The Skills We Keep
A reflection on how AI changes the practice that builds technical judgment, and why the skills worth keeping need to be protected deliberately.
Thoughts on software, AI, and building things that matter
A reflection on how AI changes the practice that builds technical judgment, and why the skills worth keeping need to be protected deliberately.
A packed Microsoft Reactor panel reinforced that AI in software engineering is evolving faster than our practices can fully settle, making practitioner-level conversations about judgment, discipline, and real-world adoption more important than any single product announcement.
In this podcast discussion, we explore how enterprise software must evolve to treat AI agents as first-class users, requiring structured interfaces, intentional design, and built-in governance alongside human workflows.
Great conversation at Microsoft’s Americas Enterprise Partner Accelerate on what it really takes to drive AI ROI. The organizations seeing results are focused less on technology choices and more on changing how people work with AI agents. Adoption, effectiveness, and trust matter more than demos.
Great conversation at Microsoft’s Americas Enterprise Partner Accelerate on what it really takes to drive AI ROI. The organizations seeing results are focused less on technology choices and more on changing how people work with AI agents. Adoption, effectiveness, and trust matter more than demos.
CNBC Technology Executive Council Summit: 'Reinvent the Enterprise'. An engaging day of conversations with technology leaders exploring how AI is reshaping business, creativity, and the workforce.
Engaging discussion ranging from the technical underpinnings of AI agents to how we should think about their role in the future of work.
This episode focused on what it really takes to move AI from pilots into production, with an emphasis on AI literacy, data quality, and disciplined execution. We discussed why metrics, guardrails, and thoughtful workflow design matter as much as the models themselves when operationalizing AI at scale.
Most modern, business-focused software systems rely on high-quality data to function effectively. As artificial intelligence continues to shape these systems that support knowledge work, the demand for high-quality, diverse, and reliable data has never been greater.
This talk focused on building practical AI literacy so leaders and knowledge workers can use generative AI effectively and responsibly. By demystifying how modern AI systems work, the session aimed to replace hype with confidence and readiness as AI becomes embedded in everyday workflows.
I recently had the opportunity to join a GovExec webinar focused on how generative AI can help government agencies meet rising public expectations for service quality, responsiveness, and trust.