Conferences / TensorFlow World
TensorFlow World 2019
Oct 28–31, 2019 · Santa Clara Convention Center, Santa Clara, CA, United States
- Conference
- TensorFlow World Data science & ML
- Dates
- Oct 28, 2019 – Oct 31, 2019
- Venue
- Santa Clara Convention Center
- Place
- Santa Clara, CA, United States
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- conferences.oreilly.com
- Recorded
- 21 sponsors · 21 speaker appearances
- Notes
- Speakers: keynotes only (159 speakers listed); keynote talk titles from speaker pages (sponsored keynotes included). Tier mapping: Presented by (TensorFlow; O'Reilly omitted), Diamond, Elite -> title; Gold -> gold; Supporting, Global Sponsors, Premier Exhibitors, Exhibitors -> other; Innovators -> startup; Community Partners -> community. Prices not found. Videos on the TF World 2019 YouTube playlist.
Ticket prices
No ticket prices recorded
Sponsors 21
Title / headline 4
- Google · Diamond Sponsor
- IBM · Elite Sponsors
- NVIDIA · Elite Sponsors
- TensorFlow · Presented by
Gold 1
- Databricks · Gold Sponsor
Startup 6
- cnvrg.io · Innovators
- Determined AI · Innovators
- Inferencery · Innovators
- Manceps, Inc. · Innovators
- PerceptiLabs · Innovators
- Valohai · Innovators
Community 1
- ODBMS.org · Community Partners
Other 9
- Amazon Web Services · Premier Exhibitors
- Dataiku · Global Sponsors
- Kyligence · Global Sponsors
- Lambda · Exhibitors
- One Convergence · Premier Exhibitors
- Quantiphi · Premier Exhibitors
- Tech Mahindra · Exhibitors
- Tensor Networks · Supporting Sponsors
- VMware · Supporting Sponsors
Speakers and talks 21
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Ankur Narang | Hike | Keynote | Sticker recommendation and AI-driven innovations on the Hike messaging platform | — |
| Anna Roth | Microsoft | Keynote | "Human error": How can we help people build models that do what they expect | — |
| Anusha Ramesh | Keynote | TFX: An end-to-end ML platform for everyone | — | |
| Ben Lorica | O'Reilly | Keynote | Wednesday keynote welcome | — |
| Chris Lattner | Keynote | MLIR: Accelerating AI | — | |
| Craig Wiley | Keynote | Enterprise-ready TensorFlow in the cloud (sponsored by Google Cloud Platform) | — | |
| Edd Wilder-James | Keynote | Wednesday keynote welcome | — | |
| Frederick Reiss | IBM | Keynote | TensorFlow, open source, and IBM (sponsored by IBM) | — |
| Jared Duke | Keynote | TensorFlow Lite: ML for mobile and IoT devices | — | |
| Jeff Dean | Keynote | Opening keynote | — | |
| Joseph Paul Cohen | Mila - Quebec AI Institute | Keynote | TensorFlow.js: Bringing machine learning to JavaScript | — |
| Kemal El Moujahid | Keynote | TensorFlow community announcements | — | |
| Konstantinos Katsiapis | Keynote | TFX: An end-to-end ML platform for everyone | — | |
| Megan Kacholia | Keynote | The latest from TensorFlow | — | |
| Mike Liang | Keynote | TensorFlow Hub: The platform to share and discover pretrained models for TensorFlow | — | |
| Sandeep Gupta | Keynote | TensorFlow.js: Bringing machine learning to JavaScript | — | |
| Sarah Sirajuddin | Keynote | TensorFlow Lite: ML for mobile and IoT devices | — | |
| Tatiana Shpeisman | Keynote | MLIR: Accelerating AI | — | |
| Theodore Summe | Keynote | Accelerating ML at Twitter | — | |
| Tony Jebara | Spotify | Keynote | Personalization of Spotify Home and TensorFlow | — |
| Ujval Kapasi | NVIDIA | Keynote | Accelerating TensorFlow for research and deployment (sponsored by NVIDIA) | — |