Conferences / ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
KDD 2019 (25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining)
Aug 4–8, 2019 · Dena’ina Civic and Convention Center and William A. Egan Civic and Convention Center, Anchorage, AK, United States
- Conference
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) Data science & ML
- Dates
- Aug 4, 2019 – Aug 8, 2019
- Venue
- Dena’ina Civic and Convention Center and William A. Egan Civic and Convention Center
- Place
- Anchorage, AK, United States
- Format
- In person
- Status
- Past
- Attendance
- —No official figure found. Local TV news (Aug 4, 2019, pre-event) said 'around 5000 data scientists will be in town'; secondary sources (insidehpc field report, PCMA) reportedly cite ~3,200 attendees but could not be verified (pages blocked). Source: https://www.alaskasnewssource.com/content/news/Data-conference-brings-thousands-to-Anchorage-519489121.html
- Website
- kdd.org
- Recorded
- 58 sponsors · 26 speaker appearances
- Notes
- speakers: keynotes + ADS invited talks only. Rama Nemani is shown as 'Rama N' on the ADS page (full name from the photo filename). A plenary keynote panel on democratization of data science (moderator Nitesh Chawla) is not recorded. Sponsors: one entry per company at its highest listed role; the 'ali-ant' Gold logo is recorded as Alibaba and Ant Financial. Sponsor wall is logo-only; names read from logo filenames. Early-bird deadline not shown on the archived fee page.
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| One day (Thursday) | $200 | — | web.archive.org | |
| One day (Tuesday or Wednesday) | $445 | — | web.archive.org | |
| Workshop, tutorial or theme days only | $445 | — | web.archive.org | |
| Full conference, student (early bird) | $490 | — | web.archive.org | |
| Full conference, student (standard) | $590 | — | web.archive.org | |
| Full conference, SIGKDD/SIGMOD member (early bird) | $890 | — | web.archive.org | |
| Full conference, SIGKDD/SIGMOD member (standard) | $1,090 | — | web.archive.org | |
| Full conference, non-ACM/SIG member (early bird) | $1,090 | — | web.archive.org | |
| Full conference, non-ACM/SIG member (standard) | $1,215 | — | web.archive.org |
Sponsors 58
Platinum 4
Silver 10
Bronze 11
Media 2
- Big Data (Mary Ann Liebert) · Media Sponsor
- Synced · Media Sponsor
Other 21
- Appen · Bag Insert Sponsor
- Cambridge University Press · Exhibitor
- CRC Press · Exhibitor
- Frontiers · Exhibitor
- Geneia · Bag Insert Sponsor
- Gurobi · Keynote Sponsor
- Hexagon-ML · Bag Insert Sponsor
- Indeed · Exhibitor
- JD.com · Award Sponsor (Best Paper / Best Student Paper)
- KenSci · Lanyard Sponsor
- Leidos · Award Sponsor (Best Paper / Best Student Paper)
- Meituan · Award Sponsor (Best Paper / Best Student Paper)
- Ping An Technology · Award Sponsor (Best Paper / Best Student Paper)
- Pinterest · Exhibitor
- Springer Nature · Exhibitor
- Squirrel AI Learning · Keynote Sponsor
- Target · Exhibitor
- The MIT Press · Exhibitor
- TigerGraph · Award Sponsor (Best Paper / Best Student Paper)
- Two Sigma · Keynote Sponsor
- Yahoo · Exhibitor
Speakers and talks 26
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Cynthia Rudin | Duke University | Keynote | Do Simpler Models Exist and How Can We Find Them? | — |
| Peter Lee | Microsoft | Keynote | The Unreasonable Effectiveness and Difficulty of Data in Healthcare | — |
| Ashok Srivastava | Intuit | ADS invited talk | AI for Small Businesses and Consumers: Applications and Innovations | — |
| Carlos Guestrin | Apple | ADS invited talk | 4 Perspectives in Human-Centered Machine Learning | — |
| David Heckerman | Amazon Web Services | ADS invited talk | Exploiting High Dimensionality in Big Data | — |
| Elena Grewal | Airbnb | ADS invited talk | Seven Years of Data Science at Airbnb | — |
| Gabriel Domínguez Conde | Microsoft | ADS invited talk | Preventing Rhino Poaching through Machine Learning | — |
| Ganesh Thondikulam | Kaiser Permanente | ADS invited talk | Analytics Journey Map: An approach enable to ML at scale | — |
| Hassan Sawaf | Amazon Web Services | ADS invited talk | Applications of AI/ML in Established and New Industries | — |
| Hongxia Yang | Alibaba Cloud | ADS invited talk | Aligraph: A Comprehensive Graph Neural Network Platform | — |
| Jai Ranganathan | KeepTruckin | ADS invited talk | Spinning the AI Pinwheel | — |
| Jieping Ye | DiDi | ADS invited talk | Transportation: A Data Driven Approach | — |
| Joseph Bradley | Databricks | ADS invited talk | Addressing Challenges in Data Science: Scale, Skill Sets and Complexity | — |
| Kevin Haas | ADS invited talk | Towards ML Engineering with TensorFlow Extended (TFX) | — | |
| Konstantinos Katsiapis | ADS invited talk | Towards ML Engineering with TensorFlow Extended (TFX) | — | |
| Kumar Chellapilla | Lyft | ADS invited talk | Building a Better Self-Driving Car: Hardware, Software, and Knowledge | — |
| Neel Sundaresan | Microsoft | ADS invited talk | From Code to Data: AI at Scale for Developer Productivity | — |
| Olga Liakhovich | Microsoft | ADS invited talk | Preventing Rhino Poaching through Machine Learning | — |
| Paige Maas | Meta | ADS invited talk | Facebook Disaster Maps: Aggregate Insights for Crisis Response & Recovery | — |
| Rama Nemani | NASA | ADS invited talk | Earth Observations from a New Generation of Geostationary Satellites | — |
| Richard Caruana | Microsoft | ADS invited talk | Friends Don’t Let Friends Deploy Black-Box Models: The Importance of Intelligibility in Machine Learning | — |
| Romer Rosales-Delmoral | ADS invited talk | Product Ecosystem Optimization at LinkedIn | — | |
| Ruslan Salakhutdinov | Apple | ADS invited talk | Integrating Domain-Knowledge into Deep Learning | — |
| Sreenivas Gollapudi | ADS invited talk | Welfare Maximization in Online Two-sided Marketplaces | — | |
| Ya Xu | ADS invited talk | Data Science Challenges @LinkedIn | — | |
| Yinglong Xia | Meta | ADS invited talk | Role of Unified Graph Analysis Platforms for Smart Cities | — |
Sources
- https://www.kdd.org/kdd2019/
- https://www.kdd.org/kdd2019/attending/venue
- https://www.kdd.org/kdd2019/sponsors
- https://www.kdd.org/kdd2019/keynotes
- https://www.kdd.org/kdd2019/keynotes/plenary-panel
- https://www.kdd.org/kdd2019/applied-data-science-invited-speakers
- https://web.archive.org/web/20190721085237/https://www.kdd.org/kdd2019/attending/registration
- https://www.alaskasnewssource.com/content/news/Data-conference-brings-thousands-to-Anchorage-519489121.html