Announcing ODSC West 2024 and the New AI for Robotics Track

ODSC - Open Data Science
4 min readMay 24, 2024

We are thrilled to announce that ODSC West will return to the heart of the AI boom this fall. Join us in San Francisco October 29th-31st for three days of hands-on training sessions, workshops, tutorials, networking, and more.

We’re happy to announce ODSC West 2024, coming to San Francisco this October 29th-31st! Learn more about what to expect from the event here, including info on our first-ever AI for Robotics track.

West 2024’s 300 hours of content will feature 250+ of the best and brightest minds in data science and AI leading hands-on training sessions, workshops, and talks. These sessions will run the gambit from deep dives into core data science skills and techniques to nuanced explorations of cutting-edge AI developments.

We’re hard at work on this year’s lineup, in the meantime, check out some of the highlights from last year’s event. You can even watch a number of the virtual sessions from West last year here. You can also read our event recap of last year’s conference here.

Popular in-person sessions:

  • MLOps: Monitoring and Managing Drift: Oliver Zeigermann | Machine Learning Architect
  • ODSC Keynote: Human-Centered AI: Peter Norvig, PhD | Engineering Director, Education Fellow | Google, Stanford Institute for Human-Centered Artificial Intelligence (HAI)
  • The Cost of AI Compute and Why AI Clouds Will Look Different Than Traditional Clouds: Vipul Ved Prakash | CEO | Together AI
  • Idiomatic Pandas: Matt Harrison | Python & Data Science Corporate Trainer, Consultant | MetaSnake
  • Bridging the Gap: Light Code Solutions to Uniting Social Science and Modern Knowledge Graphs: Alison Cossette | Developer Advocate — Data Science | Neo4j
  • Stable Diffusion: A New Frontier for Text-to-Image Paradigm: Sandeep Singh | Head of Applied AI/Computer Vision |
  • Unlocking the Power of Generative AI for Digital Mental Health & Wellness: Enhancing Empathy, Measuring Outcomes, and Safeguarding Against Suicide Risk: Kirstin Aschbacher, PhD | CEO | Health and Wellness Consulting
  • Running Data Quality Checks in Your Data Pipelines: Sandy Ryza | Lead Engineer on the Dagster Project | Dagster Labs
  • Graphs: The Next Frontier of GenAI Explainability: Amy Hodler | Founder, Consultant | and Michelle Yi | Board Member | Women in Data
  • Evaluation Techniques for Large Language Models: Rajiv Shah, PhD | Machine Learning Engineer | Hugging Face

Popular virtual sessions:

  • Deploying Trustworthy Generative AI: Krishnaram Kenthapadi | Chief AI Officer & Chief Scientist | Fiddler AI
  • The AI Paradigm Shift: Under the Hood of a Large Language Models: Valentina Alto | Azure Specialist — Data and Artificial Intelligence | Microsoft
  • Causal AI: from Data to Action: Dr. Andre Franca | CTO | connectedFlow
  • From AI to GX: The Quantum Leap in Algorithmic Evolution: Jepson Taylor | Chief AI Strategist | Dataiku
  • Generative AI, Autonomous AI Agents, and AGI — How new Advancements in AI will Improve the Products we Build: Martin Musiol | Co-Founder and Instructor, Principal Data Science Manager | Generative, Infosys Consulting
  • Finetuning, Serving, and Evaluating LLMs in the Wild: Hao Zhang, PhD | Assistant Professor | VICUNA / UC San Diego
  • Representation Learning on Graphs and Networks: Dr. Petar Veličković | Staff Research Scientist. Affiliated Lecturer | DeepMind, University of Cambridge
  • A Semi-Supervised Anomaly Detection System Through Ensemble Stacking Algorithm: Chuying Ma | Senior Data Scientist | Walmart
  • Missing Data: A Synthetic Data Approach for Missing Data Imputation: Fabiana Clemente | Co-founder and CDO | YData
  • PyTorch 2.1 — New Developments: Supriya Rao | Engineering Manager | Meta

This year’s tracks will feature a wide range of essential topics, from machine learning and deep learning to generative AI, and from data engineering and MLOps to NLP and LLMs. We’re also excited to announce an all-new track, AI for Robotics, which will explore the ways AI has influenced and accelerated the development of robots.

Additionally, you’ll have the chance to hear from experts and practitioners about the tools and techniques defining the future of the industry. In past years we’ve welcomed:

  • Chelsea Finn, PhD, Assistant Professor, Stanford University
  • Nick Bostrom, PhD, Professor, Oxford University, Author of Superintelligence
  • Raluca Popa, PhD, Professor, UC Berkeley, Co-director of RISELab & SkyLab
  • Dr. Petar Veličković, Staff Research Scientist at Google DeepMind, Affiliated Lecturer at the University of Cambridge
  • Valentina Alto, Azure Specialist–Data and Artificial Intelligence at Microsoft,

Join us at the leading AI and data science training conference this October. But you’d better act fast, our first 100 passes and best price are almost gone!

Originally posted on

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