Ideas and conversations 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.
Watch the conversationExecutive Brief
My perspective on the role of a board in balancing innovation and risk, providing informed oversight, and supporting the growth long-term enterprise value.
Read the executive briefPost
Why productivity gains from AI do not automatically become cost savings—and why the greatest value often comes from expanding organizational capability.
ReadEssay
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.
ReadPost
Why AI is best evaluated within mature business processes that have defined workflows, established quality gates, measurable outcomes, and reliable performance baselines.
ReadEssay
Why quality is a critical hidden variable in AI value.
ReadPost
How AI is rewriting the economics of cyber offense—and creating new opportunities for secure-by-construction software and proactive defense.
ReadPost
An incremental, capability-centric approach to AI that builds from Analysis to Assistance to Augmentation—and, where appropriate, Autonomy.
ReadPost
How Analysis, Assistance, Augmentation, and selective Autonomy can create value in supplier onboarding while building trust and managing risk.
Read