Course curriculum
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1
ODSC East Keynotes
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Setting Up Text Processing Models for Success: Formal Representations versus Large Language Models by Carolyn Rosé, PhD
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Deep Reinforcement Learning in the Real World: From Chip Design to LLMs by Anna Goldie
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Social and Ethical Implications of Generative AI by Abeba Birhane
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2
ODSC Talks
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Trial, Error, Triumph: Lessons Learned using LLMs for Creating Machine Learning Training Data by Matt Dzugan
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What it Takes to Stabilize a GenAI-first, Modern Data Lake in a Big Company: Provision 20,000 Ephemeral Data Lakes Annually by Moses Lee
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End-to-End Speech Recognition: The Journey from Research to Production by Tara Sainath, PhD
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Data Automation with LLM by Rami Krispin
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Applying Responsible Generative AI in Healthcare by David Talby, PhD
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Shifting Gears to LLMOps_ Understanding the Challenges in MLOps for LLMs by Noel Konagai
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Navigating the Landscape of Responsible AI_ Principles, Practices, and Real-World Applications by Rajiv Avacharmal
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Cost Containment A Critical Piece of your Data Team's ROI by Lindsay Murphy
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Leveraging Predictive Models and Data Science to Optimize Information Retrieval Systems by Hareen Venigalla and Vidhya Suresh
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From Research to the Enterprise: Leveraging Large Language Models for Enhanced ETL, Analytics, and Deployment by Ines Chami
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Machine Learning Across Multiple Imaging and Biomarker Modalities in the UK Biobank Improves Genetic Discovery for Liver Fat Accumulation by Sumit Mukherjee
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How to Become a True Dataviz Pro by Nick Desbarats
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Optimizing Workplace with AI and Generative Bots by Aleksandra Przegalinska and Tamilla Triantoro
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Abstracting ARM/x86 CPUs and NVIDIA/Neuron Hardware Accelerator Allocation for Containerized ML App by Yahav Biran
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The Promise of Edge ML_ Bringing Your Model to Your Data by David Aronchick
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Resisting AI by Dr. Dan McQuillan
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Build GenAI Systems, Not Models by Hugo Bowne-Anderson
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Moving Beyond Statistical Parrots - Large Language Models and their Tooling by Ben Auffarth, PhD
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AI Resilience Upskilling in an AI Dominant Environment by Leondra Gonzalez
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Unlocking the Unstructured with Generative AI_ Trends, Models, and Future Directions by Jay Mishra
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Deciphering Data Architectures (choosing between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh) by James Serra
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Beyond Theory: Effective Strategies for Bringing Generative AI into Production by Heiko Hotz
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The 12 Factor App for Data by James Bowkett
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Generative AI for Social Good by Colleen Molloy Farrelly
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CodeLlama Open Foundation Models for Code by Baptiste Roziere
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Build-a-Byte: Constructing Your Data Science Toolkit by Jarai Carter, PhD
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Programming LLMs for Business Application is Way Better Than 'Tuning' Them by Tsvi Lev
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Mastering Real-time Processing While Effectively Scaling Data Quality with Lambda or Kappa Architecture by Vipul Bharat Marlecha and Sreyashi Das
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Clean as You Go Basic Hygiene in the Modern Data Stack by Eric Callahan
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Data Engineering in the Age of Data Regulations by Alex Gorelik
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