Artificial Intelligence and its subset Machine Learning are two technologies that are poised to change our lives at a much deeper level than we can imagine currently. According to Sundar Pichai, the CEO of Google, AI will transform how we lead our lives and revamp many industries, including healthcare, education, and manufacturing. And considering how AI and ML are being used to introduce revolutionary changes in the field of medicine, space exploration, etc., the probability of AI and ML helping humanity advance as a species is not far-fetched. [1]

Figure 1. Trends on Artificial Intelligence in 2022

Figure 1 shows the goal of AI adoption is to increase the effectiveness of operations or the efficiency of operations. Here are some quick insights at the leading Artificial Intelligence AI Trends in 2022. [2]

ROI Driven AI implementation: In 2022, sectors will encourage collaboration between business and IT teams, which might aid organisations in determining the business results of AI deployments ahead of time and ensuring automated maintenance.

AI in Metaverse: The next phase in AI adoption will be the creation of a digital ecosystem in which different programmes and websites can interact and collaborate. 2022 will be critical for unifying the digital world, with firms like Facebook trying to establish a unified digital experience for users.

A data fabric: A data fabric is a network of interconnected data products that are tied to business goals and KPIs and may be utilised to give critical insights throughout a company. This industry is expected to grow by more than 25% by 2025, according to MarketWatch, and will aid in enhancing the return on technology investments and cutting operational costs. [3]

Low/No code AI: One of the major challenges that organizations are facing today is the dearth of skilled AI engineers, who can develop the required tools and algorithms. With the advent of no-code or low code solutions, this challenge can be addressed by providing simple and intuitive interfaces, that can be used to create complex systems on Artificial Intelligence, theoretically.

Efficient language modelling: Another area where we can see a significant surge in the usage of machines is language modeling. What it means is the use of machines to communicate with humans in a language that humans can understand. We are also looking at converting human languages into codes to execute and run applications. [4]

AI and ML with the Internet of Things (IoT): Artificial intelligence and machine learning are being used to make IoT devices and services smarter and more secure at an increasing rate. According to Gartner, AI and machine learning will be used in over 80% of IoT activities in enterprises by 2022. [3]

References:

1. https://www.geeksforgeeks.org/top-7-artificial-intelligence-and-machine-learning-trends-for-2022/
2. https://mobilecoderz.com/blog/top-7-artificial-intelligence-trends/
3. https://timesofindia.indiatimes.com/blogs/voices/top-ai-trends-to-expect-in-2022/
4. https://timesofindia.indiatimes.com/blogs/voices/top-ai-trends-to-expect-in-2022/

Cite this article:

Thanusri swetha J (2022), Trends on Artificial Intelligence in 2022, Anatechmaz, p.p 85