Newly released research published by Gartner® talks about how a large financial organization is using AI Model Operations as a key element of their AI initiatives. Titled “Case Study: AI Model Operations at Scale (Fidelity),” the research details steps taken by Fidelity for their AI programs and cites specific results.
“Organizations have been making large investments in AI, but in many cases they’ve struggled with organizational and operational challenges that limit their ability to derive full benefit from their initiatives,” said Stu Bailey, co-founder of ModelOp and a pioneer in ModelOps.” Bailey continued, “We believe this Case Study Report published by Gartner shows how a comprehensive Model Operations Framework, coupled with organizational alignment, has enabled Fidelity to deliver significant, tangible results and positioned them to scale and govern their AI programs and realize maximum value.”
ModelOps is an enterprise capability that enables organizations to see, govern and scale their AI initiatives. ModelOps addresses the unique requirements and challenges associated with AI models, which are different in many key respects from conventional software. Implementing ModelOps requires alignment across an organization, including business units, data teams, IT, compliance and of course the data scientists that create AI models. An appropriately designed ModelOps Framework is independent of any data science tool or execution environment, which provides data scientists with maximum flexibility to innovate and turn their organization’s data into value.
The Case Study Report is available from Gartner and also here.
Gartner, ” Case Study: AI Model Operations at Scale (Fidelity)”, By Data and Analytics Practitioner Research Team, 27 October 2022
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