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Conferences / The Texas AI Summit

The Texas AI Summit 2019

Jan 25, 2019 · AT&T Conference Center and Hotel (University of Texas at Austin), Austin, TX, United States

Conference
The Texas AI Summit Data science & ML
Dates
Jan 25, 2019
Venue
AT&T Conference Center and Hotel (University of Texas at Austin)
Place
Austin, TX, United States
Format
In person
Status
Past
Attendance
—
Website
texasaisummit.com
Recorded
17 sponsors · 16 speaker appearances
Notes
Date derived: the organizers say the Summit is 'held on the day before Data Day Texas', and Data Day Texas 2019 was on 26 January 2019 (Saturday). The archived pages never print the date. Evening talk by Martin Fowler (7pm, recorded here as keynote). Full schedule recorded (one-day, two rooms). Sponsor tiers: Presented by (Global Data Geeks, organizer, omitted); Sponsors -> other; Friends and Partners -> community; Official Video Partner -> media; accounting services provider omitted. Prices not found.

Ticket prices

No ticket prices recorded

Sponsors 17

Community 9

Media 1

Other 7

Speakers and talks 16

SpeakerCompanyRoleTalkLinks
Martin FowlerThoughtworksKeynote——
Alex DimakisUniversity of WashingtonSpeakerDeep Generative Models and Inverse Problems—
Ayin ValaFoundation for Precision MedicineSpeakerPredicting Alzheimer's: Generating neural networks to detect the neurodegenerative disease—
Cheryl MartinAlegionSpeakerAddressing Training Data Bias in Machine Learning—
Chris SachsSwimSpeakerEdge intelligence: Machine learning at the enterprise edge—
Chris ThomasDarktraceSpeakerAI-based Autonomous Response: Are Humans Ready?—
Ethan RosenthalRosenthal Data, LLCSpeakerEmpowering the Humans in the Loop by Synthesizing Machine Learning and Optimization—
Graham GanssleExperoSpeakerInterpretability of ML Systems: Can Physical Models Learn from Deep Learning?—
Graham GanssleExperoSpeakerUsing Deep Learning to Measure Objects in 3D Images—
Jonathan MuganDeep GrammarSpeakerPractical Methods for Overcoming the Machine Learning Data Bottleneck—
KC TungMicrosoftSpeakerA novel adoption of LSTM in customer touchpoint prediction problems—
Kristian HammondNarrative ScienceSpeakerData Driven Natural Language Generation: Linking Humans to the Machine with the Power of Narrative—
Mayank KejriwalUSC Information Sciences InstituteSpeakerFighting human trafficking with AI—
Numa DhamaniNew KnowledgeSpeakerCharacter-Level Convolutional Neural Networks for Semantic Classification—
Paul AzunreNew KnowledgeSpeakerCharacter-Level Convolutional Neural Networks for Semantic Classification—
Weifeng ZhongAmerican Enterprise InstituteSpeakerReading China: Predicting Policy Change with Machine Learning—

Sources