Companies
Uber
Product category (jev): Not a vendor 58% confident
Org type (jev): End-user enterprise 100% confident
Also listed as: Uber AI · Uber AI Labs | University of Central Florida · Uber AI Solutions · Uber ATG · Uber Inc · Uber Technologies · Uber Technologies Inc · Uber Technologies, Inc · Uber Technologies, Inc. · Uber Technology Inc
Conferences sponsored6
Events sponsored13
Speaker slots155113 distinct people
Conferences present at36sponsor or speaker
Years active2019–2026
Circuit mix
Where Uber shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Open-source data infrastructure30%22 events
- Modern data stack & practitioner14%13 events
- AI engineering & MLOps14%11 events
- Streaming12%11 events
- Research9%5 events
- Software engineering & trading tech6%6 events
- Enterprise, analyst & AI expos5%5 events
- Cloud providers4%3 events
- Python & R data science4%3 events
- Postgres & open-source databases1%1 event
Presence by conference and year
Each cell is one conference in one year. Fill shows the company sponsored, shaded by its best tier that year; a dot means it had speakers there. Hover for details; click to open the event.
- Title
- Platinum
- Gold
- Silver
- Bronze
- Other / unlabeled tier
- Had speakers
Activity by year
Three measures on one year axis; each panel has its own scale. 2027, 2028 is still mostly ahead, so its bars are faded and incomplete.
Conferences present at
Distinct conferences each year, split by whether the company sponsored or only had speakers there.
- Sponsored
- Speakers only
14
8
3
5
10
10
13
7
Distinct speakers
People from this company on a program that year, each counted once.
28
10
13
12
21
18
19
13
Sponsorships by tier
Sponsorship rows per year (one per event and listing), stacked by normalized tier.
- Platinum
- Gold
- Silver
- Bronze
- Other / unlabeled
2
2
2
1
2
2
2
Where they've grown or pulled back
UpSponsored 2 conferences in 2026, up from 1 in 2023.
Counted per conference. 2026 is the latest year whose conferences have mostly happened. Tiers use the best tier each year; swatches show the path, oldest first. A conference counts as pulled out only when a later event published a complete sponsor list, since most events don’t say whether their list is complete.
New 3
First sponsored in 2025 or later.
- AI Engineer (World's Fair, Summit and regional editions)first sponsored 2026, unranked tier
- Google Cloud Nextfirst sponsored 2026, unranked tier
- MLOps World (Machine Learning in Production)first sponsored 2025, unranked tier
Moved down 1
Best tier fell between the first and latest year with a ranked tier.
- NeurIPS (Conference on Neural Information Processing Systems)Platinum 2019 → Bronze 2025
Pulled out 1
Not sponsored since 2024 or earlier, though a later event published a complete sponsor list without them.
- PrestoConlast sponsored 2023; the conference ran again in 2025
Once or on and off 1
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- PyDataonce, 2019, Gold
Lookalikes
Companies with the most similar conference footprint: they sponsor and speak at the same conferences. Bars are cosine similarity, from 0 (nothing shared) to 1 (identical).
11 Cluster: NeurIPS · ACM SIGKDD circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 13 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Intel | 7 | 54% |
| IBM | 6 | 46% |
| Ahana | 5 | 38% |
| 5 | 38% | |
| Meta | 5 | 38% |
| Microsoft | 5 | 38% |
| Weights & Biases | 5 | 38% |
| Alibaba Cloud | 4 | 31% |
| Amazon Web Services | 4 | 31% |
| Arm | 4 | 31% |
| Bloomberg | 4 | 31% |
| NVIDIA | 4 | 31% |
| OpenAI | 4 | 31% |
| Salesforce | 4 | 31% |
| Starburst | 4 | 31% |
Neighborhood: companies with nearby conference footprints
Uber (ringed) and the 30 companies closest to it on the company map. Close together means they sponsor and speak at many of the same conferences. Distances are only meaningful locally; the axes have no meaning. Dot size: conferences present at. Color: cluster.
