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Conferences / Data Council

Data Council Austin '23

Mar 28–30, 2023 · AT&T Hotel and Conference Center, Austin, TX, United States

Conference
Data Council Vendor & industry
Dates
Mar 28, 2023 – Mar 30, 2023
Venue
AT&T Hotel and Conference Center
Place
Austin, TX, United States
Format
In person
Status
Past
Attendance
—
Website
datacouncil.ai
Recorded
34 sponsors · 102 speaker appearances
Notes
First three-day edition. Ticket prices were sold via Ticket Tailor and not shown on the archived pages. 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 34

Speakers and talks 102

SpeakerCompanyRoleTalkLinks
Barry McCardelHexKeynoteHot or Not? Trends & Buzzwords in Data Other—
Barry McCardelHexKeynoteAI - The Future is Now GenAI & agents—
DJ Patil—KeynoteThe things I wish I knew -- What I've gotten right and wrong from startups to the White House, and the world ahead Strategy & culture—
Drew Banindbt LabsKeynoteHot or Not? Trends & Buzzwords in Data Other—
George MathewInsightKeynoteAI - The Future is Now GenAI & agents—
Gregory LarsonJasperKeynoteAI - The Future is Now GenAI & agents—
Idan GazitGitHubKeynoteAI - The Future is Now GenAI & agents—
Julia Schottensteindbt LabsKeynoteHot or Not? Trends & Buzzwords in Data Other—
Pedram NavidDagster LabsKeynoteHot or Not? Trends & Buzzwords in Data Other—
Sean OwenDatabricksKeynoteAI - The Future is Now GenAI & agents—
Shirshanka DasAcryl DataKeynoteBuilding a Control Plane for Data Governance & security—
Aaron Richter, PhDformerly SquarespaceTalkA deep dive into the dbt manifest Analytics engineering—
Aaron WroblewskiZillowTalkThe Data Infra Behind Zillow's 3x Growth in Experiment Volume Data science—
Abhi SivasailamLevers LabsTalkDesigning and Building Metric Trees Database internals—
Ahmad KhanSnowflakeTalkTrain, Deploy, and Run a ML model using Python, Snowpark and Streamlit ML & MLOps—
Ahmed ElsamadisiNarratorTalkHow to End the Long-tail of Most Data Requests? Other—
Alec BialoskySelect StarTalkModern Data Management - How to Set Your Data Team Up for Success Strategy & culture—
Alex MercedDremioTalkExperiencing Data as Code with Dremio Arctic and Apache Iceberg Warehouse & lakehouse—
Alice LeachWhatnotTalkExtreme Self-Service: Turning Data Consumers into Data Constructors BI & semantic layer—
Antoni BaumAnyscaleTalkHuggingFace + Ray AIR Integration: A Python Developer’s Guide to Scaling Transformers ML & MLOps—
Ayush PatelCensiusTalkEvolving AI Laws and the Imperative to Build Safe, Compliant, and Risk-proof AI Governance & security—
Ben RogojanSeattle Data GuyTalkWhat I Don’t Want To Exist In The Data World In 5 Years Strategy & culture—
Chad SandersonGable.aiTalkData Contracts: Accountable Data Quality Data quality & observability—
Curtis NorthcuttCleanlabTalkAutomatically Fix Data Issues & Label Errors in Most ML Datasets ML & MLOps—
D. SivakumarTonitaTalkGenerative AI for Search GenAI & agents—
Dan EisenbergHashboardTalkDataOps for Business Intelligence: How "Dashboards as Code" Can Help You Develop and Validate Your Analytics BI & semantic layer—
Daniel MyersSnowflakeTalkThe Story of DevRel at Snowflake: How We Got Here Strategy & culture—
Daniel SelansStreamdalTalkReal-time Schema Discovery Streaming—
David WilsonHunch ToolsTalkLatency is the Mind Killer: it’s Time to Reimagine Data Interactions Other—
Dean PlebanDagsHubTalkML in Production – What Does “Production” Even Mean? ML & MLOps—
Dennis HumeMaterializeTalkStreaming Analytics with dbt: The Fun Parts Streaming—
DeVaris BrownMeroxaTalkCreating Self Service, High Velocity Data Cultures Strategy & culture—
Dr. Nile WilsonMicrosoftTalkWriting Unit Tests for Data Science Code Data science—
