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Agentic Autonomy is a Trust Score

By Barr Moses

The binary trap Enterprise AI deployments today typically face significant, yet competing, pressures from two directions. On the one hand, business stakeholders want agents to move fast and act independently, as the whole point of agentification is to remove human bottlenecks from workflows that used to require constant attention. AI and platform teams, meanwhile, need … Continued

10 Data + AI Predictions for 2026

By Barr Moses

I think most enterprise data and AI teams can agree, 2025 didn’t quite go to plan.  Deploying AI to production was difficult. The P&L impact was low. (“disaster” might be more accurate). Add to the mix a lack of AI literacy at the executive-level and slowing performance improvements at the model level, and 2025 ended … Continued

In the AI Kingdom, Experience is King

By Barr Moses

Just in case you’ve been living under a rock, the emergence of AI as a technological super-serum is upending the enterprise economy.  The announcement of OpenAI’s AgentKit provided a poignant example of the volatility that AI is creating in the development world. Almost as soon as the announcement came down about OpenAI’s latest and greatest, … Continued

10 Data + AI Trends to Watch In Fall 2025

By Barr Moses

As we approach the final quarter of 2025, it’s time to step back and examine the trends shaping the face of data and AI for 2026.  While the headlines might focus on the latest model releases or benchmark wars, it’s clear to anyone actually using these technologies that the latest headlines are far from the … Continued