How to stop AI costs from soaring [Video]

Research from analyst Gartner has reported that 30% of generative artificial intelligence (GenAI) projects are expected to be abandoned after the proof-of-concept phase by the end of 2025, largely due to challenges such as poor data quality, escalating costs and unclear business value.

Gartner found that earlier adopters across industries and business processes are reporting a range of business improvements that vary by use case, job type and skill level of the worker. According to the survey, respondents reported 15.8% revenue increase, 15.2% cost savings and 22.6% productivity improvement on average. 

Looking at generating value from AI, Eyad Tachwali, a senior director at Gartner, said: “When it comes to how to think about the value that can be generated with generative AI, the first thing that we have to do is unpack the different ways that we can use AI. One part is what we call everyday AI, which is basically using AI to help you do your existing tasks better, faster, …