Insights
Over the past two decades, I've had the opportunity to help organizations navigate data, analytics, governance and, more recently, Responsible AI. These reflections are shaped by real projects, leadership experiences and the lessons that stay with you long after the engagement ends.
Leadership Reflections
Short, thought-provoking articles about leadership, culture, governance and the human side of organizational change.
Organizations Hire Skills. They Gain Enthusiasm.
One of the things I've learned over the past two decades is that organizations often believe they're hiring skills alone. I don't think they are. I believe they're also hiring enthusiasm.
Featured Series
Operationalizing Responsible AI
A three-part series exploring how organizations can build Responsible AI by evolving the governance capabilities they already have.
Responsible AI isn't about creating an entirely new governance ecosystem. It's about evolving the governance capabilities organizations already have to support trustworthy AI.
Drawing on practical experience across governance, risk, data and AI, this series explores how organizations can move beyond principles and begin operationalizing Responsible AI in a pragmatic, sustainable way.
The Foundations Are Already There
Responsible AI doesn't begin with creating another governance framework. It begins by recognizing the governance capabilities your organization already has and building on them.
Designing a Responsible AI Operating Model
Explore how business, technology and governance capabilities work together to create an operating model that enables Responsible AI at enterprise scale.
Governing AI Systems, Not Just Models
Responsible AI starts long before a model is built. Learn why organizations should govern AI-enabled business capabilities, not just algorithms.