Sponsorships 13
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| AI Engineer World's Fair 2026 | Jun 29, 2026 – Jul 2, 2026 | San Francisco, United States | Supporting Partners | Other |
| Google Cloud Next '26 | Apr 22–24, 2026 | Las Vegas, United States | Explorer | Other |
| NeurIPS 2025 (San Diego) | Dec 2–7, 2025 | San Diego, United States | Bronze | Bronze |
| 6th Annual MLOps World | GenAI Summit 2025 | Oct 8–9, 2025 | Austin, United States | Official Open Source Sponsor | Other |
| PrestoCon 2023 | Dec 5–6, 2023 | Mountain View, United States | Bronze | Bronze |
| PrestoCon Day 2023 | Jun 7, 2023 | — | Event Partner | Other |
| PrestoCon 2022 | Dec 7–8, 2022 | Mountain View, United States | Bronze | Bronze |
| PrestoCon 2021 | Dec 9, 2021 | — | Gold | Gold |
| PrestoCon Day 2021 | Mar 24, 2021 | — | Event Partner | Other |
| NeurIPS 2020 | Dec 6–12, 2020 | — | Silver | Silver |
| PrestoCon 2020 | Sep 24, 2020 | — | Event Sponsor | Other |
| NeurIPS 2019 | Dec 8–14, 2019 | Vancouver, Canada | Platinum | Platinum |
| PyData Córdoba 2019 | Sep 27–29, 2019 | Córdoba, Argentina | Gold | Gold |
Speakers 155
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Uday Kiran Medisetty | QCon San Francisco 2026 | speaker | Running Software Factory Efficiently at Uber Scale: Holding Agent Spend Steady While Requests Grew 9X | — |
| Jigyasa Grover | AGNTCon + MCPCon Europe 2026 | speaker | When NOT To Use an Agent: Choosing Between Workflows, Services, and Agent Systems | — |
| Kriti Dangi | AGNTCon + MCPCon Japan 2026 | speaker | MCP-Powered Crash Investigation: How 11 MCP Servers Help an AI Agent Debug Production Issues at Uber | — |
| Piyush Maheshwari | Airflow Summit 2026 | online reconnect talk | Microservice-Grade Delivery and Release for Airflow DAGs | — |
| Adam Huda | AI Engineer World's Fair 2026 | speaker | Agentic SDLC at Uber: Building Blocks for Uber's Software Factory | Video |
| Ameya Ketkar | AI Engineer World's Fair 2026 | speaker | Scaling Code Quality: Building uReview, Uber’s Multi-Agent Code Review Engine | Video |
| Jai Chopra | AI Engineer World's Fair 2026 | expo session | Building Closed-Loop Evals for a Multimodal Agent at Uber Scale | Video |
| Soumya Gupta | AI Engineer World's Fair 2026 | expo session | Building Closed-Loop Evals for a Multimodal Agent at Uber Scale | Video |
| Uday Kiran Medisetty | AI Engineer World's Fair 2026 | speaker | Agentic SDLC at Uber: Building Blocks for Uber's Software Factory | Video |
| Will Bond | AI Engineer World's Fair 2026 | speaker | Scaling Code Quality: Building uReview, Uber’s Multi-Agent Code Review Engine | Video |
| Melda Salhab | OpenXData 2026 (April) | panelist | Panel: Context Engineering is Just Data Engineering | Video |
| Vamshi Pasunuru | OpenXData 2026 (April) | speaker | Scalable Table Services @Uber | Video |
| Xinli Shang | OpenXData 2026 (April) | speaker | Scalable Table Services @Uber | Video |
| Matt Yates | Data Decoded LDN 2026 | keynote | People Factors at Data Driven Organisations | — |
| Matt Yates | Data Decoded LDN 2026 | keynote | PANEL: Creating a Data Led Culture | — |
| Dhruva Juloori | QCon San Francisco 2025 | speaker | Keeping the Mainline Green Across Diverse Language Monorepos | — |
| Jamieson Leibovitch | AI By the Bay 2025 | speaker | Uber's Multi-Agent Platform | Video |
| Nick DiStefano | QCon San Francisco 2025 | speaker | Migrating Uber Eats Feeds to Webview | — |
| Ajit Panda | Open Source Data Summit 2025 | speaker | Offensive data security for the real-world | Video |
| Chu Huang | Open Source Data Summit 2025 | speaker | Offensive data security for the real-world | Video |
