/neurology, and smart wearables positively impacted the lifestyle of people. healthcare could become even more important now with post covid life and not having been active/invested in ‘normal’ health for the past 2 years.

Having said that, the trend of using IoT devices and technology in the healthcare space will continue in 2022.

Improving Cybersecurity

Undoubtedly, the number of people using the internet is scarcer as compared to the number of connected devices. This imbalance is scary because it opens the entryway for invasion by hackers

With the advancement of technology, comes the dark side of cyber security. Although many people know how to keep their devices (and all personal information stored) safe, even the most minute loophole can be enough for an impactful cyber attack.

Considering cyber security concerns like these and many others, companies have started to fix the problem of security in IoT devices. Cyber security is upgraded through monitoring IoT devices, implementing network segmentation for defense, adopting secure password practices, and fixing security patches via periodic updates.

Internet of Things – The Future

Without second thoughts, IoT is the future with limitless potential! The ever-evolving IoT is set to deliver the agility for deploying and automating different use cases.

The potential of IoT is not just about enabling communication between multiple devices but leveraging bigger volumes of data through AI.

Considering the existing global market and trends of IoT adoption in multiple industries, it is expected to grow speedily quite soon.

The new wave of advancement will have human-to-machine and machine-to-machine interactions with similar sensory experiences. This will unveil several new opportunities for innovation and apparently, it can permeate to become a key interface in the world.

The post The Ultimate Rise and Growing Trends of IoT appeared first on Simple Programmer.

Then, you might ask, why would you need your own Apple TV app?

I’ve got you covered because, in this pocket guide, I’ll cover all you need to know about Apple TV—why you need Apple TV today, and the top 3 ways for Apple TV tv app development. Plus, I’ll share some bonus lists of TvOS features.

Defining Apple TV

The Apple TV is a compact device that can be connected to the television using an HDMI cable. Once it is connected to the television, an individual can easily stream videos on demand created specifically for Apple TV.

In simple words, subscribers of a video business can download tvOS apps to watch it at their convenience. These apps can be related to television channels with distinguished content that can be accessed by subscribers effortlessly.

All in all, Apple TV is seen as the perfect choice for connecting with a tech-savvy audience that includes gen-z, millennials, and tech geeks.

Understanding Apple TV App

Apple TV apps are iOS apps that can be downloaded from the iOS app store, accessed, and streamed through Apple TV plug-in devices. Users get more than 100 preloaded Apple TV apps like Hulu, Netflix, Disney, HBO, etc. Since these apps are preloaded, users can delete or organize them as per choice.

The interesting part is that if the Apple TV device is connected to the TV or iPad, via an HDMI cable, one can view all those apps on the screen without hassle!

When the OTT app is available on the tvOS app store, it makes it easier for users to access the app and download the same on their Apple TV device. It is essential to note the availability of the tvOS app on the tvOS app store.

tvOS applications are special apps that are curated by iOS developers for streaming shows and podcasts. They cannot be found on the app store for mobile apps.

The Popularity of the Apple TV app

If we talked about the loyalty that Apple has accumulated as a brand, there’d be no comparison. Apple has a global clientele. If you’re an Apple user, then you know the difficulty of switching to another brand or technology.

This means that when Apple launches anything in the global market, it catches worldwide attention—colossally so. That’s most probably the key reason why OTT app debutants choose Apple TV and reach the mass tech-savvy audience in no time.

As being a brand with praiseworthy repute, Apple always remains atop its competitors in terms of upgrading its technology. This not only assures a seamless user experience but encourages OTT content creators to produce even better content.

And now, after we’ve talked about Apple TV and the Apple TV app, let’s learn more about Apple TV app development for tvOS.

App Development for Apple TV

Using the ways listed below, you can get your video business on the iOS platform for businesses, seeking Apple TV tv app development—and you can do so saving on expenses.

Hire a Professional tvOS App Developer

Some brands are willing to invest to get better outcomes. In such cases, a professional tvOS app development company comes into the picture. Such companies/agencies are backed by diligent tvOS developers and programmers.

Their expertise and knowledge in creating/developing tvOS aids in conceiving the right wireframe and final product as per the requirement. Divulging the details to the iOS developer would help him/her to get a rough idea about the app.

But what would it cost?

Integrating designs, customizations, designs, etc. demand resources. An individual would be investing a major sum of money for Apple TV app development for tvOS. Moreover, the developer would also charge for the expenses such as the following:

• Technical support
• Fixing bugs
• Integrating updates
• Beta testing the app

Once the tvOS app has crossed these stages, it is considered ready to get onto the next stage of testing.

Lease a White-labeled tvOS App

Numerous companies are short on budget and leasing a white-label tvOS app is a budget-friendly method. White-labeling in the software industry means the production of software by one company and rebranding it for another company.

You can find various OTT apps providing companies offering tvOS sample apps. With pre-set app templates, the app appears to be freshly constructed.

In addition to this, one will get the following benefits:

• Branded video on demand/live streaming app
• Access to the OTT platform for managing the app content and users
• A package of marketing tools for growing the video on demand business
• The functionality of live streaming videos

Using SaaS-based Platform

Turning to a SaaS-based platform is another preferred option to create your own Apple TV app. It’s a hassle-free option with multiple advantages. Apple is now positioning itself as a SaaS-based platform. Most commonly, we all know it by the name iOS. The much-loved iPhones, iPads, Mac, etc., are equipped with Apple’s own SaaSyness.

Listed below are the advantages that you get using a SaaS-based platform.

• Budget-friendly. Using a SaaS-based platform for Apple TV app development for tvOS is a budget-friendly option. Companies offering these services have stocked various templates for creating OTT tvOS apps. With a wider choice of templates available, it becomes easier to launch the app. The individual just needs to choose the template, upload media files and set up monetization.
• Saves time. When you use a SaaS-based platform for OTT app development, the entire process goes smoothly. Since the data & designs are readily available, it doesn’t take long for the developer to create the app.
• Managed by experts. When companies acquire tvOS app development services from SaaS-based platforms, the project is developed by an entire team of professionals. A dedicated team of developers and designers, headed by a project manager, would be looking after the OTT project. Moreover, they remain in touch with the client for implementing recommendations.

Benefits can be enjoyed only through some specific features. Next, you’ll read about the features of tvOS.

The List of tvOS Features

In all software or devices, the features offered to the user are what makes or breaks the whole concept. So let’s take a look at the new Apple TV OS features.

Siri Remote

We are aware of Siri, the virtual assistant created by Apple and functions just like the Google Assistant. Siri supports and responds to different commands like, What did they say? Who is in the movie? Turn on subtitles, etc.

Multi-user Support

Apple tvOS introduced multi-user support in version 13. This feature enabled the option of switching between accounts without interruption. Owing to this, users can easily access personalized music apps and Apple TV Up without disturbing their accounts.

In version 14, this feature was extended to Apple Arcade. Its inclusion made users resume the game and track game center achievements.

HomeKit

HomeKit is a special software developed by Apple. It acts as a hub and enables the user to operate their devices even while they’re away from the home network. Using a HomeKit hub, tasks like setting up daily reminders, alarms, etc., can be done easily.

Any device connected with HomeKit can be accessed by Siri as well. The app shows the feature icon as “Active” when it is being used as seen in the image below.

In version 14, Apple introduced the feature of a security camera. When a compatible camera is alerted, it shows the PiP on the screen connected to it.

Aerial Screensavers

The aerial screensavers have been a new feature integrated into the tvOS. All images are shot using 4K HDR equipment. The preference can be set to download automatically when the screen is idle.

tvOS App Development Can Offer New Opportunities

Creating or developing tvOS for the Apple TV can offer new opportunities for your career. In this post, I covered the basics of tvOS, including its key features.

Though major operating systems have locked horns to sustain their prominence in the market, it’s beyond doubt that Apple with Apple TV has successfully made it to the third-party platform. The tvOS framework of Apple operates smoothly with iOS-based devices—for example, Apple Watch.

The revamped Apple tvOS SDK gives major operating systems a fresh opportunity to integrate new features that users may expect in forthcoming versions.

The post A Pocket-Guide For Building tvOS Apps appeared first on Simple Programmer.

Multi-Cloud Strategy

\n\nThe multi-cloud strategy is a must to read about. With a multi-cloud strategy, companies can select different cloud services from other cloud companies to transfer more significant data portions. It is a speedy and reliable way to move large amounts of data, especially suitable for large data transfers and with integrated machine-learning capabilities.\n\nMost companies follow the multi-cloud strategy due to the following reasons:\n\n

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• Flexibility: If a company has its choice of multiple cloud environments, that offers flexibility and allows the company to stay away from vendor lock-in. The transition to any other product, even of a competitor, is easy.

