- Conference
- Data Council Vendor & industry
- Dates
- Jul 22, 2020 – Jul 23, 2020
- Venue
- —
- Place
- —
- Format
- Online
- Status
- Past
- Attendance
- —
- Website
- —
- Recorded
- 0 sponsors · 19 speaker appearances
- Notes
- Because of COVID-19, Data Council SF '20 was restructured as a private online event. Dates from the AI Council archive. Speakers: all talks listed in the AI Council (formerly Data Council) past-events archive; affiliations as given there, which may reflect a speaker's title at a later date.
Ticket prices
No ticket prices recorded
Sponsors 0
No sponsors recorded
Speakers and talks 19
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Edo Liberty | Hypercube | Keynote | Real-time Retrieval with Deep Learning: Benefits and Challenges ML & MLOps | — |
| Emmanuel Ameisen | Stripe | Keynote | Pitfalls and Challenges of ML-Powered Applications ML & MLOps | — |
| Michael Armbrust | Databricks | Keynote | Data Reliability for Data Lakes Data quality & observability | — |
| Alyssa Ransbury | Square | Talk | Amundsen - From Discovering Data to Securing Data Governance & security | — |
| Grace Huang | Netflix | Talk | MESA: Building a Personalized Messaging System at Netflix Other | — |
| Haytham Abuelfutuh | Lyft | Talk | Flyte: Cloud Native Machine Learning & Data Processing Platform ML & MLOps | — |
| Jeremy Cohen | dbt Labs | Talk | Meet dbt: The Data Transformation Tool Used by JetBlue, GitLab, Wistia, and Away Analytics engineering | — |
| Luis Remis | ApertureData | Talk | Time to Rethink Visual Data Management for Machine Learning ML & MLOps | — |
| Mark Grover | Stemma | Talk | Amundsen - From Discovering Data to Securing Data Governance & security | — |
| Mehrnoosh Sameki | Microsoft | Talk | Responsible AI – Model Interpretability and Fairness ML & MLOps | — |
| Mitul Tiwari | Stealth | Talk | Lessons Developing Conversational AI Virtual Agents GenAI & agents | — |
| Nader Azari | Uber | Talk | Michelangelo Gallery: Scalable Machine Learning Model Management at Uber ML & MLOps | — |
| Nick Schrock | Dagster Labs | Talk | Dagster: Workflows for Data Science, Machine Learning, and Data Engineering Orchestration | — |
| Nikhil Simha | Airbnb | Talk | Zipline - Airbnb's Declarative Feature Engineering Framework ML & MLOps | — |
| Peter Kairouz | Talk | Federated Learning and Analytics at Google and Beyond ML & MLOps | — | |
| Vishakha Gupta-Cledat | ApertureData | Talk | Time to Rethink Visual Data Management for Machine Learning ML & MLOps | — |
| Vitaly Gordon | Faros AI | Talk | The Unreasonable Effectiveness of Product Sense Strategy & culture | — |
| Willy Lulciuc | Datakin | Talk | Data Lineage with Apache Airflow Data quality & observability | — |
| Zineb Laraki | Salesforce | Talk | Agile AI: From Research, Production to Customer Adoption ML & MLOps | — |