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Value Engineering Competency understands how organizations can leverage data (Big Data) and advanced analytics (AI / ML) to create value.
AI possesses the potential to drive systematic improvements across a broad range of industries and business functions. The number of business and operational use cases around which organizations can apply AI to create new sources of value is almost unbounded, and that’s the problem.Organizations don’t fail because of a lack of use cases; they fail because they have too many.While many universities and organizations are focused on training more data engineers, data scientists, and ML engineers, we need more folks who can drive organizational alignment and consensus on identifying, validating, valuing, and prioritizing the business and operational use cases that deliver meaningful, relevant, ethical outcomes.We need more business professionals who can translate...