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• Data protection: If you link with the multi-cloud strategy, you can avoid issues resulting from technical or mechanical reasons, computer, and human error. If you have multiple cloud environments, you are always protected from sudden, unavoidable circumstances, as you have resources and data storage available to avoid downtime.

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• Efficiency: Multi-cloud environments can help companies achieve their goals as planned due to their efficiency in managing and storing data.

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\n\nMulti-cloud management is involved in multi-cloud computing, as information is transferred from one cloud platform to another. It requires expertise to handle multiple cloud providers and complex cloud management systems.\n\nA multi-cloud platform can put together all the best services that each platform offers. It helps the companies customize an infrastructure unique to their business goals. Further, this multi-cloud concept provides lower risk: If one web service does not function, a business can operate with other platforms in a multi-cloud system as it stores all data in one place.\n\nSo far, so good. But how about downsides or problem points?\n\nGenuinely multi-cloud security has a big challenge of protecting data in a consistent and secured way across various cloud platforms. When a company uses a multi-cloud concept, the deposit is handled by third-party partners. Therefore, the cloud deployment has to identify the matter and distribute the security responsibilities among the other parties to ensure safety.\n\n

Rapid App Development and Low Code/No Code

\n\nIn a world where everything is interconnected and relies on the speed of delivery, many inventions want to make the processes speed up. Rapid app development (RAD) comes into play here as a critical subject that many of us are likely already exposed to.\n\nFor example, Agile software focuses more on current software projects and user feedback. Can you believe that it does not follow a strict plan? The software helps rapid prototyping over costly planning.\n\nThe process of rapid app development is straightforward, as shown below:\n\n

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• Requirements: Rapid app development does not have any strict requirements and has the permission to change any of the conditions at any point of the cycle. The client provides the company’s vision for the product, agrees with developers, and finalizes the requirements that fulfill the goal.

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• Prototype: This rapid application development develops a prototype to make the client understand the result. The RAD programming has a finalizing stage where all the errors are corrected and cut, and the final product comes out.

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• Feedback and final product: Along with the feedback, the RAD makes the final product, yet they are ready to perform possible changes, as step two of the process describes. However, if the client is satisfied with the outcome and the positive feedback, what is made will be the final product.

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• Last stage: The last stage is to submit the final product through demonstration.

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\n\nAs for Low Code/No Code development platforms, they are a kind of visual software development. Such a procedure allows industrial developers and citizen developers to drag and drop application components, combine them quickly, and create mobile or web apps useful for different functions.\n\nLow-code development platforms reduce the amount of time spent, enabling faster delivery of business applications.\n\n

Containerization

\n\nContainerization is a way of packaging software code with just the operating system, and its libraries and dependencies required to run the code. It comes in a single, lightweight executable, called a container, that runs without disturbance on any infrastructure.\n\nInstead of complying with the entire operating system or with your software, your code is in a container that can run anywhere. As these containers are pretty small, you can pack a lot of such small containers onto a single computer.\n\nThe concept of containerization allows developers to create and deploy applications with great speed and more safely. Earlier, code was developed in a specific computing environment. But when you transfer it to a new location, it often results in bugs and errors.\n\n

Deep Learning Libraries

\n\nDeep learning is simply a machine learning technique. It instructs a computer to filter inputs through layers to learn how to predict and classify information. It is operated through images, text, or sound, and is inspired by the way the human brain filters information.\n\nFor example, deep learning is a critical technology used in driverless cars, enabling them to recognize a stop sign or identify a pedestrian from a lamppost.\n\nIt is a continuously growing method of a broader family of machine learning based on data representatives. As a relatively new concept, the vast number of resources can be fascinating for those trying to get into the field of IT or those already in it.\n\nThere are Libraries that are famous for this deep learning technique. Below is a list of deep learning libraries that are commonly in use.\n\n

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• TensorFlow Keras: TensorFlow is a library for multiple machine learning tasks and also an open-sourced, end-to-end platform. Keras is a network library that runs on top of TensorFlow.

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• Caffe: Caffe is a deep learning program made with expression, speed, and modularity in mind.

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• Microsoft Cognitive Toolkit: (Previously CNTK). The Microsoft Cognitive Toolkit is an open-source library that is used to create machine learning prediction models. Generally, it creates deep neural networks, which are at the top of artificial intelligence attempts such as Cortana and self-driving automobiles.

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• PyTorch: The PyTorch framework helps about 200 different mathematical operations. It is very popular because it simplifies the creation of artificial neural network (ANN) models.

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• Apache Mxnet: MXNet is an open-source deep learning application that allows you to identify, train, and deploy deep neural networks on a wide range of devices, from cloud infrastructure to mobile devices.

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• DeepLearning4J: DeepLearning4J is a support framework for deep learning algorithms.

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• Theano: Theano is a Python library built for fast numerical computation that runs on the CPU or GPU. It is used as the key foundational library for Deep Learning.

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• TFLearn: Tflearn is designed to support a higher-level API to TensorFlow. It facilitates and speeds up the experimentations while being transparent and compatible with it.

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Multi-Model and Multi-Purpose Databases

\n\nIn database design, the multi-model database helps to manage multiple data models against a single and integrated backend. The single data model is mainly organized and stored in database management systems.\n\nA multi-model database is a database that stores all the data in more than one model. In the beginning, databases have primarily supported only one model: relational, document-oriented database, triple store, or graph database. A database that combines all of these is called a multi-model.\n\n

Artificial Intelligence

\n\nArtificial Intelligence is among the top of the latest techno trends. It is a unique technology that makes a machine simulate and interpret human behavior.\n\nMachine learning is a subcategory of Artificial Intelligence that allows a device to automatically learn from past data stored in the memory without programming further. The goal of Artificial Intelligence is to make an intelligent computer system similar to the human brain that helps solve complex problems.\n\nSo now the world is moving toward this concept and, soon, it will take over all the complicated processors.\n\n

AI-Powered Cybersecurity

\n\nAI-powered cyber security is one of the most vital concepts in terms of security aspects. Artificial intelligence can prioritize risk instantly and spot viruses or malware on the networks. It can also detect threats even before they activate.\n\nAI is at the top as a significant aspect of cyber security. It will increase the efficiency of all aspects of life like online shopping, information technology, telecommunications, etc., in protecting it against cyber threats.\n\n

Clean Technology

\n\nClean Technology is one of the most concerning terms in tech developments. How do you define clean technology?\n\nClean Technology or cleantech is any process, product, or service that reduces negative environmental impacts by energy efficiency improvements, better use of resources, or any other environmental protection activities.\n\nThe benefits of clean technology in any industry or field can include less waste, recovery of by-products, improved environmental performance, improved productivity, better efficiency, and reduced energy consumption which results in overall cost reduction. It is the same with information technology and apps.\n\n

Collaborative Technologies

\n\nCollaborative technology is also known as groupware. Collaborative technology, a commonly used term today, refers to tools and systems designed to improve group efficiency. It is related to both in-office and remote work.\n\nThese pieces of technology can cut down the costs and time related to facilitating group work. Such technologies can designate roles and responsibilities to route in-situ documents to checking and approving project parts. This concept offers more inherent and coordinated group problem solving across the entire workflow.\n\nA good tool for collaborative technologies is Creately, though I may be a little biased since I work there! Creately is a web-based work management tool that runs on a smart visual canvas, offering visual solutions for brainstorming, planning, project management, and capturing knowledge. Creately is used in project management, education, and many other sectors today.\n\n

Blockchain Technology

\n\nBlockchain is a system of recording information. Because of its design, it is difficult or impossible to change, hack, or cheat the system. No outsider can get into the system and steal or damage data.\n\nA blockchain is a digital ledger that duplicates transactions distributed across the whole network of computer systems on the blockchain. It also increases trust, security, transparency, and the traceability of data shared across a business network.\n\n

The Future Is Now

\n\nIn this post, I shared with you the most popular programming tech trends that have emerged in information technology.\n\nFrom multi-cloud strategies and rapid app development to AI and, perhaps most crucially, clean technology, the future is now!\n\nThese can be really helpful for your professional careers as well as daily tasks performed through information technology. I hope these facts are informative and helpful for those who seek knowledge on this subject matter.

The post 11 More Programming and Tech Trends in 2022 appeared first on Simple Programmer.

While these myths are persistent and many people believe them to be true, there is no factual evidence to support their claims. As a programmer, it is important not to let yourself be bogged down by fictional statements which ultimately shape your professional career.

To support you on your coding journey, in this article, I’m going to debunk seven popular programming myths, helping you see the truth they obscure, and so help you become a better programmer.

