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Over the past few weeks, I’ve been spending a lot of time reading articles by CEOs, technology leaders, and researchers shaping the future of enterprise AI. My goal isn’t simply to stay informed. It’s to understand where my own research, experiences, and observations intersect with the broader conversation. A reflection inspired by a recent article from the CEO of TigerGraph on enterprise identity and AI. Recently, I read an article by TigerGraph's CEO discussing how AI is re

In my last article, I explored an idea that has continued to stay with me: What if one of AI’s greatest contributions to the enterprise isn’t simply automation, but organizational memory? I started thinking about organizations differently. What if the challenge of organizational memory isn’t how much we can remember, but deciding what deserves to be remembered? Companies already generate extraordinary amounts of information. Emails, contracts, meetings, financial reports, pol

I’ve spent a lot of time lately thinking about memory. Not just my own memory, but the idea of organizational memory, which is how organizations determine what information matters, what deserves to be retained, how past decisions should influence future ones, and what happens when different perspectives of the same event don’t completely agree. A Reflection on Memory, Recovery, Growth, and Becoming I’ve been exploring these questions as part of some research I’m considering t