Red PicoLibrary

Enterprise AI & Agents

Stop upgrading your LLM

Stop upgrading your LLM. If your enterprise AI agents are hallucinating, the problem isn't the model—it's your missing data context layer.

According to Gartner's CIO & Technology Executive Survey , 42% of enterprise organizations plan to deploy autonomous AI agents by the end of 2026. Moreover, annual AI budgets allocated specifically to agents are surging from 22% to 31%.

Yet, only 1 in 5 organizations report generating measurable business value from generative AI initiatives. Here is why the "model-first" approach is failing:

  • Models lack business domain context
  • Fragmented MDM breaks agent execution
  • Leading data architectures are decoupling the model layer from the context foundation—

Are you spending more budget on bigger models or better context infrastructure?

#EnterpriseAI #AIAgents #DataGovernance

🙏🏽Save this post
⭕Repost so a leader in your network sees this
🦘Follow Ash Srivastava for daily insights on Data and Al Governance.

😎Register for my Webinar: https://Inkd.in/gADTJ5mQ

First shared on LinkedIn.

Related

Go deeper: AI Audit Checklist: What Auditors Will Ask For | NIST AI RMF Explained: Govern, Map, Measure, Manage

Get the next one first

Weekly thinking on data and AI governance from Ash Srivastava.