You Need a College Degree to Learn Code

A couple of years ago, a college degree would have been the unquestioned path to getting a programming job. However, due to the changing dynamics of the tech world, employers place a greater value on self-taught skills and practical knowledge rather than four years of a degree. Many companies have waived the compulsion of a college degree as a requirement because they want to see how well equipped the developer is to work for a particular role.

While programmers can learn the basics of coding at school, an internship will get you the hands-on experience you need to apply for a job. Smart recruiters know that dedicated developers put in that extra effort to utilize freelance resources and build a portfolio that sets them apart from competition.

Alternate options to a degree are becoming increasingly popular due to high demand. Coding bootcamps offer intensive training for aspiring programmers and are considered a solid counterpart to bachelor’s degrees. The next best option is to learn by doing. Contributing to open-source projects helps developers a great deal. Developers can polish their existing skills, learn a new technique, and even end up finding excellent mentors for themselves.

Exemption of a college degree means you can learn programming even at a later age, even if you have a totally irrelevant bachelor’s degree. The takeaway here is: Not having a degree shouldn’t stop you from choosing the career you want in programming. Tech giants like Google, IBM, and Apple no longer restrict applicants by a computer degree, so why should you restrict yourself?

Coding Requires Exceptional Math Skills

The majority of people think that if they aren’t good at math, they won’t be able to code. But is that actually the case?

The truth is, good programmers must possess basic algebra skills that are already taught in high school. But rest assured, coding is like writing a language—not solving complex mathematical problems.

Mathematical problems usually have only one correct answer, while the same does not hold true for software development. Programmers have to think out of the box to come up with creative solutions to solve a coding problem. Moreover, programming languages are dependent on each other and share common principles. Once you master a language, it becomes easier to learn the new syntax.

So even if you had an average grade in mathematics in school, you still can be a great programmer. There are plenty of programs out there that do the math for you. It’s all about finding the right resources and making them work for you.

Specializing in One Area Is Key to Coding

There is a programming myth that developers should specialize in one key language. Yet while it’s smart to start off with a single language, it’s not a good idea to just stick to one.

According to experts, developers can take the T-shaped knowledge approach. What this means is that, as a programmer, your aim should be to have a broad knowledge base with at least one area of deep specialization. As a software developer, the key areas for focus are algorithms, data structures, various architectures, and back-end and front-end databases.

The advantage of establishing a strong general base is that it also gives you a fair idea of what specialization you can choose. In some cases, developers choose a specialization where they think they can excel, only to realize later it’s not their piece of work. A motivated programmer should continuously work towards expanding their knowledge where they also branch out their specialization areas.

Other than the T-shaped approach, programmers should develop a valuable trait: adaptability. Recruiters look for developers who have the knack to learn skills in a short amount of time and grow according to the needs of the company. Regardless of the skills you specialize in, keep a flexible mindset targeted towards learning.

Programming Doesn’t Let You Get Creative

Due to the extensive nature of the job, many people believe that programming is a boring profession. While it is true that coding does get technical at times, there is no reason for it to be boring. As a programmer, you design, test, analyze, and even play at your workplace. That being said, coding only gets boring if you stop learning and evolving.

As a programmer, you have the ability to create something out of an idea. One day you are writing code for a website, and the next, you are developing a game. Building something from the abstract requires a great deal of creativity and control—that’s exactly what programming is about.

Even if you feel like you lack that creative touch, worry not! There are some simple ways to get a kick out of the monotonous coding routine programmers might spiral into. Get out of your comfort zone by learning a new language. Master an interesting, new tool to expand your skill set. And most importantly, find fun projects outside of work deadlines to keep your skills and your interest sharp.

Coding Is Just the Act of Writing Code

It is often thought that programmers spend all their time following instructions and translating ideas into writing code. However, that is not the case. Writing good code requires a series of actions that involve non-technical skills as well.

Before a good coder even starts typing the first line of code, they have to learn to read code. The reason is that reading others’ code helps you think about how you might do it better and which techniques you can take away from it.

Writing code means working with other programmers, too. You might do pair programming, join a hackathon, or find a mentor. Taking part in team activities enables developers to polish their social skills as well.

Writing code is simply not just a one-step process. Programmers have to rewrite and revise the code to make it better and easier than before. Therefore, the coding process entails analytical thinking, decision making, and time managing skills—a whole lot more than just writing code.

X Is the Best Language to Learn

Perhaps the most debated topic in the programming industry is whether there is a single best language to learn. In simple words, the answer is no. The reason behind this logic is that each language has its own niche in the coding environment. As a result, recruiters even look for programmers who know a couple of languages.

Since it is not possible to strictly follow a single line of code, there is no one language entirely better than the others. You may use JavaScript for interactive cloud software, while R is considered best for data analytics. Depending on the latest trends, one language may be the rage right now and die out after some time. In order to cope with the dynamic programming market, recruiters want people who are proficient enough to learn more than just one language.

Coders Have to Memorize Syntax

There is a common notion that pro programmers have to learn code by heart. If that were true, there would only be a few star programmers out there. Lucky for you, it is not true at all. Learning syntax is a simple byproduct of learning programming. Given the number of languages out there, it’s not possible to learn the syntax for every one of them—and you shouldn’t try to, either.

Having a solid foundation of a language enables you to look up syntax when required. If you are well versed in a certain language, you will be able to put together the correct syntax. The best solution is to remember the useful bits of a syntax—like the basic functions and logical structures—and practice the rest.

The key here is to jot down best practices for the language you know. Even if you don’t know the syntax, you can play by the rules and have the correct code.

A good programmer doesn’t necessarily know the syntax by heart but knows how to develop one. Regular practice and attention to details helps a lot to get an understanding of the syntax. Like a spoken language, there are new things a programmer can learn every day and apply it to the code.

Don’t Let Myths Define Your Programming Career

Myths, in general, are based on mass opinions which don’t tend to hold factual value. Such opinions lose validity over time as industries evolve and people establish their own realities through practical experience.

Instead of baseless myths, look into some insightful ideas to help you become a better programmer. As a general rule, learn and read on a regular basis. Delving deep into the tech world will help you keep up with the latest trends and techniques to grow both on a personal and professional level.

The takeaway from this article is that you shouldn’t let myths hold you back from accomplishing your potential as a coder. If you want to learn coding at 35, do it—don’t stop just because of a myth that it’s too late to learn code. Don’t let any of these myths stop you from having a great coding career!

The post Debunking 7 Common Programming Industry Myths appeared first on Simple Programmer.

Machine Learning and Deep Learning are the two subsets of Artificial Intelligence. Whereas machine learning refers to computers able to think and act with less human intervention, deep learning involves computers able to use structures modeled on the human brain.

AI is everywhere—using digital personal assistants like Siri or Alexa, opening your phone with Face ID—from getting driving directions to getting recommendations on movies or music and everything in between.

For programmers in particular, AI offers new tools that help them write their code or determine errors. In this article, I will share with you twelve amazing facts about AI that every programmer must know. This way, you can stay informed and up-to-date about the fascinating upcoming opportunities offered by AI.

The 12 AI Facts a Programmer Should Know

Artificial Intelligence is getting into an omnipresent phase. AI is no longer an exotic endeavor to replicate or simulate human intelligence but a tool that we have been using in our daily life for convenience and efficiency. Indeed, advancements in AI will continue to bring a revolution to the tech industry.

With this in mind, let’s see 12 facts about AI you should know to make sure you don’t miss out on these amazing developments.

AI Is Evolving

AI has been ruling since its inception and has been slowly spreading to various spheres of development. Today, a Google-owned AI known as DeepMind can already beat Starcraft Two players.

In another example, the Chinese Alpha Dog is a robot dog that not only acts as a pet but also functions as a delivery agent. This goes to show the multiple opportunities AI presents to developers.

AI Can Pose a Threat too

Artificial intelligence, while acting as a simulator, can cause a threat too. Companies like Microsoft and Google have already issued a warning that bad AI decisions can harm potential businesses, as the AI can be programmed to do something devastating.

Moreover, autonomous weapons are artificial intelligence systems programmed to kill that can cause huge casualties.

Overall, such examples show how programming an AI—at least on such a scale—requires careful consideration on behalf of the programmers.

Increased Education In AI

Decision-making by AI can lead to a 40% increase in productivity, allowing programmers to spend their time more effectively, with a greater work-life balance. This can also lead to more opportunities for studying and furthering one’s knowledge. This means AI can possibly allow you more available time to learn something new that can help your career as a developer.

Moreover, students are opting for AI as an educational and career shift. Today the world’s top universities have increased their AI-related education to educate developers on AI matters.

