Why Gartner and MIT say 75–95% of AI projects fail to show real value?

Because the data house has no foundation.

In this episode of Robots and Red Tape, Nick Schutt sits down with Gurpinder Dhillon, Head of Data & AI Ecosystem at Senzing, PhD in data quality impact, and author of the new book “Think Data, Act AI, " to go deep on critical world of data infrastructure. Nick and Gurpinder break down: The real difference between data infrastructure, architecture, and ecosystem The 4 non-negotiable pillars every org needs (quality, integration, governance, context) How entity resolution prevents million-dollar marketing disasters and fraud

Why “garbage in, garbage out” has become “garbage in, garbage multiplied” with GenAI The red tape Gurpinder would cut tomorrow to finally let teams innovate If you’re tired of AI hype and wa ...