When AI Gets Pricing Right: Building Trust Through Data Integrity
In this episode of On the Move, Jen sits down with Carly Gunby, Vice President of Revenue at Transfix and a finalist in TMSA’s AI & Technology Showdown at ELEVATE. With more than a decade of experience in transportation and logistics, Carly offers a preview of how privacy-preserving, custom AI cost models are helping freight brokerages price more accurately and operate more efficiently. Rather than relying on aggregated market data, her approach focuses on validating and training models using each broker’s own shipment history to address common distortions like seasonal bias, carrier skew, and volume imbalances. Carly shares insights into the business challenges this innovation solves and the impact it can have on margin performance and RFP efficiency, while saving the full workflow and demonstration for her live keynote at ELEVATE, offers a practical look at what’s really being said, and why it matters more than you think.

How Scale AI works

Exposing The Dark Side of America's AI Data Center Explosion | View From Above | Business Insider

The Insane Genius of a Formula 1 Gearbox

LIVE: Conan O’Brien speaks at Harvard graduation ceremony (full)

Better Carrier Relationships Through Marketing, Trust, and Visibility

Something is jamming GPS over Europe. Here's what we found

Wirtschaftsinformatik: Von der Uni zu PwC - Jobeinstieg als IT-Consultant! | alpha Uni

AI Agents, Clearly Explained

Is AI Hiding Its Full Power? With Geoffrey Hinton

Introducing the American AI Sovereign Wealth Fund Act

Building the PERFECT Linux PC with Linus Torvalds

2026 TMSA Purpose Award Winner - SMC3

Er trainiert KI: Projekte & Lohn eines Data Scientist am Fraunhofer-Institut | Lohnt sich das? | BR

Conan O’Brien Delivers the Commencement Address | Harvard Commencement 2026

How Cargo Theft Impacts Trust, Revenue, and Customer Relationships

What Canadian Soldiers Did When a German Major Refused to Surrender

You’re not behind (yet): How to learn AI in 18 minutes

Andrew Ng: Building Faster with AI

Why is Everyone So Wrong About AI Water Use??