AI Bots Are Programmed to Sound Female

An independent survey has shown that the majority of people prefer to talk to AI bots that have a female voice. Various voice assistants like Alexa or Siri have a female voice, as people find it more pleasant than a male voice.

As a programmer, you should keep this in mind whenever you design such systems—though of course there’s always room for exceptions.

AI Recognizes Emotions

Artificial Intelligence is turning into an integral system of our lives. Our actions, situations, and relations will all correspond to AI in the coming future. We, as a society, are so incredibly influenced by technology that we prefer to talk and spend our major time with machines, i.e., phones, computers, etc.

AI and neuroscience researchers agree that programmers develop AI so that it exhibits empathy. Moreover, machines have started recognizing human emotions. In the 1990s, a robot named Kismet recognized the emotions of the human body by merely listening to the tone of voice, then interacting with humans accordingly.

AI Will Become Smarter Than Humans

AI was developed by humans as a technology revolution. Things have changed to a major extent, with machines using their artificial intelligence and providing solutions. As we are progressing in the automated world, AI will be smarter than humans in the sense that it will be able to decide without human intervention.

AI Will Affect Human Employment

AI offers uninterrupted workflow without taking days off, needing rest, or expecting bonuses. Investment in AI can earn you good returns and reduce business costs to a significant amount.

On the other hand, millions of people have lost their jobs due to AI. As AI is proving to be more efficient than humans, it can turn out to be a threat to programmers’ employment—perhaps ironically, considering that programmers themselves are constantly finding ways of getting work done more easily with AI.

AI Is Being Used by All

Today almost all organizations, whether big or small, are making use of AI. Businesses are looking for AI programmers in the fields of customer relationship management, underwriting, fraud detections, and social media monitoring.

The Covid 19 pandemic further made Python development companies plan to invest more in AI. As soon as the pandemic was declared, WHO signaled that artificial intelligence (AI) can be an important technology to manage the crisis caused by the virus.

AI Developers Pave the Way for Investment Opportunities

Leave behind FDs, cryptocurrencies, and bitcoins. Invest in AI and get a return better than anything else.

Market research suggests that AI investment increased by almost 10% as a response to Covid 19. As many as 80% of enterprises believe that investing in AI will yield them a better competitive advantage than any other investment opportunity. As per the AI Index, the annual investment from venture capital firms into US startups with AI systems has increased as much as eight times.

AI Competition Among Tech Giants

Tech giants are sourcing AI and using it as a base foundation to compete. Some of the most innovative AI companies in the world, like Alphabet’s Google and Nvidia.Microsoft, along with other collaborators, will host a workshop on video analytics and intelligent edges in March 2022.

According to a study by Bespoken, Google’s AI has far excelled that of Alexa and Siri. Programmers can make the best use of such workshops to know the latest trends about AI and get a competitive edge.

Countries Leading the Way in AI

Singapore has become the global frontrunner of AI, as it has been strategically leveraging it in various operations that have already proved to be fruitful.

The top positions leading the way are Canada, New Zealand and Australia, and China. India stands third in the Asia Pacific region and 20th in the Nature Index overall. So investing your career in AI can certainly earn you big anywhere in the globe.

Undefined Ethics of AI

Ethics in the field of Artificial Intelligence are still undefined. There are no agreements, benchmarks, or boundaries clearly set. This may turn out to be dangerous regarding security and privacy levels.

As a concept, AI ethics refers to the moral principles and techniques intended to make an informed development and responsible use of artificial intelligence technology by programmers. As AI has become integral to products and services, organizations are starting to think more about AI codes of ethics.

AI Is the Future

AI has offered us some life-changing applications. From education opportunities to changes in employment and from investment opportunities to the still-undefined ethics of AI, one thing is for certain: AI is revolutionary.

This also affects you, as a programmer. Artificial intelligence, as a technology that keeps evolving, means that a career in AI will be in demand for decades, and is therefore an excellent career choice.

The post 12 Amazing Facts About AI appeared first on Simple Programmer.

Driven by genetics and exposure to chemicals in the environment, it is estimated that 10,470 children under the age of 15 will be diagnosed with this disease in the U.S in 2022.

The rates of childhood cancer have been rising for various reasons, especially in low and middle-income countries due to the lack of diagnosis, misdiagnosis, delayed diagnosis, and lack of drugs, among other factors. What is even more shocking is that in the U.S., childhood cancer research is consistently underfunded as less than 4% of the federal budget is spent on it.

One of the most unsettling aspects about kids battling cancer is that they are mostly treated with chemotherapy. Chemo has debilitating side effects that can reduce their quality of life and even lead to treatment cessation. In addition to side effects, they have to undergo an unstoppable litany of chemotherapy, medical tests, treatments, etc. This could be confusing and emotionally challenging for both children and parents.

Mobile health apps can be a real lifesaver for kids with cancer and their parents. These apps can keep them informed about the different types of treatments available, track symptoms, get social support, and communicate with health care providers.

In this article, I analyze four key features of pediatric cancer app development that enable children with cancer and their parents to deal with the disease in a relatable, compelling, and organized way. The article also shares examples of the best cancer apps to help you better understand the features.

Four Key Features Of Pediatric Cancer App Development

As I mentioned above, a pediatric cancer app should have some key features that allow patients and parents to deal with the situation in a relatable, compelling, and organized manner. Generally speaking, these four features revolve around information, symptom tracking, social support, and reminders. Let’s take a look at them, one by one.

Education and Information

Studies have found that mobile health apps are more effective than traditional methods of communication such as medical pamphlets and verbal conversations with doctors. Research has shown that patients are more likely to remember information provided through mobile health apps.

Offering information and education to patients and parents alike can ensure better disease management, fewer complications, improved quality of life of patients, and high-quality care for children. Mobile app developers should be aware of the needs of their target audience and create apps for cancer that reflect those needs.

In general, when developing an education and information feature in an app, you should keep in mind the following:

• Be interactive. Design the app to be interactive and fun in a way that will make children want to use it.
• Use short copy. Keep the content concise and easy to understand for kids.
• Make it visually appealing.  Kids usually love images, so try explaining complex concepts through images and interactive elements.
• Add quizzes. Use quizzes at the end to determine whether the kids understood the concept.
• Localize the content. Integrate the culture and consciousness of the target market to make it more appealing.
• Update regularly. Updating content in the form of feature improvisations and all on a regular basis will keep the users hooked.

As for examples of apps that currently help children with cancer to understand and manage their disease, I could mention the following.

A new AR cancer management app, created with the help of Tool of North America, has rolled out a series of animated films featuring characters such as a flying unicorn with a singsong voice, a toothy green moss monster, a robot, a dinosaur, a happy slug, and more to help children understand their diagnosis and treatment interactively and funnily.

Imagine a parrot captain explaining to kids how human bodies are full of tiny cells, and sometimes bad ones declare war on the good ones—like a mutiny on a ship. Then there are creative explanations on chemotherapy, hair loss, and feeling sad.

The Kraeftvaerket app is a unique app initiated, created, and evaluated by adolescents and young adults (AYAs) with cancer experience. Not surprisingly, the practical and clinical information offered by the app easily resonates with children and adolescents with cancer.

The app has an information bank—a vital reference tool for patients and parents seeking information during the cancer treatment course. Most of the topics are covered in short video narratives of other AYAs that the patients can identify with. Authentic video narratives bode well both with the recipients and audiences.

EAT or Eating After Transplant is an app designed to offer information to adolescents during the acute recovery period after their stem cell transplantation. The app helps adolescents learn self-management skills about their diet, possible postoperative symptoms, and measures for preventing and controlling the complications. EAT! centers on seven aspects of eating: appetite, food choice, vomiting, taste changes, dry mouth, control of eating, nausea, and normalcy.

The LESS (Late Effects Surveillance System) app is tailored to the patient’s disease status based on the data entered on the type and grade of cancer. A key feature of this app is the one-week reminder for follow-up visits, periodic examinations, and tests.

Symptom Tracking

Oncologists need to communicate with children directly to provide them with proper cancer treatment and care. Children’s difficulty verbally communicating their symptoms and a lack of a system for thoroughly evaluating symptoms prevent them from getting the treatment they need.

In most cases, clinical staff underestimates the number of symptoms children report, which means many go unidentified and untreated. Cancer diagnosing apps that track symptoms with the help of child input and have thoughtful phrases that children could easily relate with can help physicians identify symptoms more accurately.

