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Conferences / Data Day Texas

Data Day Texas + AI 2024

Jan 27, 2024 · AT&T Hotel and Conference Center (University of Texas at Austin), Austin, TX, United States

Conference
Data Day Texas Vendor & industry
Dates
Jan 27, 2024
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
24 sponsors · 63 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. Branded "Data Day Texas + AI" on Eventbrite from 2024. Sponsors labelled as topical "partners" without metal tiers (tier_normalized other unless the label says gold).

Ticket prices

TicketPriceValid untilNotesSource
Super early bird (through 6/1)$265Jun 1, 2023Face value derived from the listed $279.25 incl. Eventbrite fees.web.archive.org
Group discount (3 or more)$210—Face value before Eventbrite fees.web.archive.org
Registration$495—Face value before Eventbrite fees.web.archive.org

Sponsors 24

Gold 1

Community 4

Other 19

Speakers and talks 63

SpeakerCompanyRoleTalkLinks
Amy HodlerGraphGeeksKeynotePatterns of Power: Uncovering control points to influence outcomes—
Jans AasmanFranz IncKeynoteBeyond Human Oversight: The Rise of Self-Building Knowledge Graphs in AI—
Jesse AndersonBig Data InstituteKeynoteThe State of Data Engineering ... and not repeating history—
Jessica TalismanAmazon Web ServicesKeynoteWhat Data Architects and Engineers can learn from Library Science—
Mikiko BazeleyLabelboxKeynoteMLOps: Where do we go from here?—
Sol Rashidi—KeynotePractitioner turned Executive; what caught me by surprise & lessons I learned about how decisions are really made with data ecosystems—
Susan Shu ChangElasticKeynoteDistilling the meaning of language: How vector embeddings work—
Aaron WilkersonCarharttSpeakerYou need to be more strategic - The mantra for data leader career growth—
Adi Polak—SpeakerDemystifying the next advancements of LLMs: RAG: Retrieval-augmented generation—
Alex MercedDremioSpeakerExploring the Apache Iceberg Ecosystem—
Alex MercedDremioSpeakerThe Ins & Outs of Data Lakehouse Versioning at the File, Table, and Catalog Level—
Amy HodlerGraphGeeksSpeakerCausality: The Next Frontier of GenAI Explainability (90 minute hands-on)—
Andy PetrellaKensuSpeaker——
Brian GreeneNeuronSphereSpeakerHow polyglot storage cost me a job, almost killed data modeling, (and started my quest for one data model to rule them all)—
Chris TabbLEIT DATASpeakerData-Driven Transformation: Building a Business Value Machine—
Clair SullivanClair Sullivan and AssociatesSpeakerEnsuring Success for your Data Team—
David HughesGraphableSpeakerAccelerating Insights with Memgraph and GraphXR: A Unified Approach to Graph Database Analytics and Visualization—
David HughesGraphableSpeakerAdvancing Graph Data Insights through a Graph Query Engine: PuppyGraph—
Dipankar MazumdarOnehouseSpeakerOneTable: Interoperate between Apache Hudi, Delta Lake & Apache Iceberg—
Greg Coquillo—SpeakerI am an AI Product Manager, Am I Not?—
Hala NelsonJames Madison UniversitySpeakerMy Attempt To Build a Foundation for AI and Data—
Holden Karau—SpeakerUsing LLMs to Fight Health Insurance Denials: From Data Synthesis to Production—
Hubert DulayStarTreeSpeakerIntroduction to the Streaming Plane: Bridging the Operational and Analytical Data Planes—
Janet SixTom Sawyer SoftwareSpeakerDiscover Insights in a Large Multi-Decade Life Sciences Database Through Data Visualization and Analysis—
Jess HabermanAnacondaSpeakerTen Simple Rules for Writing a Technical Book—
Joe ReisTernary DataSpeakerBridging the Gap: Enhancing Collaboration Between Executives and Practitioners in Data-Driven Organizations—
Jonathan EllisDataStaxSpeakerUnder the hood of vector search with JVector—
Jonathan MuganDeUmbraSpeakerSurvey of recent progress in intelligent robotics—
Jonathan MuganDeUmbraSpeakerPractical Large Language Models: Using LLMs in Your Business With Python—
Juan Sequedadata.worldSpeakerThe Role of Knowledge Graphs for LLM accuracy in the Enterprise—
Juan Sequedadata.worldSpeakerPast, Present and Future of Data Catalogs—
Juha KorpelaDatakor ConsultingSpeakerConceptual Modeling - a practical way to capture business needs for data products—
Lindsay MurphySecodaSpeakerCost containment: Scaling your data function on a budget—
Malcom HawkerProfiseeSpeakerData Product Chaos—
Marko BudiselicMemgraphSpeakerQuerying a Graph Through an LLM—
Matthew HousleyTernary DataSpeaker——
Matthias BroechelerDataSQRLSpeakerWe decomposed the database - now what?—
Megan LieuDeepnoteSpeakerEvolving as a Data Scientist in the age of AI—
Michelle YiWomen in DataSpeakerBuilding Generative AI Applications: An LLM Case Study—
Michelle YiWomen in DataSpeakerCausality: The Next Frontier of GenAI Explainability (90 minute hands-on)—
Paige Roberts—SpeakerWhen linear scaling is too slow – strategies for high scale data processing—
Peter BonczMotherDuckSpeakerAn abridged history of DuckDB: database tech from Amsterdam—
Ron ItelmanIntelligence.AISpeakerData Products: The Value of Simplicity—
Roopa TangiralaClickHouseSpeakerFrom Open Source to SaaS: The ClickHouse Odyssey—
Roy HassonUpsolverSpeakerBattle of the warehouses, lakehouses and streaming DBs, choose your platform wisely—
Roy HassonUpsolverSpeakerELT and ETL are not products, technologies, or features. If someone says otherwise, they are selling you something—
Ryan BoydMotherDuckSpeaker——
Ryan Dolley—Speaker——
Ryan MitchellGerson Lehrman GroupSpeakerManaging Competing AI Decisions in Large Ontologies—
Ryan WisneskyConexusSpeakerComputational Trinitarianism—
Ryan WisneskyConexusSpeakerExpert Systems are Generative AIs—
Santona TuliUpsolverSpeakerData Quality Skepticism—
Satoru HayasakaKNIMESpeakerLLMs In a Low-Code Environment – Is it Possible?—
Scott FincherKNIMESpeakerLow-Code Data Analysis with the KNIME Analytics Platform—
Sean RobinsonGraphableSpeakerLLMs for Enhanced ETL into Graph—
Sean RobinsonGraphableWorkshopIntroduction to Graph Data Science in Python: Leveling Up Your Data Science Toolbelt—
Shane MurrayMonte CarloSpeakerData's Product Pivot: The Reliability Imperative—
Sol Rashidi—SpeakerBridging the Gap: Enhancing Collaboration Between Executives and Practitioners in Data-Driven Organizations—
Tom ZeppenfeldtGraphileonSpeakerEnhancing low-code with graph, vector and AI—
Veronika DurginSaksSpeakerOn the Data Highway: Is Data Vault Speedy or Reckless?—
Vish PuttaguntaPower CentralSpeakerBuilding a Resilient Food Supply Chain with Neo4J and Graphileon—
William FirthMicrochipSpeakerQuerying a Graph Through an LLM—
William LyonWherobotsSpeakerGeospatial Analytics With Apache Sedona In Python, R & SQL—

Sources