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Conferences / Disney Data & Analytics Conference

DDAC 2023

Aug 14–16, 2023 · Disney's Coronado Springs Resort, Lake Buena Vista, FL, United States

Conference
Disney Data & Analytics Conference Vendor & industry
Dates
Aug 14, 2023 – Aug 16, 2023
Venue
Disney's Coronado Springs Resort
Place
Lake Buena Vista, FL, United States
Format
In person
Status
Past
Attendance
—
Homepage: 'nearly 2,000 executives, managers, and analysts representing more than 250 organizations' (generic marketing copy).
Website
archive.disneydataconference.com
Recorded
52 sponsors · 47 speaker appearances
Notes
Aug 14 Training Day (Data Visualization and Storytelling; Correlation vs Causation), main conference Aug 15-16. Speakers and sponsors from the official post-event archive site (archive.disneydataconference.com/2023); affiliations derived from titles; abstracts truncated. Joint sponsor entries ('Starburst Data and Dell', 'Deloitte and NVIDIA', 'Google and Accenture') split into separate companies at the shared tier.

Ticket prices

TicketPriceValid untilNotesSource
Training Day course add-on$750—Per course; conference registration requiredweb.archive.org
Group 3+ per person$2,449—web.archive.org
Individual$2,699—web.archive.org

Sponsors 52

Title / headline 2

Other 24

Speakers and talks 47

SpeakerCompanyRoleTalkLinks
Anthony DinaDell TechnologiesKeynoteUnveiling Hidden Value from Dark Data with Hybrid Analytics—
Chris DeAppolonioEvil GeniusesKeynoteArtificial Intelligence is for Everyone—
Cyrill HugHewlett Packard EnterpriseKeynoteArtificial Intelligence is for Everyone—
Martin KihnSalesforceKeynoteHow AI + Data + CRM Are Transforming Customer Engagement—
Michael TschanzThe Walt Disney CompanyKeynoteFrom #BigData 2 #BigImpact - Maximize Value, Shape the Future—
Monica KumarHitachi VantaraKeynoteFrom #BigData 2 #BigImpact - Maximize Value, Shape the Future—
Ozan Varol—KeynoteReimagine the Status Quo with Moonshot Thinking—
Rick DeMareStarburstKeynoteUnveiling Hidden Value from Dark Data with Hybrid Analytics—
Shingai ManjengwaChainMLKeynoteFrom Analytics to AI: Building Successful Teams in a Rapidly Changing World—
Thomas MazloumDisney Parks, Experiences and ProductsKeynoteFrom Ear to Eternity: Using Data to Unlock Your Imagination—
Amy SardeshmukhThe Walt Disney CompanyFeaturedModeling the Magic: Attraction Optimization Through Simulation—
Andy EyherabideGlobantFeaturedUsing Generative AI to Redefine the Analytics Experience—
Aniruddha RayFactspanFeaturedData in Motion: Empowering Business Agility with Dynamic Data Pipelines—
Ari SilvaThe Walt Disney CompanyFeaturedFrom Influencers to Influencing Purchase: How to Leverage Organic Social to Amplify Media Investment—
Ashley GoughThe Walt Disney CompanyFeaturedEmbrace the Unknown: Journeys of Discovery and Reinvention—
Billie Inbal Nahum-ShaniUniversity of MichiganFeaturedTeaching Dogs New Tricks: Level Up Your Python—
Caitlin CassidyThe Walt Disney CompanyFeaturedHiring Tactics for a "Practically Perfect" Magical Team—
Cara DienesThe Walt Disney CompanyFeaturedX Marks the Spot: A Treasure Map to Find Analytics-Driven Business Value—
Chad CooperThe Walt Disney CompanyFeaturedThe Fast and the Curious: Discovering the Power of Curiosity to Create, Collaborate and Innovate—
Clare TuynThe Walt Disney CompanyFeaturedEmbrace the Unknown: Journeys of Discovery and Reinvention—
Cynthia RudinDuke UniversityFeaturedFrom Influencers to Influencing Purchase: How to Leverage Organic Social to Amplify Media Investment—
Doug TraillNVIDIAFeaturedTransforming Experiences with Generative AI - For Both Customers and Employees—
Frank PacioneSnowflakeFeaturedTurbocharging AI/ML and Building a CDP on the Snowflake Data Cloud—
Goutham BelliappaDeloitteFeaturedTransforming Experiences with Generative AI - For Both Customers and Employees—
Graham AllanDeloitteFeaturedTransforming Experiences with Generative AI - For Both Customers and Employees—
Holly StevensProduct MarketingFeaturedFrom Data to Action: Maximizing Value with Analytics and AI—
Hugh OwenMicroStrategyFeaturedFrom Data to Action: Maximizing Value with Analytics and AI—
James KeenanDisney InstituteFeaturedDisney's Foundations of Leadership Excellence—
Jay RiolaOrlando MagicFeaturedX Marks the Spot: A Treasure Map to Find Analytics-Driven Business Value—
Jeff WileyThe Walt Disney CompanyFeaturedModeling the Magic: Attraction Optimization Through Simulation—
Joni FergusonThe Walt Disney CompanyFeaturedEmbrace the Unknown: Journeys of Discovery and Reinvention—
Julie WellonsThe Walt Disney CompanyFeaturedEmbrace the Unknown: Journeys of Discovery and Reinvention—
Lisa MeyerThe Walt Disney CompanyFeaturedFrom Influencers to Influencing Purchase: How to Leverage Organic Social to Amplify Media Investment—
Luke AmbrosettiSnowflakeFeaturedTurbocharging AI/ML and Building a CDP on the Snowflake Data Cloud—
McKay CurtisThe Walt Disney CompanyFeaturedUsing Machine Learning to Help You Not Be Annoying—
Melissa YurashConvivaFeaturedReal-Time Decisioning and Data Freshness: Unleashing Your Data Superhero—
Nick WinfreyThe Walt Disney CompanyFeaturedHow Leading the Data Clean Room Revolution Landed Disney on 2023's List of Most Innovative Companies—
Paloma Sierra RiveraThe Walt Disney CompanyFeaturedEmbrace the Unknown: Journeys of Discovery and Reinvention—
Priya RamanAccentureFeaturedImplementing a Modern Data Strategy in the Age of AI—
Puneet LakhanpalSnowflakeFeaturedTurbocharging AI/ML and Building a CDP on the Snowflake Data Cloud—
Sabina SchneiderGlobantFeaturedUsing Generative AI to Redefine the Analytics Experience—
Stuart MoncadaGoogleFeaturedImplementing a Modern Data Strategy in the Age of AI—
Sushil Kumar PandeyFactspanFeaturedData in Motion: Empowering Business Agility with Dynamic Data Pipelines—
Tara WilsonThe Walt Disney CompanyFeaturedTeaching Dogs New Tricks: Level Up Your Python—
Ted FlanaganHabuFeaturedHow Leading the Data Clean Room Revolution Landed Disney on 2023's List of Most Innovative Companies—
Todd DonzelliInforFeaturedFrom Impossible to Possible: The Easy On-Ramp to AI & ML—
Wenny KatzensteinDeloitteFeaturedTransforming Experiences with Generative AI - For Both Customers and Employees—

Sources