As such, when developing a symptom tracking feature in an app, keep in mind the following:

• Let children speak. Pediatric oncologists need to measure and record the children’s symptoms in their own words. Why? Because it helps them with precise symptom measurement.
• Add PROs. Including patient-reported outcome (PRO) forms in the app allows for data to be collected directly from patients, which can help improve the quality of care they receive.
• Easy Navigation. The app should be easy to use and navigate so that children can access the information they need quickly and easily.
• SOS Feature. An SOS feature that will send parents notifications when their child enters a dangerous or difficult situation in the hospital.

Some apps that help children track their cancer symptoms include the following.

Sisom is an app that helps children aged 6-12 years old report their symptoms to treatment teams directly. The app’s user interface is based on research that ensures that phrases used resonate with the children, resulting in a compelling collection of symptoms.

The Mobile Oncology Symptom Tracker (mOST) app by Baggott is an iPhone application that helps children and adolescents track symptoms using an electronic version of the pediatric nausea assessment tool (PNAT). Most of the apps in this category are electronic diaries that motivate the target group to measure and report their symptoms daily, which is more effective than paper-and-pencil methods.

The Cherry app is an Android application that helps children and adolescents with cancer record their experiences in diary entries and share them with their parents, peers, and even health care providers. Additionally, the app includes disease-related information and feedback from physicians.

Pain Squad is an iPhone application that helps patients track their daily pain intensity, duration, location, and impact. The application allows children to log medications and other pain-management strategies used. According to NCBI research, the application is easy to use and uses game-based features and virtual rewards to appeal to adolescents.

Some apps offer additional features that help track symptoms, with the idea of providing feedback to the user immediately if the symptoms are found to be severe. The Kraeftvaerket app, for instance, not only offers to measure and record features but also helps present symptoms to physicians.

The app also consists of specific algorithms that enable physicians to arrive at the severity of the symptoms. If the symptoms are identified as lethal, an alarm is automatically sent to the patient, and they receive recommendations for symptom management. The app is said to improve the quality of life and offers support to adolescents and young adults with cancer.

Social Support and Communication with other Patients

The use of apps to connect with others and receive support for personal experiences is appreciated. Additionally, apps can help connect patients with resources and organizations, which reduces stress and financial burden on parents.

With this in mind, here’s what you should consider when developing a social support and communication feature in an app:

• Share videos and stories. Make it easy for patients to communicate with one another through stories, advice, asking questions, and even uploading photos and videos.
• Connect with cancer support care. This is to help parents find funds and other resources from organizations that are actively working in cancer and supportive care.

Some examples of apps that currently provide social support and communication features are the following.

The Cherry app has features that allow users to share their experiences of having cancer with other people using the app, such as friends, parents, and their treatment team.

The Kraeftvaerket app helps users communicate and support each other by sharing experiences of disease and treatment. Users can send messages and pictures to help and support others.

The Care Assistant app provides social support for parents and family members and allows users to share their experiences and ask questions. Moreover, the app helps users contact resources and centers active in cancer and supportive care, which helps reduce stress and financial burden on parents.

Calendar and Reminders

The Calendar and Reminder modules are designed to help patients manage their time and avoid forgetting things. Although this is a critical feature, it is not common among cancer apps.

When developing a pediatric cancer app, keep the following tips in mind to offer a helpful calendar and reminder feature:

• Easy addition of events and reminders. The feature should be developed so that the user finds creating and managing events and reminders a cinch.
• Use celebrity voices and videos for reminders. Using celebrity voices and videos for reminders will prompt kids to perform the required tasks, such as filling forms.
• Offer rewards. For complying with reminder requirements, the kids could be offered some reward.

As I said, calendar and reminder features are not very common among cancer apps. However, there are still a couple of examples I could mention.

The Pain Squad app utilizes game mechanics—promotions and rewards—to encourage children and adolescents with cancer to track pain levels. For instance, when kids at the hospital start their pain journal, they are enlisted in the “Special Police Force” Pain Squad that dedicatedly works towards creating a pain-free world.

The kids receive reminders from “police headquarters” twice a day saying that it’s time to file their reports. The more reports the child fills up, the easier it becomes for them to rise in agency ranks and even receive congratulatory notes from the actors of Canada’s top-rated police dramas.

The Dosecast app helps adolescents with cancer adhere to their medication regimens by providing continual alerts. The app’s most unique feature is its live sync function. Even if the app is downloaded to all devices, each one gets updated instantly. So if you input details in the mobile, the tablet won’t remind you of your medication.

Apps Can be a Real Life-Saver for Cancer Kids

Apps and medication go hand in hand for cancer kids. This means the app developer community needs to be extra sensitive to the needs of cancer patients and caregivers and craft features that seamlessly resonate with them.

Indeed, the guidelines and examples shared above, such as educating the patients, gamification, symptom tracking, social support and communication, and more, are sure to help you put the best foot forward.

That said, nothing can substitute for user testing. Rope in patients and cancer survivors right from the start and get them to test your app vigorously if you are looking for a successful app launch.

The post 4 Tips for Developing Kid-friendly Cancer Apps appeared first on Simple Programmer.

Because React Native UI component libraries save a lot of time and effort through their intuitive features, React Native is gaining more recognition in the community each day, attracting developers across the world.

Have you ever considered how React Native libraries are able to be so efficient in their processes? Would you like to know how to use their components in your apps? If so, this article is for you. I will show you some of the best React Native UI Component Libraries, which can help you in your next React Native app development project.

What Is React Native?

React Native is an open-source UI framework developed by Meta platforms, Inc. An example of its use would be Oculus, where React Native aids in the development of virtual reality applications. It allows developers to use the React framework alongside native platform features to create apps for Android, iOS, macOS, Web, Windows, etc.

Hundreds of firms throughout the world have successfully adopted this paradigm, including well-known companies like Microsoft, Uber, and Facebook. Some of the world’s most popular React Native examples are Instagram, Facebook, and Skype.

In a relatively short time, React Native has risen to the top of the list of mobile development options.

Top React Native Component Libraries

Typically, when creating React components, you have to adjust them and set the style according to the platform rules which you are going to use. This is where React Native comes in handy with its specific framework for creating mobile apps, as it uses both React and its own unique native features. Here is a list of some of the best UI libraries you can use with React Native:

• Native Base
• Native Elements
• Teaset
• React Native Map View
• React Native UI Lib

The React Native component libraries mentioned above have rightly gained immense popularity due to their unique functionalities. Let’s now jump into what, specifically, each of these libraries has to offer.

Native Base

Using the Native Base library as a building block is an excellent way to get started building your app since it provides you with a lot of cross-platform React Native components and other tools that help you build creative apps. This includes components made with React Native and JavaScript functionality, with the ability to customize some features.

It’s a big advantage that one can get with a Native Base library. You can simply utilize any native third-party tools with Native Base, which, as a result, could be beneficial for you in building smart apps. To make your app appealing, you can even use starter kits and configurable theme layouts.

As additional features and displays are added to the app, the themes get more expensive. Still, you can obtain a native appearance and enhance the functionality of your apps by using the same JavaScript codebase. You can even apply different, platform-specific designs for iOS and Android apps.

React Native Elements

This cross-platform UI toolkit integrates Material Design with React Native. It is one of the simplest and easiest frameworks to start with, with over 100k stars on GitHub. Rather than following an explicit design methodology, this Toolkit Library provides a more fundamental structure using standardized inherent components. This means more flexibility in terms of how you personalize components.

Any component used in the app can be customized using a combination of custom attributes and React Native core API features. Avatars, pricing, badges, overlays, dividers, social icon buttons, and more are all included in this library to help developers build exceptional apps. Developed completely in JavaScript, React Native Elements offers high customizability.

Teaset

Teaset is a React Native UI framework with 20+ JS(ES6) components concentrating on content presentation and action control. It’s a small component library that includes everything you’ll need to make a fully operational React Native app. Teaset’s components have a conventional Android app appearance that increases its value among developers.

Teaset itself is a very simple and highly functional React Native library. The purpose of this library is to keep the attention on the app’s content rather than its appearance.

React Native Mapview

React Native Mapview is a unique library that can be used to create amazing apps with iOS and Android capabilities. React Native Map components allow users to customize components which give simple, React-like APIs for adjusting map features. The “Mapview” component is designed so that ordinary map elements such as markers and polygons can be passed easily. By doing so, map features can be controlled declaratively and intuitively through the API.

Changing the map viewing area, putting components on the map, and modifying markers and map design are just a few of the features available. You can zoom in on the coordinates and even make animations if needed.

Mapview can use the Animated API to manipulate the map’s center and focus. This helps in checking and assigning a value to the prop. By providing it with an animated region, default markers are displayed unless custom markers are specified.