Emily CurtinIntuitTalkExtinguishing the Garbage Fire of ML Testing ML & MLOps—
Emma Tang—TalkThe Road to Exceptional Data Correctness Data quality & observability—
Erik BernhardssonModalTalkCreating our own Kubernetes and Docker to run our data infrastructure Infrastructure & cost—
Erik EdelmannHightouchTalkHow to Make Marketing Fall In Love with Data Modeling Analytics engineering—
Fedor ZhdanovTolokaTalkHow to Ensure Your Model Does Not Drift? From Human-In-The-Loop Concept to Building Fully Adaptive Ml Models Using Crowdsourcing ML & MLOps—
Felipe HoffaSnowflakeTalkThe Story of DevRel at Snowflake: How We Got Here Strategy & culture—
Frank McSherryMaterializeTalkHow to Build a Streaming Database in Three Challenging Steps Streaming—
Gaurav RaoAtScaleTalkA New Era of Applied AI: How to Accelerate Enterprise Adoption of AI for Business Impact Strategy & culture—
Greg JohnsonGlossGeniusTalkBuilding a Business Review Program from Scratch Strategy & culture—
Gunnar MorlingDecodableTalkETL with Change Data Capture in 30 Minutes Data engineering—
Gunnar MorlingDecodableTalkChange Data Streaming Patterns With Debezium & Apache Flink Streaming—
Hamel HusainParlance LabsTalkInnovating on Software Development Other—
Ian SchweerRiot GamesTalkMLOps for League of Legends - Heimerdinger Toolbelt ML & MLOps—
Ian WhitestoneSELECTTalkThe Missing Manual: Everything you need to know about Snowflake optimization Warehouse & lakehouse—
Idan GazitGitHubTalkDesigning for Intelligence at GitHub Next: Patterns and Practices for Making AI-powered Products GenAI & agents—
Ivan AguilarTeleskopeTalkContinuous Data Pipeline for Real-time Benchmarking & Data Set Augmentation Data engineering—
J.J. AllairePositTalkPublishing Jupyter Notebooks with Quarto Data science—
Jean-Pierre TroumbueTalkBuilding a better world with AI, one architectural drawing at a time GenAI & agents—
Jeffrey ChouSync ComputingTalkHow to Optimize Apache Spark Cloud Clusters for Cost and Runtime Goals with Sync Computing Infrastructure & cost—
Jordan TiganiMotherDuckTalkBig Data is Dead Strategy & culture—
Julian HydeGoogleTalkCubing and Metrics in SQL, oh my! Analytics engineering—
Julien Le DemDatadogTalkTen years of building open source standards: From Parquet to Arrow to OpenLineage Community & projects—
Kartik NagappaSync ComputingTalkHow to Optimize Apache Spark Cloud Clusters for Cost and Runtime Goals with Sync Computing Infrastructure & cost—
Katie BauerGlossGeniusTalkBuilding a Business Review Program from Scratch Strategy & culture—
Katie HindsonLightdashTalkData Products Aren't Just for Data Teams! Strategy & culture—
Katrina RiehlNumFOCUSTalkBehind the Curtain: What it Takes to Support the World's Most Popular Open Source Communities Community & projects—
Kurt SteckelCensusTalkLike Legos, but better: An interactive workshop on the building blocks of user segmentation with reverse ETL Data engineering—
Kyle EatonGreat ExpectationsTalkTeamwork Makes the (Open Source) Dream Work: the Power of Cross-community Collaboration Community & projects—
Kyle KirwanBigeyeTalkIncident Management for Data People Data quality & observability—
Lauren ReederSequoia CapitalTalkHow Investors Think About Data Strategy & culture—
Leigh Marie BraswellFounders FundTalkHow Investors Think About Data Strategy & culture—
Maddie SchultsCrisis Text LineTalkConversation Simulator: A Real Life Case Leveraging OpenAI's API GenAI & agents—
Mady ManthaHappypillarTalkThis App Ends Tantrums: How ML, NLP, and Five Minutes of Playtime Help Parents, Caregivers, and Children Enjoy Life Together ML & MLOps—
Maggie HaysAcryl DataTalkURGENT! Help these Pets Find Homes: Working Across Teams in DataHub Governance & security—
