5 AI Trends We Should All Be Watching in 2022

Let’s walk you through the 5 prominent AI trends to watch out for in 2022 and discuss their implications on businesses.

It’s no secret; AI is on the rise!

Businesses are increasingly adopting AI to streamline operations, and the benefits are clear. From improving efficiency and reducing costs to creating a better customer experience, AI is crucial. It’s vital to understand these trends since they will help a business prepare for the AI revolution.

The trends you need to be keeping an eye on for 2022 are not new. But rather a continuation of the trends that have been buzzing in the AI world for a while now.

This is because the pandemic delayed most of the technological trends in 2020 and 2021.

AI is a hot topic, and it will only get hotter—especially in 2022!

Artificial Intelligence development will create a new business landscape in 2022.

Because AI is a burning topic these days, we will focus on five trends that are likely to come in 2022 in this article.

Computer Vision for Simplifying Image Processing

Computer vision has started making a significant effect on business sectors such as healthcare and medicine. This technology can help doctors diagnose patients with greater accuracy and ease. It also makes it easier for medical staff to remain up-to-date with the latest research and developments in their field.

Moreover, doctors can use specialized software that offers additional insight into a patient’s condition based on previous experiences. Computer vision has helped many people around the world regain lost sight or hearing. With advanced software and algorithms, researchers have developed devices that can read text or even recognize faces in images.

Computer vision helps to identify and process images easily and efficiently. It enables computer devices to learn from images,  videos, and other visual data without being explicitly programmed. Autonomous vehicles, robotics, and other machines can extract benefits from computer vision since it gives real-time data.

Empowered Use of Chatbots and Virtual Assistants

Chatbots aren’t new, but they continue to become more intelligent and useful. As more applications integrate chatbots, consumers will get used to communicating with them. Today, many chatbots don’t live up to whose? expectations because they can’t understand user intentions or context. This is slowly changing as chatbots get smarter with advanced machine learning algorithms and natural language processing (NLP). The next generation of chatbots will be more capable of understanding a user’s broader intentions and context. Chatbots will even be able to connect multiple user interactions together to understand intent and context better. This means that the second time you engage with a chatbot, it will already have some background knowledge about you and your intentions.

In the future, chatbots will become even more intelligent, providing real-time feedback to customers while analyzing customer data to provide agents with insights into customer behavior. By 2022, we predict that businesses will have fully embraced conversational AI, which will enable them to build sustained relationships with consumers.

Progression of Autonomous Vehicle Industry

We’re still a while away from being able to set a destination in our car, then kick back and watch Netflix until we reach our destination. But if you’re looking for some signs of progress as the age of autonomous vehicles unfolds, look no further than artificial intelligence! As the industry tries to develop self-driving technology that’s safe enough to put on the road, artificial intelligence makes it possible to perceive and react to whatever obstacle comes at the car  — pedestrians, other cars, bicyclists, animals, construction zones, road debris, etc.

In particular, deep learning will be vital in enabling vehicles to interpret their environment in real-time. Deep learning is a subset of AI where large volumes of data are fed through multiple layers of algorithms.

AI is already a crucial part of today’s cars, but this technology will become much more critical in the next few years. This is true for both self-driving cars and conventional vehicles. AI helps today’s cars with features like automatic emergency braking, which uses computer vision to identify obstacles and automatically bring a car to a stop if it detects an impending collision. These systems can also help the driver steer away from danger in many models. With AI-powered autonomous vehicles,   we can improve road safety,   reduce traffic congestion and vehicle emissions, and make transportation more affordable for everyone.

Improved Language Modeling

Language models have gotten a lot better over the last few years. Today, you can use off-the-shelf models to generate texts. These texts will sound similar to those written by a native English speaker. However, these models have trouble understanding context;  going ahead, we may see language models that handle edge cases more gracefully in the future. They could also incorporate more information about the world.

AI-generated text has been around for a while now. As AI gets better at this task, it will be used more frequently to create fake news and other fabricated content. This could have serious implications for society as it becomes more difficult to discern fact from fiction. This is just one of many potential side-effects that could occur due to advancements in natural language processing (NLP).

AI-Integrated Metaverse Solutions

Metaverse is a virtual space where people can meet and interact seamlessly. The gaming industry has already adopted it, with Fortnite and Minecraft being among the most popular metaverse games. However, the Metaverse won’t remain a game anymore. It will soon become an integral part of our lives as we adapt it in our workplaces, shops, and schools. The demand for AI in virtual spaces is already reaching new heights. It is easier for people to understand interactive data.

AI started to emerge in the Metaverse as a tool for creators and businesses. However,  we will see AI-powered solutions for the Metaverse in 2022.  AI solutions for the Metaverse will make it easier for creators to create content and push their creations to the limits. It will also help business owners to automate tasks or even develop their own avatar bots to assist customers.

Final Say…

This post is a projection of AI trends in the next few years. Our main goal was to predict some key areas of evolution and shed light on the mindset and approach that can help solve challenges in these spaces.

The trend of AI becoming more interactive will continue for the years to come. It will be used in more situations and across more industries. There will be a lot of new startups that come out with AI-based predictive modeling algorithms. And that’s precisely why we, at GeekyAnts- React native & Fintech app development company, are supporting this emerging technology. Let’s get together and step into the future of AI.

Get ahead of the curve! Smarter AI is on the way.

This article was written by Vivek Menon, an Artificial Intelligence Developer with working experience in Machine Learning, Deep Learning, and Computer Vision and was published on GeekyAnts Blog –

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