React Native UI Lib

Wix produced the React Native UI Lib component library, which includes different exceptional features that you can’t find in other libraries. This UI Lib includes the same features such as themes and other relevant components.

More than 20 customized components are included in this, some of which, like Drawer, may be easily incorporated and give a seamless experience. It also supports both prior and recent React Native 0.65 versions and even includes bespoke animation elements like a graphical card scanner and a moving picture.

This is yet another user interface framework that supports both right-to-left authoring and offers full accessibility of its tools.

Picking the Best React Native Library

All React Native libraries have unique features that make them different from one another. These libraries help you develop apps faster and more effectively, eliminating the requirement of rebuilding and reducing the chances of errors. With these libraries, you can simply build React Native apps.

In this article, I have covered the top five libraries that can enhance your users’ experience on a broad scale. Before considering any UI library, you must have all the necessary information related to your React Native project.

Still, it’s worth mentioning that the React Native environment is massive, and it’s only becoming bigger as the community continues to release new tools to improve the developer experience. You can consult React Native App Development companies for further information and aid in selecting the best React Native Libraries.

The post Top 5 React Native UI Component Libraries that Developers Should Know appeared first on Simple Programmer.

Almost all industry segments have started depending upon AI and ML algorithms for their processing cycles. The technology landscape is advancing at a rapid pace, and it is interesting to witness the advantages acquired. AI and ML have already been revolutionizing the life of developers big time.

Both these technologies are revolutionizing the workplace, and the way businesses operate. These two game changers are enhancing productivity and profitability, driving digitization, and making machines think just like us humans. The real effect is being witnessed in the changing technology landscape.

Before we delve deeper into what transformations are being leveraged due to AI and ML, let us briefly have a glance at what AI and ML mean.

What Is Artificial Intelligence?

AI is a trending area of computer science that deals with the creation of intelligent machines that can perform human tasks with ease. Moreover, it has automated activities or robots that are controlled by a computer to perform tasks as done by humans. Truly, AI is instrumental in developing systems that are embedded with human intelligence, generalization, and past learning experience.

AI aims towards the intelligence that machines show and its simulation in normal human circumstances. Certain examples of AI touching our daily lives are Deep Learning, Siri, Alexa, self-driving cars, conversational bots/chatbots, quantum computing, email spam filters, voice and facial recognition, cyber security, and many more.

Key Benefits That AI Offers

• Automation of simple and repetitive activities
• Data ingestion
• Creation of neural networks
• Facial recognition and chatbots
• Simulation of human intelligence

What Is Machine Learning?

Machine Learning is an integral arm of AI that offers computers the ability to learn. It programs analytical model building and helps in identifying patterns, taking decisions with least human interaction, and predicting outcomes without any explicit programming. It makes use of historical data as an input.

Machine Learning is significant since it offers organizations futuristic trends in client behavior, workflow patterns in business, etc. It is most used in cases like fraud detection, malware detection, spam filtering, business process automation, and predictive maintenance. It is now a centralized ingredient for most business segments.

Key Benefits That Machine Learning Offers

• Automatic data visualization
• Accurate analysis of data
• Client engagement and satisfaction
• Enhanced work efficacy
• Pre-processing of data

If you’re interested in an in-depth analysis of AI, you could also consider reading Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence.

5 Top Business Segments Enjoying the Benefits of AI and ML

Having seen what AI and ML are and how they bring amazing technological advantages, it’s time to see the five top business segments that use AI and ML to enhance their processes.

Healthcare and Medicine

Healthcare is one industry that is relying more on systems that use artificial intelligence and machine learning. There is much prediction-based analysis being done here, with deep learning training computers to identify and diagnose medical conditions, along with robotic surgical procedures that use AI for precision.

Implementing AI in different areas in the healthcare sector can lead to saving time and reducing costs. Taking care of patients efficiently is of prime importance and  can best be done with AI-based implementations. Examples are the discovery of new medicines, efficient robotic processes, virtual nursing, flexible treatment options, radiological imaging, computational outputs, disease detection methods, and many more.

AI tools are apt in identifying probable illnesses well in advance, leading to timely solutions. They also help train patients in self-care skills and offer appropriate assistance and resources. It is interesting to see how AI could predict medical conditions and revive the healthcare system.

Different AI technologies—like content analytics, predictive analytics, deep learning, and natural language processing (NLP)—have been instrumental in enhancing healthcare and analyzing patient conditions much earlier than before.

AI and ML algorithms are leveraged in the diagnosis sector to extract the best results effortlessly, without much human intervention. A dearth of human resources has driven the adoption of AI technologies at a faster rate.

Transportation

According to Markets and Markets, the use of AI in the transportation market is projected to grow at a CAGR of 17.87% between 2017 and 2030. The penetration of AI and related technologies in the transport sector has revolutionized the way operations are being managed in this industry. Transport is now faster, flexible, conventional, cheaper, and more effective.

The competitive AI and ML algorithms have offered a great service level to users at very affordable prices. Self-driving/autonomous vehicles, portals like Uber pool/Ola, lane changing portals, automatic vehicle guidance and braking systems, traffic management, drone taxis, and delay predictions are all live proof of AI and ML influencing the transport sector in a positive manner.

Advanced AI and ML technologies can facilitate driving from monitoring other vehicles for parameters such as driving behavior, weather, road conditions, etc. The relevant tools help drivers get a smooth ride. There are also light detection programs that measure the parameters in a certain area and alert the driver in case of any upcoming trouble.

The different tools used in the transport sector help analyze the factors affecting traffic conditions so they can alert users well in advance in case of obstacles. They also help drivers avoid a collision with other vehicles and, overall, take necessary action in case of unforeseen circumstances such as an accident or extreme weather conditions.

Over-reliance on tools does have repercussions if not handled properly—for instance, blindly following navigation systems has proved to be dangerous—but with AI going strong, the future has a lot of positive to offer in the transport sector.

Speech, Voice, and Language Recognition

The voice biometrics market is expected to reach $5,889.9 Million by 2028, an increase of 22.3%. It’s clear that the penetration of AI and ML into the voice and speech sector is causing more people to use these increasingly high-quality systems.

Indeed, voice recognition and translation algorithms are now nearing perfection in terms of accuracy levels, helping people with speech and hearing issues. The utilization of voice recognition is increasing day by day, both in personal and professional life. People are now getting used to offering their voice controls in extracting information from portals.

Even translation into multiple languages is increasing its spread for many portals. The Google Translator is helping in different areas, like reading street signals, instruction manuals, signboards, etc. Real-time conversation can be translated into desired languages by users, leading to a flexible and effective output.

Software like Google Home can take voice commands in national languages too. Popularly known as Voice AI, this technology is a conversational AI tool that leverages voice commands for receiving and interpreting directives.

Voice and speech-based technologies are easy to integrate with multiple devices and software solutions. With their multilingual support and voice-embedded algorithms, they offer enhanced security of information that is being passed on from one place to another.

These AI and ML-driven speech and voice software have attractive GUI embedded with algorithms that can connect easily to external systems. Live examples—like Apple’s Siri and Amazon’s Alexa—are using AI-driven speech recognition techniques for offering voice or text support. Google Dictate is one such voice-to-text portal that transcribes the dictated sentences into text.

Education

Education and eLearning have been one domain that has seen increasing adoption of AI and ML techniques in recent years, and there is much more expected in this year. In fact, the use of AI in the global education market is projected to reach $3.68 billion by 2023, a growth rate of 47%.

Newer activities like virtual tutoring, online colleges and universities, competitive exam preparation, assisted learning, modern-day education tools, and online learning material access have been the new way of studying and administering colleges/schools.

There has been digitization of textbooks through AI methods so that the material can be easily distributed at cost-effective rates. Organizations are offering customized software solutions with embedded AI and ML algorithms to support. These solutions are thinning the gap between the physical and digital worlds.

The role of teachers is also changing, with help from AI and ML. Teachers are using new techniques for things like assessing each student’s individual performance and needs. These techniques can help analyze the student’s strong and weak areas and recommend actions that can strengthen the student’s academic future.

Relevant course material, tests, online worksheets, etc., can be offered to students through AI-driven algorithms. Personalized training through test sheets can be offered through AI methods. Even usage of chatbots has been increasing for instant help and guidance.

The entire education and eLearning sector—which had a back seat until recently—has now progressed as a full-fledged, competitive business domain, thanks to the smooth integration of AI and ML techniques.

Even natural language processing technology has played a pivotal role in spreading the wings of education far and wide. Smart content creation, task automation, personalized and flexible learning, and universal access are some of the key benefits the education sector is enjoying owing to AI and ML.