| Pavi Subenderan | Open Source Data Summit 2025 | speaker | Offensive data security for the real-world | Video |
| Anton Kasyanov | NDSML Summit 2025 + AI2R Expo (10th edition) | speaker | — | — |
| Eric Wang | 6th Annual MLOps World | GenAI Summit 2025 | speaker | Michelangelo (Uber's ML Platform): Going Open Source | — |
| Jamieson Leibovitch | 6th Annual MLOps World | GenAI Summit 2025 | speaker | Uber's Multi-Agent SDK | — |
| Sally Lee | 6th Annual MLOps World | GenAI Summit 2025 | speaker | Michelangelo (Uber's ML Platform): Going Open Source | — |
| Sumit Maheshwari | Airflow Summit 2025 | talk | Operation Airlift: Uber's ongoing journey of migrating 200K pipelines to a single Airflow3 instance | Slides · Video |
| Mingmin Chen | Data Streaming Summit San Francisco 2025 | panelist | Streaming at the Crossroads: Can One Architecture Rule Them All? | Video |
| Yao Li | Data Streaming Summit San Francisco 2025 | speaker | Safe Streams at Scale: Uber’s Deployment Safety Framework for Flink Jobs | Video |
| Yusheng Chen | Data Streaming Summit San Francisco 2025 | speaker | Safe Streams at Scale: Uber’s Deployment Safety Framework for Flink Jobs | Video |
| Zhenqiu Huang | Data Streaming Summit San Francisco 2025 | speaker | Flink Streaming Ingestion to Cloud-lake at Scale | Video |
| Jaydeepkumar Chovatia | Community Over Code North America 2025 | speaker | Auto Repair in Apache Cassandra | — |
| Yupeng Fu | Berlin Buzzwords 2025 | talk | Evolution of Uber's Search Platform | Video |
| Jing Li | OpenXData 2025 | panelist | The Rise of Open Data Platforms | — |
| Chenyu Qiu | Data Council 2025 | talk | Scalable Continuous Monitoring for Large-scale A/B Experimentation | — |
| Mathew Mithun | Data & AI Warsaw Tech Summit 2025 | speaker | Enabling Security for Uber’s Data Infrastructure | — |
| Chen Liang | PrestoCon 2024 | speaker | Presto Cloud Migration at Uber | — |
| Curt Hu | PrestoCon 2024 | keynote | Welcome & Opening Kickoff | — |
| Vineeth Karayil Sekharan | PrestoCon 2024 | speaker | Presto Cloud Migration at Uber | — |
| 李刚 | Flink Forward Asia 2024 Shanghai | speaker | Uber流处理平台的容器化 | — |
| Janani Narayanan | QCon San Francisco 2024 | speaker | Optimizing Search at Uber Eats | — |
| Karthik Ramasamy | QCon San Francisco 2024 | speaker | Optimizing Search at Uber Eats | — |
| Hao Sun | Data Streaming Summit 2024 | speaker | Scaling Kafka Replication at Uber's Monumental Scale | — |
| Si Lao | Data Streaming Summit 2024 | speaker | Scaling Kafka Replication at Uber's Monumental Scale | — |
| Sai Sharath Dandi | Flink Forward Berlin 2024 | speaker | Streamlining Real-Time Data Processing at Uber with Protobuf Integration | — |
| Yang Yang | Flink Forward Berlin 2024 | speaker | Streamlining Real-Time Data Processing at Uber with Protobuf Integration | — |
| Abhijeet Kumar | Community Over Code North America 2024 | speaker | Better reliability and availability of Kafka with enhanced replication protocol and quota controls. | — |
| Ajit Panda | Open Source Data Summit 2024 | speaker | Achieving near real-time compliance at scale: How Uber manages sensitive data across an exabyte of global systems | Video |
| Shobhit Shah | Airflow Summit 2024 | talk | Evolution of Airflow at Uber | Slides · Video |
| Sumit Maheshwari | Airflow Summit 2024 | talk | Evolution of Airflow at Uber | Slides · Video |
| Sumit Maheshwari | Airflow Summit 2024 | talk | Optimize Your DAGs: Embrace Dag Params for Efficiency and Simplicity | Slides · Video |
| Baojun Liu | Beam Summit 2024 | speaker | Transitioning Uber Michelangelo's Batch Prediction from Apache Spark to Ray | Slides · Video |
| Curt Hu | PrestoCon Day 2024 | keynote | Welcome Remarks | — |
