• Collaboration in AI and Cloud is more effective
  • AI solutions for IT
  • AIOps are becoming more popular
  • AI will assist in the structuring of data
  • Talent in artificial intelligence will continue to be scarce
  • AI is being adopted in large numbers by the IT industry
  • AI Ethics is the main focus
  • Augmented processes are becoming more popular
  • Artificial Intelligence will be more understandable
  • Voice and language-driven intelligence

AI adoption is limited to improving the efficiency or effectiveness of operations. It can also be used to enhance stakeholder experience. Let's take a look at some of the most anticipated trends for 2022.

1. Collaboration in AI and Cloud is more effective


Rico Burnett, director of client innovation at Exigent says Artificial Intelligence is going to play a major role in the widespread adoption of Cloud Solutions 2022. It will be possible to monitor cloud resources and charge the amount of data available by using artificial intelligence.

2. AI solutions for IT


In 2022, the number of AI solutions for IT will rise. Simion from Capgemini predicts that AI solutions that can automatically detect and correct small problems or malfunctions in IT will increase in the coming years. This will allow teams to focus on more complex projects while reducing downtime.


The complexity of IT systems has increased over the past few years. Forrester recently stated that vendors want platform solutions that include more than one monitoring discipline, such as infrastructure, application, and networking. AIOps solutions can help IT operations and other teams improve their decision-making, key processes, and tasks. They also allow for better analysis of the large volumes of data that is coming to them. Forrester advised IT leaders to search for AIOps providers that will enable cross-team collaboration via end-to-end digital experiences and data correlation.

4. AI will assist in the structuring of data


Future data will be more structured using natural language processes and machine-learning processes. These technologies will be used by organizations to create data that RPA (or robotic process automation) can use to automate transactional activity within an organization. RPA is one of the fastest-growing areas of the software industry. It can only work with structured data. AI makes it possible to convert unstructured data into structured data that can be used to produce a specific output.

Our learners also read- A List of Artificial Intelligence (AI) Tools for Personal Use


5. Talent in Artificial Intelligence will continue to be scarce


In 2022, artificial intelligence adoption will be hampered by a shortage of talent. Associations have at long last understood the capability of AI ability. The artificial intelligence trends in business are changing rapidly. There has been a long-standing shortage of AI talent. This gap must be addressed and artificial intelligence can be taught to a wider audience. In 2022, it is crucial to ensure that artificial intelligence is available to a wider range of users to allow them to concentrate on technology, learning strategies, or supporting a shift in the work environment. 

6. AI is being adopted in large numbers by the IT industry


The adoption of AI in the IT industry has been growing steadily. Simion believes that AI will be used in large-scale production by organizations. An organization can see real-time ROI with artificial intelligence. Organizations will see the results of their hard work. 

7. AI Ethics is the main focus


Natalie Cartwright is the co-founder of Finn AI and its COO. She predicts that organizations will be able to offer expertise in how to use artificial intelligence trends in business against major global issues, encourage innovation and economic growth, as well as ensure diversity and inclusion. Transparency of data and algorithm fairness will be key issues as AI ethics becomes more important for organizations.

8. Augmented processes are becoming more popular


Artificial intelligence and data science trends 2022 will be part of a larger picture in terms of innovation and automation. Data ecosystems can be scaled, are flexible, and provide data at the right time from heterogeneous sources. It is important to create a foundation for innovation and adaptability. Ana Maloberti from Globant is a big-data engineer who will help companies optimize their augmented business processes and development processes. Artificial Intelligence can optimize software development processes, and allow for greater collective intelligence and better collaboration. To move beyond the experimental stage to a sustainable delivery model, we must encourage a data-driven culture. This is the future trend of artificial intelligence.

9. Artificial Intelligence will be more understandable


Dave Lucas, senior director of product at Tealium's customer data hub, stated that there will be more emphasis on explaining. Trust in AI will become more important as data regulations increase. It is important to clearly explain and understand how each character contributes to the final prediction or result of the machine-learning model.

10. Voice and language-driven intelligence


The increase in remote work has created a huge opportunity for NLP and ASR (automated voice recognition) adoption, especially in customer service centers. According to Butterfield of ISG, less than 5% are routinely screened for quality feedback. Artificial intelligence can be used by organizations to perform routine quality checks on customer understanding, intent, and compliance.

Final Thoughts 


By now, you must be well aware of the top powerful AI trends for 2022. If you are persuaded to learn more about AI and data science trends 2022, you can check out the course Advanced Certification in Applied Data Science, Machine Learning & IoT By E&ICT Academy, IIT Guwahati. There you will get deep insights from the industry experts that can help you understand AI and Data Science in a simplified manner.