IoT and Smart Cities

The Internet of Things has been bringing the physical and digital worlds closer. Thanks to the IoT, there is a lot of valuable data that is getting generated and can be leveraged for future benefits. It is AI and ML-based algorithms that have played an instrumental role in extracting the best of information and modernizing the entire IoT infrastructure.

To understand how important AI is to the global IoT market, it’s expected to grow at a CAGR of 27.3% by 2026.

The novel “Smart Cities” concept is also picking up pace, with AI techniques playing a key part in its implementation. The utilization of data science techniques and sensors is making urban places smarter and interwoven with technology. It is helping cities take smarter moves and get increasingly modernized.

There are many visible benefits that AI and ML are bringing to smart cities through IoT devices:

• controlling pollution and offering effective water and energy management
• predicting and lessening traffic and noise congestions
• predicting the future needs and business trends in different industrial sectors
• offering efficient car parking systems
• tracking recycled material and overall managing waste properly

These are only some of the possible ways in which AI has been helping smart cities become smarter.

If you’re interested in finding out more about the future possibilities of AI, you could also read A Thousand Brains: A New Theory of Intelligence.

The World Leverages the Power of AI and ML

As you have likely realized reading through the above five segments that are enjoying the benefits of AI and ML, the world is changing. We find ourselves getting used to these modern-day technologies in our daily lives—both personal and professional.

From healthcare and transportation to language, education, and smart cities, AI and ML offer a plethora of solutions to all kinds of problems, making our lives easier and our procedures smoother. And this is just the beginning!

The post How are AI and ML Expanding the Technology Landscape? appeared first on Simple Programmer.

But is that the case?

For better or worse, these myths exist, and it’s not productive to blame people for spreading them. But what we can do is shed light on what is correct and what is a myth. This will benefit us all as programmers.

In this post, I will be debunking the eight most common coding myths by presenting the facts. “Knowledge is power” might be a cliche, but it is so for a reason: Understanding these eight common myths about coding will allow you to be more productive and even happier at your work as a programmer.

Myth 1: Reusable Code Is a Bad Practice

The first myth affirms that deploying reusable code is a bad practice. As a developer, you must of course know which code can make you slip into the trap of repeating code, and it can take some digging to figure out how much is duplicated.

Reusing code often sounds easier than it actually is. Still, you can reuse code if possible, when, for example:

• It’s simple to extend and adapt for a new application.
• It’s ported to different hardware.
• You want to avoid faults or issues that could jeopardize the new application’s dependability, safety, or security.

And so, reusing code is not necessarily wrong. A web framework can also help you reduce the amount of code you write. As a developer, you can learn a few web frameworks to understand code reusability and how to use standard codes.

Myth 2: Your Choice of Programming Language Does Not Matter if You Are Proficient

Well, this is the biggest myth of all times, and undoubtedly there are many people falling prey to it.

To me, the choice of programming languages is of the topmost priority because it decides the future of my application. Programming languages are developed constantly to make developers’ lives easier. So, when there are a lot of options, switching between languages is quite normal.

The myth here appears true to those with expertise in one specific language. Their logic behind preferring their language is just their expertise and also the fact they don’t need anyone else when it comes to any challenges regarding the language.

Technically, choosing a language should be dependent on your app and your industry. The idea that developers can choose any language they want—rather than what suits their apps the most—is a myth. If needed, it’s a good idea to seek help from third-party IT outsourcing companies who are specialists and can guide you to the desired outcomes.

Myth 3: More Eyes on the Code Means Fewer Bugs

Developers might believe that the more the eyes that scan the code, the fewer the bugs. Well, this is definitely a myth because keeping a constant eye on the code is just not enough; we need to have the ability to correct the bugs, too.

Many open-source developers are confident that if the bugs are identified, they are halfway to solving the problem. But no, that’s not the case. The myth goes something like this: Open-source software has an inherent advantage over proprietary software. Since anybody may evaluate it, it means they can uncover flaws and fix them.

Regrettably, that is just wishful thinking.

The fact that bugs can be found does not guarantee that they will be found. Today, the majority of open-source projects have significantly more users than contributors. Many people don’t look at the source code at all, so the total number of people involved in most projects is inflated.

Just having many eyes looking for bugs will not near-magically decrease their numbers. Rather, spotting and correcting errors should be done as part of proper procedures and methodology. Testers can use regression testing to spot recurring errors and eliminate all other unfocused errors, which could be missed otherwise.

Myth 4: Developers Must Learn Only the Best Programming Languages

Who defines the best programming language? Well, there is no such thing—or, if you’d like to see its other side, the best programming language is the one that best suits your current needs.

And so, I must bust this myth, as there are some excellent programming languages for particular purposes. If you’re a beginner, Python is a wonderful place to start because of its ease of use, readability, and versatility. Java is also simple to learn and, best of all, it comes with rich documentation and a devoted following, or you can leap right into C# like I did.

After that, you must choose your programming language depending on the speed, unique features, compatibility, maintainability, and other factors of your developing app.

Myth 5: Success of Code Is Guaranteed by Skills

Well, I beg to differ. Though part of it might be true—in that good skills are required—the fact is that skills alone cannot guarantee you a good quality of code. It is experience and knowledge that also play a vital role in making the source code successful.

In reality, a software team might fail regardless of the qualifications or skills of its members. As I mentioned above, experience and knowledge of dealing with unique apps and their code issues make communication usually the most critical aspect of a software development team.

Team members who, apart from expertise in their programming language, also have excellent communication skills will simply do better than those who lack soft skills. It doesn’t matter how skilled a coder you are; the ability to understand the requirements, implement code easily, deliver good quality, and collaborate with others are the most important factors that will set you apart from the competition.

Myth 6: Not All Code Needs Backup

This is a myth because this generally doesn’t happen with most developers. But if you recognize yourself in this statement, you can learn how to use Git. This will help you manage your files easily without losing any data or information.

It doesn’t matter what version control software you use as long as you know how to utilize it properly. If your computer or network breaks, you won’t lose a critical modification. New developers will find it annoying, and veteran developers will find it disastrous, but only if they do not acquire a habit to secure their code.

Myth 7: Good Coders Need To Work for Long Hours

The Japanese phrase “Karoshi” means “death by overwork.” There is this stereotypical mentality that coders work day and night to make things work. But does that make them good coders?

As per the statistics, there are many geeky developers working for an average of 56 hours per week to deliver the best code. But the truth is that working long hours doesn’t necessarily guarantee results. This myth remains persistent among developers, and there are many who think they need to work overtime to meet deadlines.

Practically speaking, a project should be designed in a way that it sets realistic deadlines. The sprints decided in the beginning of the project should not require extra hours by the developers, and the scheduled timeline should be met without any compromise to quality of code or performance.

Maybe some projects show fuzzy and unrealistic deadlines because they are poorly designed. Programmers are then forced to chase a deployment date, and in such cases, one can expect neither errorless coding nor high morale.

Myth 8: New Tools Bring Better Results

Since technology is everything in the software business, this myth seems to be true. If you choose the latest-and-greatest tool for your business, you should end up getting fruitful results, right?

Right?

Well, not quite. There have been enterprises that have tried out newer, advancing technologies in an attempt to get ahead of competitors. But the “latest and greatest” technology does not assure success.

The biggest example of it is Twitter, which is the most prominent and largest company in the world to operate on a Ruby on Rails platform. But soon after they faced scalability and performance concerns, they shifted their focus and rewrote the code in Scala before they made a move to JVM.

This shows that not all new tools can bring fruitful results at once; sometimes you have to go back to the traditional approach. Similarly, there are other leading companies like Reddit, Yammer, and Yahoo that have also let go of the thought that new tools necessarily bring better results. The reality is quite different from the myth.

Meet the Real World of Programming

In this post, I debunked the top eight myths of the programming community. Some of these myths can sound plausible—for example, that new tools necessarily bring good results or that coders need to learn just one programming language.

So let go of these myths, and step into the real world of programming. Hopefully, this post has brought you some clarity, showing how to differentiate between truth and myth and empowering you and your company to gain higher customer engagement and drive greater success.

The post Fact or Fiction? 8 Myths About Software Programming appeared first on Simple Programmer.

Whether it’s automation, stronger security, augmentations, cross-platform compatibility, or a plethora of other goals, it seems like apex coders never call it a day. Their undying effort to create the perfect product pushes society forward and inspires the next generation of programmers.

Let’s take a look at 10 of the top software development trends that we’re likely to see more of this 2022!

#1: Increased Cybersecurity

Every software developer knows (or should know) that an important factor for every application or website is security. Given its importance, there will definitely be an increase in cybersecurity—especially after the surge in cybercrimes we saw throughout the pandemic.

