Data sovereignty carries a geography problem in its name, but the more precise definition is about verifiable control: over where data is processed,...
Read More
Insights
How to Evaluate an Enterprise AI Platform: 8 Questions Before You Buy
An enterprise AI platform can produce an impressive demonstration and still fail the...
Read More
Insights
AI Agents Run on Context. Do You Need a Knowledge Graph?
Enterprise AI discussions once centered on model selection, prompt design, and access to...
Read More
Insights
As AI Models Converge, Context Becomes the Competitive Edge
Because enterprise companies can now license comparable frontier AI models and route them...
Read More
Insights
Rethinking Enterprise AI Time to Value
How long should it take to get value from enterprise AI? Most evaluations answer with an...
Read More
Insights
Data Sovereignty is About Control, Not Geography
Data sovereignty carries a geography problem in its name, but the more precise definition...
Read More
Insights
Your Data Is More AI-Ready Than You Think
Many enterprises are hesitant about where to begin with AI, and the hesitation often...
Read More
Insights
Enterprise AI Vendor Accountability in the Agentic Era
For most of the history of enterprise software, the buying motion was well understood....
Read More
Insights
Living Ontologies: How AI Learns Your Business Logic
While model performance is a factor, enterprise AI projects often struggle because the...
Read More
Insights
Context, Security, and Collaboration: The Enterprise AI Formula
I’ve had the privilege of talking to a lot of people about enterprise AI, the use of...
Read More
Insights
What’s New in Kaizen: Enterprise Capabilities for Enterprise AI
Enterprise AI is reaching a critical inflection point where organizations, having...
