"Evidence suggests that many business leaders struggle to prove that an investment in generative AI delivers measurable returns. More than 97% of organizations find it tough to demonstrate the business value of gen AI, according to a survey of 600 data leaders by Wakefield Research on behalf of technology specialist Informatica. Also: OpenAI's Altman calls AI sector 'bubbly,' but says we shouldn't worry - here's why However, measuring AI ROI doesn't have to be an intractable challenge."
"Gro Kamfjord, head of data at paint manufacturer Jotun, said her explorations into AI suggest that business leaders must have enough information to know when a project should be stopped or pursued. To boost growth across its regional offices, the company modernized its data infrastructure to the cloud via a partnership with Informatica and Snowflake. A new centralized data hub enables faster development, meaning teams can streamline their AI preparations."
Many organizations struggle to demonstrate measurable returns from investments in generative AI, with more than 97% reporting difficulty according to a survey of 600 data leaders. Business leaders can improve outcomes by focusing on clear, measurable business objectives, starting with small pilots that can be scaled or stopped, and modernizing data infrastructure to enable faster development and centralized data access. Storytelling tailored for boards helps communicate value. Tracking progress and using ballpark estimates of expected benefits enables decision-making about pursuing or halting projects. Partnerships with vendors like Informatica and Snowflake support cloud migrations and data hubs that streamline AI preparation.
Read at ZDNET
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