Generative AI Business Case Challenges
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Generative AI Business Case Challenges
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After all the hype of 2023, executives who funded several GenAI initiatives are impatient to see returns on investments, but organizations are struggling to prove and realize value. As the scope, scale and price of initiatives grow, aligning the economics (cost, risk and value) of GenAI is a top priority.
Gartner predicts:
At least 30% of GenAI projects will be abandoned after proof of concept by the end of 2025, due to poor data quality, inadequate risk controls, escalating costs or unclear business value.
In this podcast, expert analysts discuss the “Peculiarly Challenging Business Case for GenAI,” for which the Gartner team focuses on measuring value and quantifying return on investment.
About the Guest:
Host Frances Karamouzis is joined by expert analyst Nate Suda. Nate covers digital strategy, execution and value creation with a focus on maximizing stakeholder value. Nate is in Gartner’s CIO practice on the FEVR team (finance, economics, value and risk team).