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Designing AI Programs for Success - Part 2: Readiness
AI projects (or at least the successful ones) require that certain supporting data and processes. Those capabilities are necessary to provide inputs for the system and apply the outputs to solve problems. Many organizations are “getting ahead of their skis” by not clearly identifying or fully understanding the dependencies. This session will review ways of identifying who needs to be on the bus and factors that influence how well an AI pilot can be operationalized and scaled. Building the right team is as important as selecting problems to address, software packages and platforms. However, AI talent is in high demand and costly. Where does it make sense to outsource and when is it not a good idea to do so?
• Why you can’t outsource everything
• The underlying processes needed to support an AI initiatives
• Focusing on the foundation (processes, metrics, outcomes)
• Finding baselines and measuring impact

Apr 1, 2020 12:00 PM in Eastern Time (US and Canada)

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