IT teams aren’t as ready to deploy AI as they think, but they can be



If perhaps you are unfamiliar with the Gartner Hype Cycle, artificial intelligence has been firmly planted in the “Peak of Inflated Expectations” phase for the past 24 months. In particular, the advent of ChatGPT back in 2022 cemented certain basic concepts and concerns connected to AI into place for employees at all levels across every type of organization. As an endless slew of headlines and subject lines alike focused on AI, the door was summarily kicked open for AI vendors to lean into inflated expectations. Promises of innovation and impact were more important than results and that caught the eye of business leaders across the globe.

Now, ​​82% of senior decision-makers acknowledge significant pressure to adopt AI quickly, but only 23% have completed the development of their data foundation. Purchasing a shiny new AI tool is the easiest part of the process, while deployment is proving to be a major challenge. So, let’s look at some of the key ways IT teams can help their organization be ready for effective AI deployment in the year ahead.

Kevin Miller

Chief Technology Officer of IFS in North America.

Identifying needs and assessing value



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