Conferences / OmniSci Converge
OmniSci Converge 2019
Oct 21–23, 2019 · Computer History Museum, Mountain View, CA, United States
- Conference
- OmniSci Converge Vendor & industry
- Dates
- Oct 21, 2019 – Oct 23, 2019
- Venue
- Computer History Museum
- Place
- Mountain View, CA, United States
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- converge.omnisci.com
- Recorded
- 6 sponsors · 28 speaker appearances
- Notes
- Oct 21 was a free Community Day (workshops, lightning talks); keynotes Oct 22. Site advertised 30+ sessions and 40+ speakers. Speakers from the archived sessions collection page; panel sessions listed only as 'Panel Speakers' (Nodes for Days; Graph Processing with Julia and OmniSci; Flint Water Crisis; Intro to Immerse; Game of Phones; Data Deluge (StormSense/NOAA); Lockheed Martin/NVIDIA/Z by HP panel; Partner Panel; Community Day Fireside Chat) are omitted. A HEAVY.AI 'Converge 2019 in review' blog reportedly cites nearly 250 attendees, but the page could not be fetched to confirm, so attendance is left null.
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| 3-Day Pass (early bird) | $595 | Jul 5, 2019 | web.archive.org | |
| Community Day | $0 | — | web.archive.org | |
| 3-Day Pass | $795 | — | July 6 - October 21 | web.archive.org |
Sponsors 6
Speakers and talks 28
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Todd Mostak | OmniSci | Keynote | Keynote: The Future of Accelerated Analytics & Data Science | — |
| Travis Oliphant | Quansight | Keynote | Keynote: OmniSci's Roadmap & Thriving in a Data-Driven World | — |
| Wes McKinney | Ursa Labs | Keynote | Keynote: Apache Arrow: Leveling Up the Data Science Stack | — |
| Aaron Williams | OmniSci | Host | Community Day Lightning Talks | — |
| Areg Melik-Adamyan | Intel | Speaker | Towards Optimized Open Dataframe Ecosystem on the Example of OmniSci | — |
| Benjamin Pezzillo | Pactriglo | Speaker | Mapping the Invisible: Using Big Data, Geofiles, and GPU-power to Find Places to Build More Dwelling Units in Los Angeles | — |
| Caroline Persson | BMW Group | Speaker | How BMW Group Applies Deep Learning for Visual Inspection and Quality Control | — |
| Chris Havlin | TELUS | Speaker | Interactive Telco Market Sizing and Visualization Across Layers of Disparate Data | — |
| Dan Gualtieri | Legato Energy Solutions | Speaker | What Your Momma Never Told You About Oil & Gas Analytics | — |
| David Meng | OCC | Speaker | Real-time Financial Risk Management with OmniSci | — |
| Dustin Wright | TELUS | Speaker | Interactive Telco Market Sizing and Visualization Across Layers of Disparate Data | — |
| Jacci Cenci | NVIDIA | Speaker | AI-Ready Building Blocks for Deep-learning Based Accelerated Workflow and Data Curation | — |
| Jared Dame | HP | Speaker | Compute of the Future: Pros and Cons Between Data Science on a Workstation vs Cloud | — |
| Jared Ritter | Charter Communications | Speaker | Why Exploring Data is Important (for Management) | — |
| Josh Patterson | NVIDIA | Speaker | RAPIDS: The Platform Inside and Out | — |
| JP Harvey | OmniSci | Speaker | I Hate You, I Love You: the Road to Hell Is Paved with GPU Orchestration | — |
| JP Harvey | OmniSci | Speaker | Integrating Jupyter & Python with OmniSci | — |
| Max Zinner | SentryMS | Speaker | Medical Transportation in New York: Challenges and Lessons in Patient Care Access | — |
| Michael Flaxman | Geodesign Technologies | Speaker | Practical Application of Deeply Geotemporal Data | — |
| Pat Patterson | StreamSets | Speaker | DevOps for Data Integration | — |
| Richard Sutton | Skyhook | Speaker | The Forest & the Trees: Leveraging OmniSci to Support Geo-Semantic Pattern Detection in Large, Globally Distributed Data Sets | — |
| Sam Carroll | OmniSci | Speaker | End-To-End Analytics Made Easy: BI Workflows with OmniSci | — |
| Samantha Chappell | UCLA | Speaker | The Galaxy in a Dashboard: Visualizing the Milky Way using OmniSci | — |
| Sean Griffin | Disaster Intelligence, Inc | Speaker | Leveraging Omnisci to Deliver Real Time Analysis for Large Scale Disaster Response | — |
| Srinivas Kesanapally | Amazon Web Services | Speaker | AWS and OmniSci - Data Analytics at GPU Scale | — |
| Tom Bowyer | OmniSci | Speaker | New IP, Who Dis? Exploring AWS Flow Logs with OmniSciDB | — |
| Umesh Gupta | NC State University | Speaker | Real-time Automatic Identification System (AIS) Data Analytics | — |
| Will Webb | Insight Sourcing Group | Speaker | How to Impact Bottom Line Through Real-time Analytics on Customer Sourcing Data | — |
Sources
- https://web.archive.org/web/20190929085434/https://converge.omnisci.com/
- https://web.archive.org/web/20191208102828/https://converge.omnisci.com/sessions-collection-page
- https://www.prnewswire.com/news-releases/omnisci-introduces-converge-the-inaugural-user-conference-on-gpu-accelerated-analytics-and-data-science-october-21-23-2019-300838134.html
- https://www.prnewswire.com/news-releases/omnisci-announces-sponsors-for-inaugural-converge-conference-300915208.html