blogs

Why AI Governance Needs Data Provenance and How deltamap Helps

Sanjeev Aggarwal 15th May 2026 AI governance is often discussed through the lens of models: explainability, bias, human oversight, risk classification, and monitoring. Those things matter. But they are only part of the picture. The quality of an AI decision depends heavily on the data behind it. If an AI system uses stale, incomplete, duplicated, poorly governed, or wrongly classified data, the output may look confident while being fundamentally unreliable. In regulated envir

May 157 min read

Crossing the GenAI Divide with deltamap: Turning Data into Trusted Intelligence

Sanjeev Aggarwal October 2025 “Data you can trust. Governance you can automate. Visibility you’ve never had.” In 2025, MIT’s State of...

Oct 10, 20255 min read

Proactive Data Lineage for the AI-Native Era

Sanjeev Aggarwal, May 2025 “Lineage doesn’t just help you find the fault; it helps you restore trust.”— Travis Thompson, Modern Data 101,...

May 12, 20253 min read

How deltamap Augments Knowledge Graphs and Context-Aware Architectures

Sanjeev Aggarwal As enterprise data ecosystems become increasingly complex, organisations are embracing knowledge graphs to bring order,...

May 6, 20253 min read

Solving Today’s Data Challenges: Trust, Automation, and Visibility as Strategic Imperatives

Sanjeev Aggarwal April 2025 Data you can trust Governance you can automate Visibility you’ve never had A blueprint for modern data...

Apr 16, 20256 min read

Shifting Towards a Data Culture: AI-Ready Data

Sanjeev Aggarwal Data Architect In March 2024, Harvard Business Review published an article titled Is Your Company’s Data Ready for Gen...

Mar 4, 20255 min read

Unlocking the Value of Enterprise Data with Solace PubSub+ and deltamap

Mathew Hobbis Solace Chief Arhitect FSI In today’s data-rich world, effectively managing and optimising organisational data is crucial...

Feb 10, 20254 min read