ODSC East 2024 is coming up quickly and it’s time to get excited. Unfortunately, we have not yet cracked the code for time travel, so we can’t share recordings from East 2024. We can, however, share a few of our most popular ODSC East 2023 sessions. Enjoy the videos here whenever you want!

Interactive Explainable AI

Meg Kurdziolek, PhD | Staff UX Researcher | Intrinsic.ai

Although current explainable AI techniques have made significant progress toward enabling end-users to understand the why behind a prediction, to effectively build trust with an AI system we need to take the next step and make XAI tools interactive. This session explores how people build trust and the interaction design techniques that can be applied to XAI services.

Reasoning in Natural Language

Dan Roth, PhD | Professor at University of Pennsylvania | VP/Distinguished Scientist at Amazon AWS

This session addresses a few of the challenges of making natural language understanding decisions that are dependent on multiple, interdependent, models. Also discussed is some of the current work in this area including applications, reasoning via decomposition, and navigating information pollution.

Applying Responsible AI with Open-Source Tools

David Talby, PhD | CTO | John Snow Labs

This session explores open-source tools for Responsible AI and some of their real-world applications with a focus on four common challenges: robustness, detection of and fixing labeling errors, bias, and data leakage. You’ll leave this session with an understanding of the available resources for building AI systems that work safely and correctly.

Containers + GPUs In Depth

Emily Curtin | Staff MLOps Engineer | Intuit Mailchimp

This talk is a highly technical walkthrough of the lower-level system libraries involved in GPU computing. By the end you will have covered:

  • An overview of the call stack from container, orchestration framework, OS, and all the way down to real GPU hardware
  • How ML Eng at Mailchimp provides GPU-compatible dev environments for many different projects and data scientists
  • An experienced take on how to balance data scientist’s human needs against heavy system optimization

Winning The Room: Creating And Delivering An Effective Data-Driven Presentation

Bill Franks | Director of the Center for Statistics and Analytical Research | Kennesaw State University

Explore best practices and concrete strategies for creating and delivering a data-driven presentation to a non-technical audience in this talk. You’ll learn how to maximize comprehensibility while maintaining accuracy and audience engagement.

The 10 Ways Machine Learning Systems Can Fail and How to Avoid Them

Bhaktipriya Radharapu | ML Tech Lead, Responsible AI | Google

This ODSC East virtual session looked at different ways in which Machine Learning systems can be compromised, resulting in bias, security concerns, and inaccurate predictions. Some of the ways addressed include concept drift, model inversion attacks, and data poisoning attacks. Lastly, this session explored how to create systems that can withstand these issues.

What’s next?

You can check these sessions out here. And, if you are looking for even more hands-on training sessions, expert-led workshops, and talks, join us at ODSC East from April 23rd to 25th. Register now to get 40% off any in-person or virtual pass. See you there!