Michael Schneider - Stop Digging: How AI Turns Data into Gold

Michael Schneider - Stop Digging: How AI Turns Data into Gold

In this eye-opening episode, Michael Schneider, Head of Sales at Claritype, reveals how organizations are unlocking "magical insights" from their data—and why most companies struggle to access this intelligence. Drawing from his background in AI and experiences with former Palantir team members, Michael explains how traditional data preparation has been a months-long manual process that's now being revolutionized through artificial intelligence.

What You'll Learn:

• Why most AI transformation projects get stuck at the data preparation stage—and how to overcome this critical bottleneck
• The three-step process for streamlining your data to extract meaningful insights quickly
• How a single automotive company saved five data scientists and a full year of work through AI-powered data integration
• Why mergers and acquisitions create massive data challenges that most companies aren't prepared to handle

Key Insights:

Michael shares fascinating real-world examples, including how his team helped an Italian transportation authority integrate data from 20 different regional systems and enabled a dental service organization to gain unified visibility across 27 practices within days instead of months. He challenges the common misconception that data preparation must be slow and expensive, demonstrating how Claritype's AI approach can transform months of manual effort into minutes of automated processing.

"JP Morgan could tell that out of a population of 300 million Americans, that guy is a drug dealer, and that guy's a terrorist, and that guy's going to commit fraud before he does, and be right 99.99% of the time... but it would take teams of very talented people literally months of manual effort to get the data to a state where they could get those kinds of insights from it." - Michael Schneider

This episode is essential listening for any business leader struggling with data silos, especially those managing multiple systems or integrating newly acquired companies. Michael's practical advice on centralizing your data first before attempting analysis provides a clear pathway for organizations ready to stop "digging manually for their data gold."