About
I’m Matthew Davis, a Raleigh-based leader working across AI, data, analytics, and enterprise transformation.
My career has been shaped by a consistent pattern: step into ambiguity, break problems into something people can understand, and help teams move from ideas to execution. Sometimes that has meant leading platform transformation work. Sometimes it has meant building analytics capabilities, introducing AI into operational environments, or helping technical teams communicate more clearly across the business.
At IBM, I’ve led work spanning Salesforce transformation, entitlement automation, analytics products, AI enablement, and global team development. More recently, my focus has been on applied AI, data systems, and helping organizations use new tools in ways that are practical, defensible, and useful.
What I enjoy most is the point where strategy meets reality. Not slideware. Not vague innovation language. The real work of figuring out what matters, what is feasible, and how to move a team toward it.
A few things that shape how I work
- I like structure, but I’m not precious about process.
- I care about useful outcomes more than performative complexity.
- I believe technical work gets stronger when people can explain the story of the problem clearly.
- I’m especially interested in AI when it helps teams make better decisions, reduce friction, or create leverage in existing systems.
Current interests
Right now I’m especially interested in:
- applied AI in enterprise environments
- regulated and operational AI use cases
- data systems that support better decisions
- leadership at the intersection of technology, delivery, and transformation
Writing
I also publish through Where the Wild Agents Are on Substack, a name I plan to keep as part of the broader writing identity around AI, systems, and practical experimentation.