| Mingjia Hang | PrestoCon Day 2024 | speaker | Presto Pinot DataLake Segment Reader | — |
| Ahmed H Metwally | SIGMOD/PODS 2024 | industry paper | Similarity Joins of Sparse Features | — |
| Suraj Modi | Iceberg Summit 2024 | speaker | Enhancing System Resilience with Exponential Backoff in Distributed Architectures | Video |
| Gopal Mor | Cassandra Summit 2023 | talk | How Uber Uses Cassandra to Power Core Applications at Scale? | — |
| Jaydeepkumar Chovatia | Cassandra Summit 2023 | talk | How Uber Uses Cassandra to Power Core Applications at Scale? | — |
| Girish Baliga | PrestoCon 2023 | keynote | Keynote: Welcome & Opening Remarks | — |
| Gurmeet Singh | PrestoCon 2023 | speaker | Presto Query Governance at Uber | — |
| Hitarth Trivedi | PrestoCon 2023 | speaker | Presto Query Governance at Uber | — |
| Mingjia Hang | PrestoCon 2023 | speaker | Presto Express | — |
| Yasaman Samei | PrestoCon 2023 | speaker | Presto Query Governance at Uber | — |
| Girish Baliga | Open Source Data Summit 2023 | speaker | Diving into Uber's cutting-edge data infrastructure | Video |
| Praveen Neppali Naga | Open Source Data Summit 2023 | panelist | Panel: The growing role of open source technology in today's data architectures | Video |
| Jing Zhao | Community Over Code North America 2023 | speaker | Caching Framework for Exabyte-Scale Data Lakes | Slides |
| Mingmin Chen | Community Over Code North America 2023 | speaker | Fast Copy-On-Write within Apache Parquet for Data Lakehouse ACID Upserts | — |
| Xinli Shang | Community Over Code North America 2023 | speaker | Fast Copy-On-Write within Apache Parquet for Data Lakehouse ACID Upserts | — |
| Saketh Chintapalli | QCon San Francisco 2023 | speaker | Incremental Data Processing with Apache Hudi | — |
| Albert Greenberg | Ray Summit 2023 | keynote | — | — |
| Bo Ling | Ray Summit 2023 | speaker | Enabling End-to-End LLMOps on Michelangelo with Ray | — |
| Chongxiao Cao | Ray Summit 2023 | speaker | Enabling End-to-End LLMOps on Michelangelo with Ray | — |
| Zhitao Li | Ray Summit 2023 | keynote | — | — |
| Okke van der Wal | PyData Amsterdam 2023 | talk | Personalization at Uber scale via causal-driven machine learning | — |
| Girish Baliga | PrestoCon Day 2023 | keynote | Welcome & Opening Remarks | — |
| Girish Baliga | PrestoCon Day 2023 | speaker | Fireside Chat: Journey to Innovation: Unleashing the Power of Open Source Through Open Governance | — |
| Gurmeet Singh | PrestoCon Day 2023 | keynote | Keynote Panel: Presto at Scale | — |
| Egor Grishechko | Data Innovation Summit 2023 | featured | — | — |
| Nan Ding | Data Council Austin '23 | talk | Scaling Uber Metric System from Elasticsearch to Pinot | — |
| Yupeng Fu | Data Council Austin '23 | talk | Scaling Uber Metric System from Elasticsearch to Pinot | — |
| Saeed Contractor | World AI Cannes Festival 2023 | featured | — | — |
| Girish Baliga | PrestoCon 2022 | keynote | Keynote: Welcome & Opening Remarks | — |
| Claire Hempel | NDSML Summit 2022 (6th edition) | speaker | — | — |
| Di Yu | Ray Summit 2022 | speaker | Large-scale deep learning training and tuning with Ray at Uber | — |
| Michael Mui | Ray Summit 2022 | speaker | Large-scale deep learning training and tuning with Ray at Uber | — |
| Smitha Shyam | Ray Summit 2022 | keynote | — | — |
| Xu Ning | Ray Summit 2022 | speaker | Large-scale deep learning training and tuning with Ray at Uber | — |
| Yupeng Fu | Flink Forward San Francisco 2022 | speaker | Real-Time Exactly-Once Ad Event Processing at Uber | — |
| Yuriy Bondaruk | Flink Forward San Francisco 2022 | speaker | Real-Time Exactly-Once Ad Event Processing at Uber | — |
| Huicheng Song | ApacheCon Asia 2022 | speaker | Large scale migration to Parquet in Uber | — |
