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Conferences / O'Reilly Artificial Intelligence Conference

O'Reilly Artificial Intelligence Conference San Jose 2019

Sep 9–12, 2019 · San Jose McEnery Convention Center, San Jose, CA, United States

Conference
O'Reilly Artificial Intelligence Conference Data science & ML
Dates
Sep 9, 2019 – Sep 12, 2019
Venue
San Jose McEnery Convention Center
Place
San Jose, CA, United States
Format
In person
Status
Past
Attendance
—
Website
conferences.oreilly.com
Recorded
36 sponsors · 16 speaker appearances
Notes
Training first two days, keynotes and sessions last two days. Speakers: keynotes only (190 speakers listed); titles from speaker pages, sponsored keynotes included. Tier mapping (as for strata): Presented by (Intel AI; O'Reilly omitted), Elite -> title; Strategic -> platinum; Contributing -> gold; Exabyte -> silver; Impact -> bronze; Business Summit, Diversity & Inclusion, Premier Exhibitor Plus, Exhibitors -> other; Community Partners -> community. Prices not found.

Ticket prices

No ticket prices recorded

Sponsors 36

Title / headline 3

Platinum 2

Bronze 4

Community 4

Other 23

Speakers and talks 16

SpeakerCompanyRoleTalkLinks
Ananth SankaranarayananIntelKeynoteAccelerate with purpose—
Andrew FeldmanCerebrasKeynoteEnabling AI’s potential through wafer-scale integration—
Andrew ZaldivarGoogleKeynoteAI transparency: A brief overview of frameworks for transparent reporting of AI provenance, usage, and fairness-informed evaluation—
Ben LoricaO'ReillyKeynoteWednesday Opening Welcome—
Daniel RussakoffVoxeleronKeynoteAI for ophthalmology: Doing what doctors can’t (sponsored by Dell Technologies)—
Dinesh NirmalIBMKeynoteUnlocking the value of your data (sponsored by IBM Watson)—
Eric GardnerIntelKeynoteGetting from A to AI—
Julie Shin ChoiIntelKeynoteWednesday Opening Welcome—
Kenneth StanleyUberKeynoteOpen-endedness: A new grand challenge for AI—
Lei PanNautoKeynoteSafe and smarter driving, powered by AI (sponsored by Amazon Web Services)—
Michael JordanUC BerkeleyKeynoteOn gradient-based methods for finding game-theoretic equilibria—
Roger ChenComputableKeynoteWednesday Opening Welcome—
Sahika GencAmazon Web ServicesKeynotePractical insights into deep reinforcement learning—
Sarah BirdMicrosoftKeynoteDeveloping AI responsibly—
Srinivas NarayananMetaKeynoteGoing beyond fully supervised learning—
Triveni GandhiDataikuKeynoteThe moral responsibility of AI builders (sponsored by Dataiku)—

Sources