We couldn’t be more excited to announce that ODSC Europe will return to the heart of West London, at the Novotel West from September 5th-6th. For two days, we’ll gather some of the best and brightest minds in data science and AI for hands-on training sessions, workshops, tutorials, and more.

Europe 2024’s 200 hours of content will comprise 130 hybrid sessions, 40 of which will be hands-on training sessions and workshops, led by 90 expert speakers and thought leaders. It will consist of deep dives into core data science skills and techniques and 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. 

Popular in-person sessions:

  • Data Communication in the Age of AI: Alan Rutter | Founder | Fire Plus Algebra
  • Autoencoders – a Magical Approach to Unsupervised Machine Learning: Oliver Zeigermann | Blue Collar ML Architect | Freelancer
  • Fast Option Pricing Using Deep Learning Methods: Chakri Cherukuri | Senior Quantitative Researcher | Bloomberg LP
  • Safety and Robustness for Deep Learning with Provable Guarantees: Marta Kwiatkowska, PhD | Professor of Computing Systems, Fellow | Trinity College, University of Oxford
  • Generative AI for the Enterprise: Jake Bengtson | Principal Technical Evangelist | Cloudera
  • Beyond Correlation: Unraveling Causality with Machine Learning: Bernardo Caldas | Director of Data | Mollie
  • Upgrading Your Engine Without Stopping the Car: How the FT is Improving our ML Deployment Practice with Minimum Disruption: Leanne Fitzpatrick | Director of Data Science | Financial Times
  • MLOps 2.0 – From Research Centric to Production First: Yuval Fernbach | Co-founder & CTO | Qwak
  • How to bring your data to LLMs?: Timo Möller  | Co-Founder | deepset
  • From Correlation to Causality in AI: Dr. Andre Franca | VP of Research and Development | causaLens

Popular virtual sessions:

  • AI and Bias: How to Detect It and How to Prevent It: Sandra Wachter, PhD | Professor, Technology and Regulation | Oxford Internet Institute, University of Oxford
  • Probabilistic Machine Learning for Finance and Investing: Deepak Kanungo | Founder and CEO, Advisory Board Member | Hedged Capital LLC, AIKON
  • Why GPU Clusters Don’t Need to Go Brrr? Leverage Compound Sparsity to Achieve the Fastest Inference Performance on CPUs: Damian Bogunowicz | Neural Magic and Konstantin Gulin | Machine Learning Engineer | Neural Magic
  • Apache Kafka for Real-Time Machine Learning Without a Data Lake: Kai Waehner | Global Field CTO | Author, International Speaker
  • Time Series Forecasting for Managers – All Forecasts Are Wrong but Some Are Useful: Tanvir Ahmed Shaikh | Data Strategist (Director) | Genentech, Inc
  • Getting Up to Speed on Real-Time Machine Learning: Dillon Bostwick | Senior Solutions Architect | Databricks and Avinash Sooriyarachchi | Senior Enterprise Solutions Architect | Databricks 
  • Deep Learning and Comparisons between Large Language Models: Hossam Amer, PhD | Applied Scientist | Microsoft

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. 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:

  • Manuela Veloso, PhD, Head of AI Research at JP Morgan Chase AI Research and Professor at Carnegie Mellon University
  • Michael Wooldridge, PhD, Professor, Head of Computer Science at the University of Oxford
  • Neil Lawrence, PhD, DeepMind Professor of Machine Learning at the University of Cambridge
  • Mihaela van der Schaar, PhD, Professor of Machine Learning and Artificial Intelligence at the University of Cambridge
  • Gaël Varoquaux, PhD, Research Director for scikit-learn and Director for Inria

But don’t take our word for it, watch these highlights from ODSC Europe 2023 and read our in-person recap from ODSC Europe 2023 here.

Join us at the premiere data science and AI conference this 5th-6th September. But you’d better act fast, our first 50 passes and best price are almost gone!