| Ankit Sultana | PrestoCon Day 2022 | speaker | Presto for Real Time Analytics at Uber | — |
| Chen Liang | PrestoCon Day 2022 | speaker | Speed Up Presto at Uber with Alluxio Caching | — |
| Girish Baliga | PrestoCon Day 2022 | keynote | Welcome & Opening Remarks | — |
| Girish Baliga | PrestoCon Day 2022 | panelist | Panel Discussion: Presto for the Open Data Lakehouse | — |
| Girish Baliga | PrestoCon Day 2022 | keynote | Closing Remarks | — |
| Gurmeet Singh | PrestoCon Day 2022 | speaker | Presto Query Analysis for Data Layout Formatting and Query Result Caching | — |
| Chen Liang | PrestoCon 2021 | speaker | Speed Up Presto Reading with Paquet Column Indexes | — |
| Devesh Agrawal | PrestoCon 2021 | speaker | Presto at Uber: SQL for Everything | — |
| Girish Baliga | PrestoCon 2021 | keynote | Welcome & Opening Remarks | — |
| Xinli Shang | PrestoCon 2021 | speaker | Speed Up Presto Reading with Paquet Column Indexes | — |
| Yang Yang | PrestoCon 2021 | speaker | Presto on Kafka at Scale | — |
| Yupeng Fu | PrestoCon 2021 | speaker | Presto on Kafka at Scale | — |
| Ankit Kumar | AWS re:Invent 2021 | chalk talk | Automate vulnerability management with Amazon Inspector [REPEAT] | Slides |
| Ankit Kumar | AWS re:Invent 2021 | breakout | {New Launch} The new Amazon Inspector for vulnerability management | Slides · Video |
| Peter Huang | Flink Forward Global 2021 | speaker | Building Presto SQL experience on Flink | — |
| Roshan Naik | Flink Forward Global 2021 | speaker | Big Data Processing : Where do we go next ? | — |
| Zhongting Hu | Flink Forward Global 2021 | speaker | Building Presto SQL experience on Flink | — |
| Girish Baliga | PrestoCon Day 2021 | speaker | Presto, Today & Beyond | — |
| Girish Baliga | PrestoCon Day 2021 | keynote | Welcome & Opening Remarks | — |
| Hitarth Trivedi | PrestoCon Day 2021 | speaker | Prism: Presto Gateway Service at Uber | — |
| Nishith Agarwal | PrestoCon Day 2021 | speaker | Speeding up Presto Queries Using Apache Hudi Clustering | — |
| Satish Kotha | PrestoCon Day 2021 | speaker | Speeding up Presto Queries Using Apache Hudi Clustering | — |
| Jing Pan | Data Con LA 2020 | speaker | Why start using uplift models for more efficient marketing campaigns | — |
| Chinmay Soman | Flink Forward Global 2020 | speaker | Powering OLAP at Uber using Apache Flink | — |
| Girish Baliga | Flink Forward Global 2020 | speaker | Powering OLAP at Uber using Apache Flink | — |
| Venkata Sanath Muppalla | Flink Forward Global 2020 | speaker | Building Unified Streaming Platform at Uber | — |
| Zoubin Ghahramani | Ray Summit 2020 | keynote | Machine Learning & A.I. At Uber | — |
| Girish Baliga | PrestoCon 2020 | keynote | Welcome by Linux Foundation & Founding Member Leaders | — |
| Girish Baliga | PrestoCon 2020 | speaker | Presto @ Uber: SQL for Everything | — |
| Girish Baliga | PrestoCon 2020 | panelist | Panel Discussion - Presto, Today, and Beyond | — |
| Harsha Reddy | PrestoCon 2020 | speaker | Presto at Uber | — |
| Dawn Woodard | KDD 2020 (virtual) | ADS invited talk | Geospatial Technologies for Ride-Hailing and Emergency Vehicle Fleets | — |
| Nader Azari | Data Council SF 2020 (online) | talk | Michelangelo Gallery: Scalable Machine Learning Model Management at Uber | — |
| Teng (Niel) Hu | Flink Forward Virtual Conference 2020 | speaker | Geospatial Situation Detection through FlinkCEP @Uber | — |
| Joshua Shinavier | Data Day Texas 2020 | keynote | TinkerPop 2020 | — |
| Martin Dam | AWS re:Invent 2019 | breakout | How Uber stores financial transactions in ledgers using Amazon DynamoDB | Slides · Video |
