אירועים מתוכננים

אירועים קודמים

• 2026年06月14日 - PyData - PyData Tel Aviv @ Melio
  • Adi Sarid: Dr. Data: How We Learned to Stop Worrying and Love the AI Bomb
  • Shon Mendelson: A Match Made in Heaven: LLM Judgment at Vector-Search Speed
  • Michael Levinger: Cost-Efficient AI Systems in Practice
• 2025年11月05日 - PyData - PyData Tel Aviv 2025
• 2025年06月15日 - PyData - PyData Tel Aviv 2025 - Call For Papers
• 2025年02月24日 - PyData - Ask me anything on GenAI, LLMs and Agents, hosted by Qodo
  • Itamar Friedman: A fascinating talk
  • Mike Erlihson, Itamar Friedman, Uri Goren: Ask me anything panel
• 2025年01月29日 - PyData - PyData @Apiiro
  • Arnon Dagan: Shift Left - Leveraging Open Source LLMs to Uncover Risks in Feature Design Phase
  • Natan Katz: Supply chain security for open source models
  • Yosi Shamenzon: Matching Code to Runtime with BERT
• 2024年12月11日 - PyData - PyData @Arpeely
  • Ronny Ahituv: Supercharging CTR (Click-Through Rate) with Plug-and-Play AI Capabilities
  • Yuval Feinstein: Georgia on my Mind: NLP Meets Social Network Analysis for Exploring New Domains
  • Mike Erlihson: State-Space Models and Deep Learning: Is there a new revolution on our doorstep?
• 2024年07月21日 - PyData - PyData @ Melio
  • Michael Levinger: Implementing and Securing AI Applications
• 2024年05月21日 - PyData - Polars workshop @ Fairmatic
  • Jonathan Rosenblatt: Working with nested dtypes
  • Igor Mintz: The journey from CSV to parquet to cloud and back.
• 2024年04月03日 - PyData - PyData @ Intango
  • Doron Hai Reuven: To Bid, or not to Bid – Reinforcement Learning for Real Time Bidding
  • Daniel Svonava: Vector embeddings at the center of your data stack
  • Igor Mintz: Polars is the Pandas killer
• 2024年02月07日 - PyData - PyData @ DigitalTurbine
  • Yael Kiselman: Optimizing Ad Conversions with DS
  • Eitan Zimmerman: Diversifying the feed with color vector selection
  • Uri Goren: Using LLMs to convert freetext to structure
• 2023年06月14日 - PyData - PyData @ Explorium
  • Itay Dagan: Entity resolution at Explorium
  • Danielle Menuhin: The Hitchhiker's Guide to Labeled Data Quality
  • Izel Levy: Accelerating Data Excellence: Automated Standardization for Enhanced Integrity