Here’s the bottom line: AI won’t be won by who moves fastest.
It’ll be won by who governs best. If your data isn’t structured, contextualized, and controlled, scaling AI will only amplify problems. I break this down in detail in my latest video with Collibra. Check out the
ENTERPRISE AI
-
AI Success Depends on Data Governance, Not Speed
By
–
-
Data Quality and Metadata: The Real AI Bottleneck
By
–
The real bottleneck isn’t models. It’s unstructured data. I saw a side-by-side demo that made this obvious: → Raw data environment
• lower accuracy
• higher risk
• inefficient outputs → Metadata-enriched environment
• better decisions
• faster results
• measurable -
Speed Over Governance: AI’s Hidden Risk Foundation
By
–
The biggest misconception? Speed = progress. In reality: → Teams are innovating faster than they can govern
→ Outputs are inconsistent and hard to trust
→ Risk is increasing quietly in the background Without a solid data foundation, AI lacks context. And without context, -
Scaling AI Without Control Creates Business Value Gap
By
–
Everyone thinks they’re scaling AI. Most are just scaling chaos. What I’m seeing, including in conversations with @collibra
, is a dangerous illusion → faster experimentation
→ more pilots
→ zero control The gap between AI ambition and actual business value is widening. -
Building Speed and Trust in AI Governance Together
By
–
Speed + trust in AI shouldn’t be a tradeoff. Reggie Townsend, SAS VP of AI Governance, Data Ethics and Social Impact shows how organizations make both happen. See him on the #SASInnovate mainstage April 28. Free digital pass available: http://
2.sas.com/6019BBKfND #TrustworthyAI -
Understanding AI Service Usage and Payment Complexity
By
–
im not compromised (except from myself and my agents) just stupidly fucked how borked and hard it is to understand your own usage and payments.
-
Digital twins and in silico trials revolutionize drug development
By
–
How digital twins and in silico clinical trials can change the future of drug development https://
nature.com/articles/s4159
1-026-04344-3
… -
Enterprise AI Shifts From Prompting to Autonomous Agents
By
–
👥 For a while, prompt engineering was treated as the must-have AI skill. Enterprise AI is moving into agents, autonomous systems that chain tasks, make decisions, and act across real workflows.
— Bernard Marr (@BernardMarr) 27 avril 2026
In this video, I explain:
✅ Why prompting matters less as AI becomes agent-driven… pic.twitter.com/vNo9n1YoE5For a while, prompt engineering was treated as the must-have AI skill. Enterprise AI is moving into agents, autonomous systems that chain tasks, make decisions, and act across real workflows. In this video, I explain: Why prompting matters less as AI becomes agent-driven
-
Poor Data Foundations Undermine AI Success
By
–
How poor #Data foundations can undermine #AI success
by Joanne Carew @CIOonline Learn more: https://
bit.ly/4cGbKSG #MachineLearning #ArtificialIntelligence #DeepLearning #ML