| Matt Ranney | AWS re:Invent 2019 | breakout | [REPEAT 1] How Uber builds efficient & scalable autonomous vehicle simulations with AWS Batch | Slides · Video |
| Travis Addair | AWS re:Invent 2019 | chalk talk | Distributed deep learning with Horovod | Slides |
| Yaz Shunnar | AWS re:Invent 2019 | breakout | Real-world customer use cases with Amazon Neptune | Slides · Video |
| Nishant Bhajaria | QCon San Francisco 2019 | speaker | Privacy Architecture for Data-Driven Innovation | Slides · Video |
| Sidney Zhang | PyTorch Developer Conference 2019 | speaker | PyTorch at Uber | Video |
| Jin Yang | Flink Forward Europe 2019 | speaker | Making Sense of Streaming Sensor Data: How Uber Detects On-trip Car Crashes | — |
| Nikolas Anderson | Flink Forward Europe 2019 | speaker | Making Sense of Streaming Sensor Data: How Uber Detects On-trip Car Crashes | — |
| Roshan Naik | Flink Forward Europe 2019 | speaker | Demystifying Flink Memory Allocation and tuning | — |
| Nemanja Duric | PyData Córdoba 2019 | speaker | Perception and Prediction at Uber ATG | — |
| Kenneth Stanley | O'Reilly Artificial Intelligence Conference San Jose 2019 | keynote | Open-endedness: A new grand challenge for AI | — |
| Mingming Chen | Data Con LA 2019 | speaker | Unifying streaming and message queue with Apache Kafka | — |
| Apoorva Jindal | QCon New York 2019 | speaker | Peloton - Uber's Webscale Unified Scheduler on Mesos & Kubernetes | — |
| Mayank Bansal | QCon New York 2019 | speaker | Peloton - Uber's Webscale Unified Scheduler on Mesos & Kubernetes | — |
| Yuri Shkuro | QCon New York 2019 | speaker | Conquering Microservices Complexity @Uber With Distributed Tracing | — |
| Yuri Shkuro | QCon New York 2019 | speaker | Microservice Observability AMA w/ Shkuro, Kaiser & MacCárthaigh | — |
| Yuri Shkuro | QCon New York 2019 | speaker | Connecting the Dots: Applying Microservices (Registration required) | — |
| Richard Artoul | Percona Live Open Source Database Conference 2019 | speaker | Automated Database Monitoring at Uber With M3 and Prometheus | — |
| Danny Chen | DataWorks Summit Washington, DC 2019 | speaker | Marmaray: Uber's Open-sourced Generic Hadoop Data Ingestion and Dispersal Framework | — |
| Omkar Joshi | Data Summit 2019 | speaker | Uber’s Hadoop Data Ingestion and Dispersal Framework | — |
| Nick Jones | PyData Amsterdam 2019 | talk | Uber's Synthetic Control Experimentation Framework When A/B Tests are Not Possible | Video |
| Sam Barrows | PyData Amsterdam 2019 | talk | Uber's Synthetic Control Experimentation Framework When A/B Tests are Not Possible | Video |
| Ethan Guo Yihua | Data Council San Francisco 2019 | talk | Powering Uber's global network analytics pipelines in near real-time with Apache Hudi (Incubating) Delta Streamer | — |
| Nishith Agarwal | Data Council San Francisco 2019 | talk | Powering Uber's global network analytics pipelines in near real-time with Apache Hudi (Incubating) Delta Streamer | — |
| Rong Rong | Flink Forward San Francisco 2019 | speaker | Practical Experience running Flink in Production | — |
| Roshan Naik | Flink Forward San Francisco 2019 | speaker | Moving from Lambda and Kappa Architectures to Kappa+ at Uber | — |
| Shuyi Chen | Flink Forward San Francisco 2019 | speaker | Practical Experience running Flink in Production | — |
| Anando Sen | Data Innovation Summit 2019 | speaker | — | — |
| Ritesh Agrawal | Data Innovation Summit 2019 | speaker | — | — |
| Chris Lu | Data Day Texas 2019 | speaker | Statistically representative graph generation and benchmarking | — |
| Joshua Shinavier | Data Day Texas 2019 | speaker | A Graph is a Graph is a Graph: Equivalence, Transformations, and Composition of Graph Data Models | — |