In the IT/ITES industry, machine learning is the most popular AI-powered solution (63% of the participants). This also reinforces the understanding that IT/ITES may potentially be the most disrupted sector by machine learning solutions, indicating that the sector may replace repetitive manual jobs.
The technology sector showed a relatively balanced focus on multiple AI-powered solutions. As this sector is at the forefront of AI research and commercial deployments, it is likely to cater to multiple client industries with a range of AI-powered solutions.
Banking, financial services and insurance (BFSI)
The banking, financial services and insurance (BFSI) industry considers robotics, along with machine learning and automated data analysts (44% of the participants for each), to have the highest impact on their business with use cases ranging from automation of processes, customer support, regulatory processes to other back office operations.
In the manufacturing sector, decision makers/influencers seem to lean towards a mix of machine learning solutions (50% of the participants), decision support systems, automated communications and automated research and information aggregation (40% of the participants each) in terms of how they perceive the above solutions to impact their business over the next few years. AI solutions, combined with other enabling fields such as industrial Internet of things (IIoT) devices and platforms, are expected to play a significant role in paving the way for smart manufacturing and Industry 4.0
Education and teaching
In the field of education and teaching, machine learning solutions (100% of the participants) and automated research and aggregation solutions (57% of the participants) seem to be the perceived high-impact applications of AI-powered solutions. This seems to be a potential opportunity for identifying use cases where machine learning and other AI-powered solutions can deliver the appropriate training and education to a vast majority of the populace.