Conferences / Data Council
Data Council Austin 2024
Mar 26–28, 2024 · AT&T Hotel and Conference Center (University of Texas campus), Austin, TX, United States
- Conference
- Data Council Vendor & industry
- Dates
- Mar 26, 2024 – Mar 28, 2024
- Venue
- AT&T Hotel and Conference Center (University of Texas campus)
- Place
- Austin, TX, United States
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- datacouncil.ai
- Recorded
- 17 sponsors · 98 speaker appearances
- Notes
- Sponsor logos were shown without tier labels. Ticket prices not found (sold via Ticket Tailor). 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 17
Speakers and talks 98
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| DJ Patil | — | Keynote | Why it Takes Billions: Navigating the AI landscape with OpenAI, Google, Nvidia, and Everyone Else with Billions to Spare GenAI & agents | — |
| Joseph E. Gonzalez | RunLLM | Keynote | Why it Takes Billions: Navigating the AI landscape with OpenAI, Google, Nvidia, and Everyone Else with Billions to Spare GenAI & agents | — |
| Miguel Paredes | — | Keynote | Creating a Competitive Advantage in the Age of Intelligence as a Service Strategy & culture | — |
| A. Jesse Jiryu Davis | MongoDB | Talk | Predictive Auto-Scaling at MongoDB Operational databases | — |
| Aaron Taylor | Nalej | Talk | Enabling Data Centric Solutions through Modern Schema Management Analytics engineering | — |
| Abhi Sivasailam | Levers Labs | Talk | Data Culture as a Product Strategy & culture | — |
| Adam Cimarosti | QuestDB | Talk | Optimizing Time Series Data in Mixed Architectures with QuestDB Operational databases | — |
| Alex Dimakis | The University of Texas at Austin | Talk | GenAI and Datacomp: Creating the Largest Public Multimodal Dataset in Academia GenAI & agents | — |
| Alex Martin | Tinybird | Talk | Events Sourcing with Kafka at Scale Streaming | — |
| Alex Wood-Doughty | Monocle | Talk | Building a User-Level Targeting Platform Other | — |
| Alexandru Cristu | Streamkap | Talk | Streaming CDC data from PostgreSQL to Snowflake, challenges and solutions Data engineering | — |
| Amber Roberts | Arize AI | Talk | LLM Observability and Evaluations GenAI & agents | — |
| Amit Sangani | Meta | Talk | Innovating with Open Generative AI GenAI & agents | — |
| Andrew Dworschak | Yakoa | Talk | Creating a Purpose-Built Data Indexer Database internals | — |
| Andrew Lamb | InfluxData | Talk | Building InfluxDB 3.0 with Apache Arrow, DataFusion, Flight and Parquet Database internals | SlidesVideo |
| Ashwin Ramesh | Continual | Talk | Fast ReActions: Planning and Reasoning Quickly with LLMs GenAI & agents | — |
| Bart Palmer | Cardagraph | Talk | Bringing Accuracy and Predictability to Software's Most Intractable Problem: Forecasting Development Timelines and On-Time Delivery Strategy & culture | — |
| Benn Stancil | Mode | Panel | WTF Are We Doing? Strategy & culture | — |
| Bhaskar Ghosh | 8VC | Talk | From Silo to Scale: How Data Infrastructures Evolved to Bring More Data to More People Data engineering | — |
| Brenna Buuck | MinIO | Talk | Redefining Database Workloads: The Future with Modern Object Storage Database internals | — |
| Brent Cohn | Stripe | Talk | Optimization and Contextual Bandits at Stripe ML & MLOps | — |
| C.J. Jameson | Monte Carlo | Talk | Empowering Data Teams: A Step-by-Step Playbook for Leads and Managers Strategy & culture | — |
| Caitlin Colgrove | Hex | Panel | Panel: Insights from Founders Shaping the Industry's Future Strategy & culture | — |
| Caitlin Hudon | Figma | Panel | WTF Are We Doing? Strategy & culture | — |
| Ce Zhang | Together AI | Talk | Building an Ecosystem for Open Foundation Models, Together GenAI & agents | — |
| Ce Zhang | Together AI | Talk | How Developers Should Think About the Emerging AI Stack GenAI & agents | — |
| Celina Wong | Data Culture | Talk | Data Culture 2.0: Leveraging AI to Build Human Connections and Expand Your Influence Strategy & culture | — |
| Chad Sanderson | Gable.ai | Panel | WTF Are We Doing? Strategy & culture | — |
| Chang She | LanceDB | Talk | Foundations for a Multi-Modal Lakehouse for AI Warehouse & lakehouse | — |
