AI Engineers Track Recordings Now Live!

Recordings of AI Engineers track sessions are now available for viewing!

This track was hosted in Cinema 2 at the Carolina Theatre and was incredibly popular on Tuesday, March 18. The room was consistently at capacity with standing-room only crowds gathered in front, out the door, and even on the stage itself.

All talks are listed below. Watch them again, or for the first time!

Track description:
Designed for data scientists and machine learning professionals, this track covers the technical aspects of training, fine-tuning, and optimizing AI models. Attendees will gain hands-on experience with advanced algorithms, data processing methods, and techniques to enhance the performance of AI systems.

The Track Playlist

See all sessions together in one place

Scaling Success: Transforming PoC into Large-Scale Impact through Iteration

Dhivya Nagasubramanian, U.S. Bank

Accelerating GenAI Business Value

Adam Sullivan. LabCorp 

Let’s Create a GitHub Copilot Extension!

Nick Taylor, Pomerium

Sneaky Ways to Integrate GenAI for Real-World Impact

Ben Ilegbodu, Netflix

Scaling Large Models with Model & Data Parallelism: Techniques, Tradeoffs, and Best Practices

Shashank Kapadia, Walmart

Let’s Talk About LLM Evaluations

John Willis, AI CIO

Gen AI: AI Agents – Making LLMs work together in an organized way

Brent Laster, Tech Skills Transformations