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Conferences / The AI Summit

The AI Summit New York 2023

Dec 6–7, 2023 · Javits Center, New York, NY, United States

Conference
The AI Summit Vendor & industry
Dates
Dec 6, 2023 – Dec 7, 2023
Venue
Javits Center
Place
New York, NY, United States
Format
In person
Status
Past
Attendance
3,497
Organizer's 2023 highlights page: 'our best attended AI edition to date, that saw a staggering 3,497 attendees from 47 countries'.
Website
newyork.theaisummit.com
Recorded
57 sponsors · 48 speaker appearances
Notes
Speakers: keynotes only — Headliners Stage sessions from the archived agenda (chairs omitted). Sponsors from homepage tier wall ('Headline Partners' and 'Diamond' mapped to title). The legacy knect365 booking page (Oct 2023 snapshot) showed an 'All Access Pass' at $999, inconsistent with the event site's pricing, so it is not recorded. Expo passes sold out.

Ticket prices

TicketPriceValid untilNotesSource
Expo Pass$0Sep 30, 2023Free until 30 September; later sold outweb.archive.org
Start-Up Delegate$539—web.archive.org
Academic Delegate$539—100 passes, academic email requiredweb.archive.org
Delegate (early bird)$1,399—web.archive.org
VIP All Access (early bird)$1,999—Early-bird rate shown late Sept 2023web.archive.org

Sponsors 57

Title / headline 9

Gold 7

Silver 7

Bronze 15

Media 14

Other 5

Speakers and talks 48

SpeakerCompanyRoleTalkLinks
Adam GoldbergOpenAIKeynoteWhat does generative AI mean for business?—
Adam SmithFedEx ExpressKeynoteFedEx: Transformation in the age of AI—
Alaa MoussawiNYC CouncilKeynoteAI Ethics in the Public Sector: principles, guidelines, and problems to discuss—
Alysa TaylorMicrosoftKeynotePlatform Giant, Disruptor, and Target: Microsoft's AI Era—
Amelia DunlopDeloitteKeynoteAI x Human Experience: Applying a Human-Centered Approach to Establish Trust—
Andrew BrosnanOmdiaKeynoteAI Pillar: trends to watch in next 12 months—
Badar KhanTonomus – NEOMKeynoteAI Ethics in the Public Sector: principles, guidelines, and problems to discuss—
Bradley ShimminOmdiaKeynoteAI Pillar: trends to watch in next 12 months—
Brian DummannAstraZenecaKeynoteDo we really know what problems we are trying to solve with AI?—
Christopher AidanThe Estée Lauder CompaniesKeynoteThe promise emerging tech in the beauty industry—
Damian Fernandez-LamelaFossilKeynoteMaking GenAI Responsibly Fashionable—
Dharmesh GodhaAdvaiya SolutionsKeynoteMaking AI Work in a Real Business: Notes from the Field—
Dominique Shelton LeipzigMayer BrownKeynoteAI Ethics in the Public Sector: principles, guidelines, and problems to discuss—
Dr. Salman TaherianAmazon Web ServicesKeynoteWhat does generative AI mean for business?—
Dr. William BarryUnited States Department of DefenseKeynoteRevolutionizing Decisions: The Power of Human-IA Synergy—
Dr. William BarryUnited States Department of DefenseKeynoteGovernment Regulation: security within AI—
Hitesh WadhwaGoogleKeynoteWhat does generative AI mean for business?—
Jason ChicolaRev.ioKeynoteUnlocking Voice Data: How LLMs Will Help Large Enterprises Go Beyond The Transcript—
Jessica PerettaMastercardKeynoteAdapting your company to fast-moving technology—
Jim StrattonWorkdayKeynoteInnovating with Integrity: Responsible AI Governance—
Joel BeckermanMade Music StudioKeynoteBlack Mirror: valuing creativity in the era of generative AI—
John DuboisEYKeynoteMaking GenAI Responsibly Fashionable—
Joshua BuiltaOmdiaKeynoteAI Pillar: trends to watch in next 12 months—
Karamjit SinghMastercardKeynoteDo we really know what problems we are trying to solve with AI?—
Kelly TrindelWorkdayKeynoteInnovating with Integrity: Responsible AI Governance—
Khadija Mustafa—KeynoteMaking AI Work in a Real Business: Notes from the Field—
Laura ShactDeloitteKeynoteAI x Human Experience: Applying a Human-Centered Approach to Establish Trust—
Luke PalamaraUiPathKeynoteBetter Together: How a Blend of Generative and Specialized AI is Creating a New Frontier with High-Speed, High-Precision Business Process Automation—
Luv TulsidasTecholutionKeynoteBuilding the Enterprise of Tomorrow With Real World AI—
Malcolm CannonQuantariumKeynoteMaking AI Work in a Real Business: Notes from the Field—
Margot LowenbergLufthansa GroupKeynoteImproving workflows and establishing an AI mindset—
Nathan ChappellDonorSearchKeynoteGenerative AI: DonorSearch + DataRobot A CxO’s Must-Know Guide to Unlock Business Value—
Nicolas de BellefondsBoston Consulting GroupKeynoteOne year in: Where does GenAI really create business value?—
Noriko YokoiRed-DragonflyKeynoteMaking AI Work in a Real Business: Notes from the Field—
Oz KaranDeloitteKeynoteWhat does generative AI mean for business?—
Rashida RichardsonMastercardKeynoteAdapting your company to fast-moving technology—
Scott RosenkransDonorSearchKeynoteGenerative AI: DonorSearch + DataRobot A CxO’s Must-Know Guide to Unlock Business Value—
Sowmya GottipatiThe Estée Lauder CompaniesKeynoteDo we really know what problems we are trying to solve with AI?—
Srini KandalaSEARSKeynoteKAIros: Orchestrating AI Efficiency in Home Services, Retail, and IoT—
Srini KandalaSEARSKeynoteDo we really know what problems we are trying to solve with AI?—
Sy ChoudhuryMetaKeynoteWhat does generative AI mean for business?—
Tarun ChopraIBMKeynoteScale and accelerate the impact of AI with trusted data—
Tim DelesioTecholutionKeynoteBuilding the Enterprise of Tomorrow With Real World AI—
Vincent ChenSnorkel AIKeynoteProductionizing Enterprise GenAI with AI Data Development—
Josephine Hua PanDisneyPanelistLeader's Forum: challenging the concerns of 2024—
Magdalena KonigADNOC DistributionPanelistLeader's Forum: challenging the concerns of 2024—
Rebekah TweedAll Tech is HumanPanelistLeader's Forum: challenging the concerns of 2024—
Sarah KarthiganChevronPanelistLeader's Forum: challenging the concerns of 2024—

Sources