Maggie HaysAcryl DataTalkTeamwork Makes the (Open Source) Dream Work: the Power of Cross-community Collaboration Community & projects—
Margi DubalFreeWheelTalkHow Freewheel Processes Billions of Ad-tech Events in Real-time Streaming—
Mark GroverStemmaTalkFeed The Alligators With the Lights On: How Data Engineers Can See Who Really Uses Data Strategy & culture—
Mateo García, PhDCrisis Text LineTalkConversation Simulator: A Real Life Case Leveraging OpenAI's API GenAI & agents—
Matt ForrestCARTOTalkUsing Spatial Indexes to perform geospatial analytics at massive scale Database internals—
Matt HousleyTernary DataTalkThe End of History? Convergence of Batch and Realtime Data Technologies Data engineering—
Matthew TopolVoltron DataTalkMaking Moves with Arrow Data: Introducing Arrow Database Connectivity (ADBC) Database internals—
Max MergenthalerNixtlaTalkHierarchical Forecasting in Python Data science—
Meredith AdlerHightouchTalkHow to Make Marketing Fall In Love with Data Modeling Analytics engineering—
Mikiko BazeleyFeatureformTalkThe Fun-Sized MLOps Stack from Scratch ML & MLOps—
Nan DingUberTalkScaling Uber Metric System from Elasticsearch to Pinot Operational databases—
Niall WoodwardSELECTTalkThe Missing Manual: Everything you need to know about Snowflake optimization Warehouse & lakehouse—
Noelle SaldanaData Science & AnalyticsTalkHot Takes and Tragic Mistakes: How (not) to Integrate Data People in Your App Dev Team Workflows Strategy & culture—
Pardis NoorzadGeneral FoldersTalkThe state of cross-company data exchange Governance & security—
Paul BlankleyZenlyticTalkLLM’s & Semantic Layer: Self-serve has Entered the Chat BI & semantic layer—
Paul LoganAcryl DataTalkURGENT! Help these Pets Find Homes: Working Across Teams in DataHub Governance & security—
Pete SoderlingAI Council & Zero Prime VenturesTalkHow Investors Think About Data Strategy & culture—
Peter LenzNearTalkEverything I Know About Data Science I Learned From Model Railroading Data science—
Rick SaportaEnteraTalkData Product Success: Aligning with Data's Core Purpose - A Framework for Data Product Management for Increasing Adoption & User Love Strategy & culture—
Robert YiHyperqueryTalkHow to Be a 10x Analyst Strategy & culture—
Ron GreenmbueTalkBuilding a better world with AI, one architectural drawing at a time GenAI & agents—
Sarah NagySeek AITalkGenerative AI and the Natural Language Interface for Data GenAI & agents—
Shir ChorevDeepchecksTalkWhy People Started Testing Their Models and Data in CI / CD Pipelines Data quality & observability—
Taylor MurphyMeltanoTalkFrom 1 to IPO: Growing the Data Team and Data Culture at GitLab Strategy & culture—
Thomas Mickley-DoyleVercelTalkHow Vercel Builds Dozens of Metrics from One Heterogenous Table Analytics engineering—
Timo WaltherConfluentTalkCDC Stream Processing with Apache Flink Streaming—
Timothy ChanStatsigTalkScaling Experimentation to 20 Billion Users Data science—
Tino TereshkoMotherDuckTalkData Warehouses are Gilded Cages. What Comes Next? Warehouse & lakehouse—
Tristan ZajoncContinualTalkGenerative AI for Product Builders GenAI & agents—
Vino DuraisamyTreeverseTalkBuilding an ML Experimentation Platform for Easy Reproducibility ML & MLOps—
Wesley FaulknerAmazon Web ServicesTalkCreating the Right Developer Community for Your Company Strategy & culture—
Yaniv Ben HemoMemphisTalkGovern Your Data Clients - the Right Way to Scale Governance & security—
Yupeng FuUberTalkScaling Uber Metric System from Elasticsearch to Pinot Operational databases—
Zachary KleinWhatnotTalkData Contracts in the Modern Data Stack Data quality & observability—
Zander MathesonBytewaxTalkGetting Real(-Time): When to move from Batch to Streaming (and how to do it without hiring an entirely new team) Streaming—

Sources