AI app development has gone past the point of being a trending topic. It is now an integral part of almost every digital business, be it traditional or online.
As per Forrester’s predictions for 2021, AI will create 2.3 million jobs and take away 1.8 million jobs from people across the world.
This means there are ample opportunities out there for individuals who are willing to learn AI development skills to get ahead of the competition. So if you’re looking to build your career in AI application development, this article is for you. We’ll run through the latest trends in AI app development that will shape future businesses around us:
- Blockchain technology integration with AI app development
There was a time when people believed that cryptocurrencies such as Bitcoin would take over fiat currencies. That may not have happened, but blockchain, the underlying technology that powers these digital currencies, is set to become an essential part of AI development.
Blockchain integrates with AI app development in various ways, including storing data on blockchain ledgers and smart contracts for payments or other transactions between AI systems.
- Rise of chatbots & voice assistants
Gartner predicted that 70% of white-collar workers would interact with conversational platforms daily by 2022.
Chatbots are basically computer programs that mimic written human conversations through chat interfaces like Facebook Messenger, WhatsApp, etc. Voice assistants like Siri (Apple), Bixby (Samsung), Google Assistant, etc. interact with users and can perform specific tasks through the user’s voice commands.
These assistants are becoming more and more sophisticated, with a number of companies now working on training their assistants to move beyond pre-programmed answers and into actual improvised conversations.
- AI-powered cyber security
Cyber security is a major concern for online businesses and AI can be an effective tool to help mitigate and reduce fraudulent activity. It can help identify possible threats and take rapid and automated countermeasures to protect the business and create a safer internet space for everyone.
- Embedded systems with artificial intelligence
In recent years, embedded systems have become a hot topic for AI development. This is because such systems are capable of handling large data sets and carry out complex computations quickly. Moreover, they can be used to power various devices like vehicles, home appliances, healthcare equipment, etc.
- Development of personalized AI applications
Personalized AI applications are those which are tailor-made according to specific user requirements. Such applications are generally more efficient and effective than generic ones. In the near future, we can expect more personalized AI apps to hit the market as businesses aim to provide better user experience and increase their competitiveness.
- Increasing popularity of robotics & machine learning
Robotics and machine learning (ML) have always been popular AI development trends. They’re not only popular with mobile app developers but also students, researchers, scientists, and various other professionals working in the field of artificial intelligence.
ML is a version of self-learning where smart bots and appliances are taught to perform specific tasks by themselves. Robotics on the other hand is a branch of AI that focuses on creating intelligent machines capable of carrying out different manual/physical tasks for humans automatically.
- Increased demand for cognitive computing
Cognitive computing refers to the capability of computers to learn from experience, just like humans do.
Over the last few years, this concept has become popular with enterprise businesses due to its potential to provide deeper insights through data analysis and predictions. In the coming years, cognitive computing is set to become an essential part of AI development.
- Increased use of natural language processing (NLP)
NLP is a technology that allows computers to understand and interpret human language naturally. This is done with the help of machine learning algorithms and natural language processing libraries.
In recent times, NLP has gained immense popularity among artificial intelligence app developers as it can be used to develop chatbots and digital assistants that are capable of understanding human conversations in a more accurate way.
- Emergence of virtual reality (VR) and augmented reality (AR)
VR and AR are two technologies that are gaining popularity in the field of artificial intelligence. VR allows users to experience a simulated environment, whereas AR adds digital elements to the user’s real-world environment.
Both VR and AR have a lot of potential for various business applications. They can be used for training and development purposes, marketing and sales, and customer support, amongst other things. In the future, we can expect more businesses to start using these technologies for better engagement and interaction with their customers.
- Beacon technology
Beacon technology is a type of proximity sensor that helps devices interact with each other wirelessly over short distances. It has been gaining a lot of attention in the field of AI due to its potential for use in various scenarios like retail, healthcare, transportation, etc.
Some notable applications of beacon technology include indoor location tracking and object identification and tracking. We expect more innovative uses of this technology to emerge very soon.
- Smart hubs
Smart hubs are devices that connect different smart devices and home appliances to a single platform for centralized control and management. An example of the Internet of Things (IoT), they’re usually equipped with various sensors and processors to enable communication between devices.
IoT is a network of interconnected devices (smartphones, wearables, home appliances, vehicles, etc.) that can communicate with each other without the need for human intervention.
These technologies have gained in popularity thanks to their ability to simplify our lives.
- Edge computing
Edge computing moves some, or all, computing functions away from centralized data centres to the edge of the network, closer to the user. This helps reduce latency and improve performance.
Edge computing has become increasingly important in AI development as many AI applications require the real-time processing of data. In the coming years, we can expect to see more edge computing platforms being developed for better performance and support for AI applications.
- Proliferation of self-driving cars
Self-driving or autonomous cars are the next big thing in the world of transportation.
With advances in AI, it’s now possible to develop cars that can drive themselves without human input. This is a game-changer for the automotive industry and is expected to revolutionize the way we travel.
This mobility revolution, as it’s sometimes called, will see businesses increasingly rely on autonomous cars to increase safety and reduce long-term costs.
These are just some of the AI app development trends that we can look forward to in 2022 and beyond. Do you think any other trends will make an impact? Let us know in the comments below!