Running a first AI pilot requires careful use-case selection, realistic expectations, and measurable success criteria. As emphasized by Dr. Moria Levy, successful pilots focus on strong data availability, management support, and partial-win value- reducing risk while enabling learning, iteration, and scalable adoption. KM AI course. June 15th. Session 11. Today we meet Nicole Talbot from Levatas and learn about running the first AI pilot project in an organization. What is so important and...

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