| Colleen Tartow | Capital One | Talk | The Reality of Building a Modern AI Data Stack Data engineering | — |
| Dan Mejia | Figma | Talk | Working Outside the Box: the Journey to FigJam AI GenAI & agents | — |
| Daniel Olmedilla | Talk | Building Responsible and Trustworthy Generative AI Products at LinkedIn GenAI & agents | — | |
| David Margulies | Tinybird | Talk | Let's Play: Flappybird (+ some Data Engineering) Data engineering | — |
| Deepyaman Datta | Voltron Data | Talk | Unified Stream/Batch Execution with Ibis Data engineering | — |
| Dhruv Singh | HoneyHive AI | Talk | Unlocking Reliable GenAI: Strategies for Assessing LLMs in Real-World Applications GenAI & agents | — |
| Elijah Ben Izzy | DAGWorks Inc | Talk | Move Fast and Don't Break Things -- how to build a data platform that scales with your organization Strategy & culture | — |
| Elkhan Dadashov | Apple | Talk | Streamlining Entry Into Streaming Analytics with JupyterHub and Apache Flink Streaming | — |
| Emilio Tamez | Beam | Talk | How Beam uses Code-based dashboards to Scale Analytics Products BI & semantic layer | — |
| Eric Warner | Collibra | Talk | Using AI, Mathematics, and Statistics to Find Similar Data in Massive Data Ecosystems Data science | — |
| Erick Enriquez | InQuery | Talk | Charting the Lakehouse Trail: A Data Migration Adventure Warehouse & lakehouse | — |
| Ernie Ostic | Manta | Panel | Panel: Data Lineage We’ve Come a Long Way Data quality & observability | — |
| George Fraser | Fivetran | Panel | Panel: Insights from Founders Shaping the Industry's Future Strategy & culture | — |
| Gilberto Hernandez | Snowflake | Talk | Build AI Apps with Llama 2 in 10 Minutes with Snowflake Cortex GenAI & agents | — |
| Harel Shein | Datadog | Panel | Panel: Data Lineage We’ve Come a Long Way Data quality & observability | — |
| Hope Wang | Alluxio | Talk | Tackling I/O Challenges in Modern Data Lakes Warehouse & lakehouse | — |
| Iaroslav Zeigerman | Tobiko Data | Talk | Evolving Data Pipelines at Scale Data engineering | — |
| Jack Klamer | Starburst | Talk | Not Your Father's Data Lakehouse: Building with Trino and Iceberg Warehouse & lakehouse | — |
| Jake Thomas | Okta | Talk | Processing Trillions of Records at Okta with Mini Serverless Databases Operational databases | — |
| Jan Soubusta | GoodData | Talk | WTF is an Analytics Lake: Building an Open Data Service Layer with Arrow, DuckDB and Semantic Layer Warehouse & lakehouse | — |
| Jonathan Talmi | Cohere | Talk | Building a Flexible Data Platform for LLM Training Data Data engineering | — |
| Jordan Volz | lolpop | Talk | Introducing lolpop: an Open Source Framework for Machine Learning Workflows ML & MLOps | — |
| Josh Schwartz | Phaselab | Talk | How Data Teams Can Contribute to Data Privacy Governance & security | — |
| Julien Le Dem | Datadog | Talk | Ten Years of Building Open Source Standards Community & projects | — |
| Kenny Wong | Coda | Talk | From Playgrounds to Production: The Evolution of AI Evaluation at Coda GenAI & agents | — |
| Kirit Basu | Metaphor | Talk | The End of Data Governance as We Know It Governance & security | — |
| Kyle Weller | Onehouse | Talk | Open Data Foundations across Hudi, Iceberg and Delta Warehouse & lakehouse | — |
| Laura Cosgrove | Microsoft | Talk | Case Studies from a Methodologist on an Experimentation Platform Data science | — |
| Leah Weiss | Preql | Panel | Panel: Insights from Founders Shaping the Industry's Future Strategy & culture | — |
| Lindsay Murphy | Hiive | Talk | Cost Containment–A Critical Piece of your Data Team's ROI Infrastructure & cost | — |
| Lukas Biewald | Weights & Biases | Talk | OttoBot: Productionizing LLM Models GenAI & agents | — |
| Mahendra Kutare | Deeptrail | Talk | How a "Less is More" Approach Stems the Sprawl of Security Data and Makes it More Actionable Governance & security | — |
| Marck Vaisman | Microsoft | Talk | What Makes for an Effective Data Practitioner in 2024? Strategy & culture | — |
| Matt Helm | Materialize | Talk | Real-Time Analytics for Small Data Teams Streaming | — |
| Matthieu Humeau | MongoDB | Talk | Predictive Auto-Scaling at MongoDB Operational databases | — |
