75% of tech executives want to use GenAI before the end of the year

According to the survey, company executives ranked technological disruption as the most important external issue affecting their companies over the next two years.

This highlights the competition for AI supremacy as a means of boosting productivity and cutting expenses.

According to a survey by Forrester Consulting on Experian, 75% of IT executives are investigating the use of future of Generative AI in business becomes more and more prominent in business.

According to the survey, company executives ranked technological disruption as the most important external issue affecting their companies over the next two years. This highlights the competition for AI supremacy as a means of boosting productivity and cutting expenses.

75% of questioned participants feel that the competitive edge in their business will be contingent on who can utilize the best use of AI trends in technology leadership.

According to the survey, a similar proportion of top executives believe that Generative AI (GenAI) will greatly enhance their ability to identify risk.

In ten nations in the regions of Europe, Africa (EMEA) AND Middle East and Asia-Pacific (APAC), including Australia, Denmark, Germany, India, Italy, South Africa,  New Zealand, Norway, Spain, and the Netherlands, 1320 directors and C-suite executives in the financial services and telecommunications industries were polled for the study.

According to Manish Jain, Country Managing Director at Experian India, the research this year emphasizes two crucial elements. The first is the competition for artificial intelligence supremacy, which corporate executives see as essential to gaining a competitive edge in their industry. Second, given that many firms still struggle with the time and effort necessary to create and implement models, there is a strong focus on investing in analytics infrastructure and tools to better harness the potential of data. According to the research, companies are using cloud-based services more frequently in order to improve the connectivity of software, analytics, and data.