Ideas, conversations, and presentations on enterprise AI strategy, governance, human-centered transformation, and the practical realities of deploying AI at scale.
AWS Executive Insights
A conversation with AWS Executive Strategist Tom Soderstrom about enterprise AI strategy, governance, organizational transformation, and lessons learned while building and leading AI capabilities at scale.
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A perspective on the role of boards in balancing innovation and risk, providing informed oversight, and supporting long-term organizational value.
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Why productivity gains from AI do not automatically become cost savings—and why the greatest value often comes from expanding organizational capability.
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Organizations frequently invest significant effort trying to precisely measure the ROI of broad Enterprise GenAI adoption. In many cases, the measurement problem is larger than the business problem.
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Why AI is best evaluated within mature business processes that have defined workflows, established quality gates, measurable outcomes, and reliable performance baselines.
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Why organizations need to move beyond isolated AI tools and integrate AI into operational workflows, enterprise data, and governance systems.
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How autonomous agents and increasingly capable foundation models change the requirements for enterprise AI governance, assurance, and accountability.
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