| Micah Wylde | Arroyo Sytems | Talk | Why Streaming SQL? The Semantics and Challenges of Applying SQL to Unbounded Data Streaming | — |
| Michael Bullington | Figma | Talk | Working Outside the Box: the Journey to FigJam AI GenAI & agents | — |
| Michael Eastham | Tecton | Talk | Building a Unified Feature Platform with DuckDB and Arrow ML & MLOps | — |
| Michelle Ufford Winters | eBay | Talk | The Future of Data Engineering in a Post-AI World Data engineering | — |
| Miriah Peterson | MX | Talk | Scaling Data Reliably: a Journey in Growing Through Data Pain Points Data engineering | — |
| Monica Miller | Starburst | Talk | Not Your Father's Data Lakehouse: Building with Trino and Iceberg Warehouse & lakehouse | — |
| Nico Acosta | Propel | Talk | From Twilio to Propel: Building Real-Time Customer-Facing Analytics at Scale Streaming | — |
| Noelle Saldana | Data Science & Analytics | Talk | How to Align AI Capabilities with Product Strategy so You Can Innovate Strategy & culture | — |
| Noy Twerski | Sherloq Data | Talk | Building a Holistic SQL Chatbot that Solves Real Problems for People in Tech and the Business GenAI & agents | — |
| Ofer Mendelevitch | Vectara | Talk | How to build a GenAI Application with Vectara - a Step-by-Step Guide GenAI & agents | — |
| Paco Valdez | Cube | Talk | Build Faster, More Responsive Analytics with a Semantic Layer BI & semantic layer | — |
| Pete Hunt | Dagster Labs | Talk | Declarative Orchestration: Why You’ve Been Thinking About the Wrong DAG the Entire Time Orchestration | — |
| Ram Sriharsha | Pinecone | Talk | How Developers Should Think About the Emerging AI Stack GenAI & agents | — |
| Ryan Dolley | GoodData | Talk | WTF is an Analytics Lake: Building an Open Data Service Layer with Arrow, DuckDB and Semantic Layer Warehouse & lakehouse | — |
| Ryan Worl | WarpStream | Talk | Beyond Kafka: Cutting Costs and Complexity with WarpStream and S3 Streaming | — |
| Ryanne Dolan | Talk | Is Kubernetes a Database? Infrastructure & cost | — | |
| Sai Srirampur | ClickHouse | Talk | What does it take to build a Postgres specialized data movement tool? Data engineering | — |
| Samantha Lohier | Data Culture | Talk | Data Culture 2.0: Leveraging AI to Build Human Connections and Expand Your Influence Strategy & culture | — |
| Schaun Wheeler | Aampe | Talk | Agentic Architecture to Reduce Decision Paralysis GenAI & agents | — |
| Sheeri Cabral | Collibra | Panel | Panel: Data Lineage We’ve Come a Long Way Data quality & observability | — |
| Slater Stich | Bain Capital | Talk | Give Rust a Chance Other | — |
| Soheil Koushan | Anthropic | Talk | How Developers Should Think About the Emerging AI Stack GenAI & agents | — |
| Solomon Kahn | Delivery Layer | Talk | Driving Revenue By Getting Your Data Outside Your Company Strategy & culture | — |
| Suman Karumuri | Airbnb | Talk | Building a Reliable, Secure and Efficient Event Ingestion Pipeline Data engineering | — |
| Tim Castillo | Dagster Labs | Talk | Rising Tides with Radical Transparency: Why and How to Open Source Your Data Platform Strategy & culture | — |
| Timothy Chan | Statsig | Talk | Beyond Simple A/B Testing: Advanced Experimentation Tactics Data science | — |
| Tobias Lunt | Development | Talk | Data for impact: levering LLMs for nonprofit social research GenAI & agents | — |
| Tyler Dunn | Continue | Talk | How to Use Your Development Data to Make LLMs Code Like You and Your Team GenAI & agents | — |
| Ville Tuulos | Outerbounds | Talk | Beyond MLOps: Building AI systems with Metaflow ML & MLOps | — |
| Wes McKinney | Posit | Talk | The Future Roadmap for the Composable Data Stack Analytics engineering | Video |
| Will Goldstein | Twirl | Talk | Bridging the Gap Between Batch and Real-Time with Mixed-Latency Pipelines Data engineering | — |
| Yevgeny Pats | CloudQuery | Talk | CloudQuery: Open-Source High-Performance Cross-Language ELT Framework Powered by Apache Arrow Data engineering | — |
| Zhamak Dehghani | Nextdata | Talk | Data Mesh: The Next Stage in the Evolution from Time Share to Data Share Strategy & culture | — |
| Zoe Steinkamp | InfluxData | Talk | A 101 in Time Series Analytics with Apache Arrow, Pandas and Parquet Data science | — |