Cybersecurity is a high priority for governments and other organizations, as they simply can’t afford any data breaches. The estimated global cost for cybercrimes is $6 trillion annually, leaving the door open for cybersecurity ventures.

Almost 2,200 people suffer from cyberattacks every single day—which brings the annual total to more than 800,000 people worldwide. More websites and applications will start to require two-factor authentication, frequent software updates, stronger passwords, and other proactive measures.

The added steps are simple, and as users we need to go through them to keep our accounts or networks secure. Developers are tirelessly working on protecting any sensitive data so that consumers can continue to feel safe while transacting online.

#2: Voice Control

Siri, Alexa, Google, and other interactive virtual assistants (IVAs) are just a few examples of the advances in voice-control technology. Voice control has turned into a trend because it has quickly become a great help to humans who are dealing with mundane, everyday tasks.

For example, you could be getting ready to go but need to call your friend while your hands are full. All you’d need to do is summon Siri by saying, “Hey Siri!” and ask her to conveniently dial your friend’s number for you.

It should also be noted that voice control could make a big difference when it comes to accessibility. Those who are visually impaired or physically handicapped can now interact with tech in a much easier way than ever before.

Bear in mind, voice control can work with desktop computers, laptops, and even smart TVs. Smartphones and smart-home devices are just the first mediums that IVAs found widespread adoption in.

With technology developing every passing day, who knows what can be commanded. It’s not hard to envision a future where virtual assistants control the room temperature, lights, and alarm systems for many houses on the planet.

Even today, we already see power companies using automated systems to adjust thermostats in homes, with the aim of being more eco-friendly. This is only the start for smart home technology and the wider applications of voice control.

#3: Low-Code/No-Code Use

Not everyone can read and speak code like some kind of robo-linguist. Jumping from Java to Python or to C++ can be extremely jarring, especially for coders who are new to the industry.

However, platforms that make use of visualization software and drag-and-drop editors make it possible for everyone to become their own developer.

It’s important to note that the uses for visual software aren’t limited to creating simple apps. In fact, many large websites have been created with no-code solutions and a drag-and-drop editor. No-code/low-code solutions make development a lot more accessible.

Instead of having to learn multiple programming languages or hire an entire development team, startups can create a minimum viable product on their own with such solutions. That said, there’ll always come a point where you need experienced developers on board.

There are myriad factors that could prompt companies to take the leap toward an in-house development team. A few examples would be adding custom integrations, implementing complex features, or developing an app for a new platform (from desktop to mobile and vice versa).

#4: Internet of Behavior (IoB)

These days, almost everyone you know browses the internet in one way or another. Most people have social media accounts or work remotely. The ways that people interact with the internet can tell you a lot about their behavior.

With such widespread use, it’s inevitable that bad actors will abuse the sheer accessibility that the internet has brought to society. Even if you set hackers aside, there’s no question that large tech companies are getting hungrier and hungrier for user data.

By 2023, Gartner estimates that 40% of the world’s population might have their individual activities digitally tracked. This data could also be used for targeted marketing campaigns that will undoubtedly have an impact on our behavior online.

In fact, you already see industry-leading software companies like Userpilot putting a great emphasis on behavioral segmentation. They’re not the first and surely won’t be the last, so getting a good grasp of IoB is absolutely worthwhile.

One approach would be to use behavioral patterns of your most satisfied customers as a guide for which features to promote to the rest of your user base. Of course, supplementing this with insights from feature surveys would work best.

#5: Widespread Adoption of Artificial Intelligence

If you’re up to date on pop culture, you’ll likely be familiar with the meme of robots taking over planet Earth. However, it’s starting to sound more like fact than fiction as time goes on. There’s no question that AI can improve management of projects and overcome unique obstacles.

One of the first and most famous AI-equipped robots was built by the company Hanson Robotics. They built a female robot named Sophia Hanson, who stunned the world with her advanced programming for the time.

She was eventually named the United Nations Development Programme’s first Innovation champion. Countless companies are now adopting AI as a means of streamlining human workflows.

Whether you’re in engineering, education, medicine, business, or various other industries, you’ve likely already come into contact with AI workflows—whether you know it or not. These can range from simple things like automating a task on a Trello board to more advanced uses.

Many telephony platforms and call center solutions already use artificial intelligence to identify data trends and optimize the flow of their day-to-day operations. AI shines in taking care of the repetitive, time-consuming tasks that distract humans from creative processes that can’t be outsourced to a machine.

#6: Growth of the Metaverse

There’s no question that the metaverse is growing.

If the concepts in “Ready Player One” used to seem like fantasy, companies like Meta/Facebook, Unity, Roblox, and various others are building a virtual world for people to work, play, and almost live in.

In 2020, the metaverse’s market value was estimated at $22 billion and is predicted to increase by 41.7% in the next few years. It might even reach up to $800 billion in market value over the coming decades.

People are expecting a bigger metaverse, and they are ready and excited for it, although people are also expecting it would change and replace the “real life” and terminate all actual human contact, which happens to just be over-exaggerating the metaverse.

There are already numerous ways to invest in augmented and virtual reality, and large platforms are already investing in the metaverse. An example would be Facebook’s Meta, which lets its users learn and collaborate in 3D spaces that can go beyond what they imagine.

As the metaverse is growing, payment with cryptocurrencies is becoming a normal thing too, and things like the bitcoin calculator have become an essential tool for internet purchases.

More platforms are looking to extend the use of the metaverse, especially in the gaming world, as gamers are looking forward to the experience.

#7: Nearshore Software Development

The main difference between nearshore outsourcing and full outsourcing is the proximity to your headquarters. A good example would be a U.S. company outsourcing their workload to Mexico or Canada rather than Asia or South America.

There are quite a few pros to nearshore software development that have made it popular as of late. First of all, you’ll have the entire team working in a similar time zone, which can make it easier to coordinate schedules.

Second, you’ll also get access to a larger (and likely more affordable) talent pool, which can help you hire the right people without breaking the bank. As these developers live outside the U.S., their cost of living is a lot lower, which often means they’re satisfied with lower rates.

That said, there are a few drawbacks to consider, like language barriers and the smaller talent pool compared to offshore outsourcing. Overall, it’s a good option for startups that need help with processes like development, sales, and customer support.

#8: Progressive Web Apps (PWAs)

There are several progressive web applications that have become quite popular—often delivered through the web using common programming languages like JavaScript, HTML, and CSS.

Some successful PWAs are Todoist, Simplenote, PhotoStack, and Flipboard, with their rapid user growth being a direct result of their unique implementation approach. In the future, progressive web apps might even replace the native applications that we currently use.

After all, why would you take the time to install and setup a program if you could run it just as well through the web. In fact, we’re already seeing this with many tools like Discord and Asana, where users just use the app through their browser.

The development of PWAs creates a faster, engaging, and more reliable experience for users.

#9: Cross-Platform Development

Android and IOS are in completely different worlds. These different operating systems limit the connection and the compatibility between apps. However, with the advent of cross-platform compatibility, it’s becoming increasingly possible to handle all your tasks regardless of what OS you’re using.

Not only is cross-platform useful in mobile operating systems, but it can also benefit those who use team collaboration software or like to game in their free time. We’re finally nearing a point where you can play with your friends on mobile through your desktop gaming rig.

Cross-platform is additionally beneficial to developers, since it leads to easier implementation. Essentially, they’ll be able to work with reusable code, which saves a lot of time and effort on their end.

#10: Human Augmentation

There are already many forms of human augmentation—tech that increases human capabilities—that are available today. When properly utilized, they can heighten human potential and improve various aspects of life, such as productivity, health, or athletic performance.

Human augmentation development is the next step in extending human capabilities, just as the combustion engine and internet were. While it’s often perceived as futuristic tech, creating cognitive and physical augmentations is something that scientists are actively working on.

The year 2022 is a look forward to human augmentation and even prosthesis. With the ever-growing technology, it’s possible for the blind to see and the deaf to hear again. Human augmentation development can bring forth a new level of healing for all of humanity.

The Future Is Now

As you can see, the cutting edge of software development shows no signs of slowing down when it comes to innovation. Programmers will continue to optimize every aspect of their workflow and code until they achieve peak results; that’s just who they are.

Whether you’re redirecting your development efforts toward web apps, hiring nearshore programmers, or leveraging the power of artificial intelligence to get ahead of your competitors, it’s certainly an exciting time to be in the industry.

If you enjoyed this article, then be sure to share it with one of your friends who either has a passion for software development or is thinking about learning how to code. You never know when the latest trends might inspire the coders of the future!

The post 10 Software Development Trends To Expect in 2022 appeared first on Simple Programmer.