The Enterprise Architecture Of The Future Will Be Heterogenous & Multi-Agent
By Barr Moses
Introducing the 4-Layer AI Stack—how enterprise teams build data + AI systems for scale.
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
Chief Data and AI Officers to Watch: Data & AI Leaders Driving Enterprise Transformation
By Barr Moses
The role of data and AI leaders has never been more critical. Today’s most innovative executives are proving that bridging core data reliability and governance with AI initiatives isn’t just good practice—it’s essential to driving ROI, delivering business impact, and showing measurable value to the bottom line. Once viewed as technical enablers, data and AI … Continued
The AI Corpus Problem—Why Data Quality is Moving Upstream
By Barr Moses
For decades we’ve been trained to look downstream toward our consumers; now it’s time to look up toward our data producers.
What is Data Observability? 5 Key Pillars To Know
By Barr Moses
Data observability improves data quality with features like data monitoring, lineage, automated root cause analysis, and data health insights to detect, resolve, and prevent data anomalies.
The Data Engineer’s Guide To Root Cause Analysis for Data Quality Issues
By Barr Moses
Introducing a five-step engineering root cause analysis approach used by some of the best data engineering and data science teams for data quality issues.
What is Data Reliability and How do I Make my Data Reliable?
By Barr Moses
And how to use it to start trusting your data.
Why CDAIOs Are Losing Sleep—Top 3 Priorities for 2025
By Barr Moses
The data lake is a swamp! We’re out of tokens! The agents are hallucinating! Across enterprise organizations, data + AI leaders have found themselves center-stage for a generational leap in technology. And with that new-found spotlight comes the privilege of experiencing everything that’s going right with those data + AI initiatives…and everything that’s going wrong. … Continued