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Conferences / Data Day Texas

Data Day Texas + AI 2026

Jan 24, 2026 · AT&T Hotel and Conference Center (University of Texas at Austin), Austin, TX, United States

Conference
Data Day Texas Vendor & industry
Dates
Jan 24, 2026
Venue
AT&T Hotel and Conference Center (University of Texas at Austin)
Place
Austin, TX, United States
Format
In person
Status
Past
Attendance
—
Website
datadaytexas.com
Recorded
23 sponsors · 45 speaker appearances
Notes
Speakers: all sessions on the year's sessions page (includes the Graph Day / track sessions held within Data Day); affiliations as shown on the sessions page, or from the speaker bio on the speakers page when the sessions page gives none. 16th and billed as the final Data Day Texas (the official sessions page: "As Data Day Texas closes its final chapter"). Followed on Sun Jan 25 by separately ticketed "Sunday Data Discussions and Workshops" (Sunday-only sessions not recorded). Sponsors are shown as one "Patrons and Partners" wall without tiers. Ticket tiers not captured; only Eventbrite aggregate low/high prices incl. fees. Sponsorship prospectus not public (2026-partners page directs to partners@globaldatageeks.org). Lynn Bender's Aug 2026 essay gives attendance caps (1,000 in 2018-2020, 600 from 2023) but no actual 2026 headcount.

Ticket prices

TicketPriceValid untilNotesSource
Lowest ticket price (Jan 2026)$407—Eventbrite aggregate low price including fees; ticket tier names not captured.web.archive.org
Highest ticket price (Jan 2026)$707—Eventbrite aggregate high price including fees.web.archive.org

Sponsors 23

Media 3

Other 20

Speakers and talks 45

SpeakerCompanyRoleTalkLinks
Christian MilesG.V()Keynote"Who Needs a Chart When You Can Just Chat?" - the role of data visualization in a post-LLM world—
Patrick McFadinIBMKeynoteThe Skills that Matter When Everything Changes—
Winfried Adalbert Etzel—KeynoteData Governance Keynote: Existence over Essence? Data Governance in times of AI—
Aaron Black—SpeakerHow Ideas Become Books: Inside O'Reilly and Data Thought Leadership—
Adriano Vlad-StarrabbaPrometheuxSpeakerThe Enterprise of the Future Runs on Ontologies: Making AI Agents Actually Work—
Alex MercedDremioSpeakerDesigning an Apache Iceberg Lakehouse: From Requirements to a Stakeholder-Ready Architecture—
Alexandra PasiLucidity SciencesSpeakerLearning Beyond Language: A New Geometric Paradigm for Better ML—
Amalia Child—SpeakerThink Like a Librarian: Fresh Perspectives for Data Teams from a Time-Honored Tradition—
Arthur BigeardG.V()SpeakerBuilding G.V(): Why Graph Databases Desperately Need Better Tools—
Arvind PrabhakarTabsdataSpeakerI Built Pipelines. I Don’t Trust Them Anymore—
Bill Inmon—SpeakerGenerative AI and Business Value: Why Corporate Deployment Falls Short—
Casey O'NeillSequentumSpeakerAgentic AI Without the Lawsuits: What Actually Works for Web Automation—
Chris BrousseauVeoxSpeakerLocal AI Saves People (Not Clickbait)—
Ciro Greco—SpeakerAI wants to do your data engineering work for you. Should you let it?—
Clair SullivanClair Sullivan and AssociatesSpeakerYour Skills, Your Business: Layoff-Proof Your Career through Solopreneurship—
Dylan AndersonAtombitSpeakerBeyond the Tech Stack: Navigating the Complete Data Ecosystem—
Glauber CostaTursoSpeakerRewriting SQLite in Rust. Here's What We've Learned—
Hannes MühleisenDuckDB LabsSpeakerThe Joy of SQL - If Properly Implemented—
Jans AasmanFranz IncSpeakerThe Future Cognitive OS Uses a Knowledge-Based Semantic Layer—
Jean-Georges PerrinActianWorkshopHands-on Data Product: let's build a data product in 30 minutes (hands-on workshop)—
Jenna JordanRatio PBCSpeakerThink Like a Librarian: Fresh Perspectives for Data Teams from a Time-Honored Tradition—
Joe Reis—Speaker——
Jon HaddadRustyrazorblade ConsultingSpeakerStop Guessing, Start Measuring: A Decade of Database Experimentation and Tuning—
Jonathan EllisBrokkSpeakerBrokk: Context Engineering for Large Codebases—
Jonathan MuganDeUmbraSpeakerLLMs Expand Computer Programs by Adding Judgment—
Juan SequedaServiceNowSpeakerScar Tissue: Lessons from 20 Years of Building Ontologies and Knowledge Graphs—
Kierra DotsonIBMSpeakerThe Engineer's Guide to AI Strategy: Bridging the Gap Between Business and Technical Reality—
Lena HallDroid AISpeakerContext > Prompts: Context Engineering Deep Dive—
Mark Freeman IIGable.aiSpeakerCode: The Untapped Metadata Source Driving Most Data Failures—
Matthew HousleyTernary DataSpeaker——
Matthew MullinsCoginitiSpeakerDataOps Is Culture, Not a Toolchain—
Matthew SharpFlexionSpeakerHow to Hack An Agent in 10 Prompts: and other true stories from 2025—
Paul BlankleyZenlyticSpeakerAgents are eating the semantic layer—
Prashanth RaoLanceDBSpeaker——
Russell SpitzerSnowflakeSpeakerWhat Apache Iceberg is Bad At …. For Now—
Ryan Boyd—SpeakerAI for Business Analytics: the Time is Now—
Sanjeev MohanSanjMoSpeaker2026 Trends: Building Foundations That Endure—
Sarah McKennaSequentumSpeakerAgentic AI Without the Lawsuits: What Actually Works for Web Automation—
Shachar Meir—SpeakerThe $1M Data Professional—
Shane Gibson—SpeakerHow to gather data requirements in 30 minutes or less - the Information Product Canvas—
Thais Cooke—SpeakerThe Human Layer of Data: Why Trust Lives in the Work Behind the Numbers—
Tim BerglundConfluentSpeakerStreams of Future Past—
Trey Blalock—SpeakerThe Weaponization of AI, Its Impact on Organizations, and How to Respond—
Vaibhav GuptaBoundarySpeakerBuilding a new programming language in 2026 - A BAML AMA Session with Vaibhav Gupta—
Weimo LiuPuppyGraphSpeakerContext Trace/Graph: Observability for AI Agents—

Sources