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Conferences / Data Summit (DBTA)

Data Summit 2019

May 20–22, 2019 · Hyatt Regency Boston, Boston, MA, United States

Conference
Data Summit (DBTA) Vendor & industry
Dates
May 20, 2019 – May 22, 2019
Venue
Hyatt Regency Boston
Place
Boston, MA, United States
Format
In person
Status
Past
Attendance
—
Website
dbta.com
Recorded
30 sponsors · 68 speaker appearances
Notes
Pre-conference workshops May 20; conference May 21-22. Co-located Cognitive Computing & AI Summit, Data Lake and DataOps boot camps. Speakers, affiliations and titles parsed from the conference programme page (keynotes, track sessions and workshops; for multi-talk sessions the individual talk title is used). Sponsors from the sponsor page with tiers.

Ticket prices

No ticket prices recorded

Sponsors 30

Title / headline 3

  • Gemini Data · Diamond Keynote Sponsors
  • MySQL · Diamond Keynote Sponsors
  • Pythian · Diamond Research & Keynote Sponsor

Platinum 11

Gold 4

Community 2

Media 10

Speakers and talks 68

SpeakerCompanyRoleTalkLinks
Helena DeusElsevierKeynoteDigital Transformation Is Business Transformation: How to Incorporate AI Technology Into a 130-Year-Old Company—
John O'BrienRadiant AdvisorsKeynoteCLOSING KEYNOTE - Bring It Home: How to Advance Your Analytics Strategies—
Lee LevittOracleKeynoteSponsored Keynote presented by Oracle - Information as Competitive Advantage—
Lynda PartnerPythianKeynoteSponsored Keynote presented by Pythian Group Inc. - A Big Data Reality Check: A View from the Front Lines of Data Analytics—
Matthew DeyetteGemini DataKeynoteSponsored Keynote presented by Gemini Data - The Evolution of Big Data Analytics—
Michael Stonebraker—KeynoteWelcome & Keynote - Big Data, Technological Disruption, and the 800-Pound Gorilla in the Corner—
Paul WolmeringActianKeynoteData & Donuts Presentation Sponsored by Actian Corporation—
Amy GuarinoKyndiSpeakerSolving Business Problems in Government, Financial Services—
Anne BuffSASSpeakerEthics, Data Ownership, & Privacy in Data Science—
Arnab BanerjeeInfosysSpeakerBlockchain-Based Anti-Counterfeit & Identity Solutions—
Babak KhosravifarSquare EnixSpeakerUser Behavior Data Analysis in R & Python—
Badal ShahFannie MaeSpeakerFannie Mae’s Journey to a Data-Driven Organization—
Bill WalrondCasertaWorkshopW3. Data Science Best Practices—
Bob Kasenchak—SpeakerFrom Structured Text to Knowledge Graphs: Creating RDF Triples From Published Scholarly Data—
Chelsey H HillMontclair State UniversityWorkshopW1. Machine Learning Best Practices—
Chris MathiasCasertaWorkshopW3. Data Science Best Practices—
Christopher P BerghDataKitchenSpeakerHow to Succeed with DataOps Today—
Craig S. MullinsInc. and IBM Gold ConsultantSpeakerDatabase Trends 2020—
Danil ZburivskyPythianSpeakerDismantling Data Silos Through Cloud Integration—
David BayerCognitive Computing ConsortiumPanelistCS204. PANEL: Ethical Considerations of AI Technologies—
David BayerCognitive Computing ConsortiumWorkshopW4. Cognitive Computing 101—
David LeichnerSQreamSpeakerAccelerating Analytics in a New Era of Data—
David Weinberger—SpeakerHow Machine Learning Is Changing the Future as a Fact and as an Idea—
Don SpauldingVerizonSpeakerAI-Driven CX—
Don SullivanBroadcomSpeakerStraight Talk on the Cloud License Landscape—
Ganes KesariGramenerSpeakerHow to Build Data Science Teams that Deliver Business Value—
Gil IrizarryBasisSpeakerAI for Good: AI, Bad Guys, & Messy Data—
Hadley ReynoldsCognitive Computing ConsortiumSpeakerHow Machine Learning Is Changing the Future as a Fact and as an Idea—
James Lewis—WorkshopW3. Data Science Best Practices—
Jason BrownActifio Inc.SpeakerPowering the Data-Driven Enterprisse—
Jason HallQuestSpeakerQuest's Solutions for Database Management and Replication—
Jay BenedettiCloverDXSpeakerCloverDX: Enabling Robust Integration Strategies—
Jeff CrumeIBMSpeakerThe Dark Side of the Internet of Things—
Jeff FriedInterSystemsSpeakerUnderstanding Database Containerization—
Joe CarrollInterSystemsSpeakerUnderstanding Database Containerization—
Ken BakunasWayfairSpeakerChasing Real-time Decision-Making with No-SQL at Scale—
Kevin PetrieAttunitySpeakerFive Key Requirements for DataOps Success—
Kevin PetrieAttunitySpeakerEnabling the Real-Time Enterprise—Data Lakes, Streaming, & the Cloud—
Kimberly NevalaSASSpeakerApplied Analytics: From BI to AI—
Krishnan RamanLinkedInSpeakerTackling Data Ingestion Challenges at LinkedIn With Apache Gobblin—
Lakshman BulusuQteriaSpeakerUsing Deep Learning for Recommender Systems—
Lynda PartnerPythianSpeakerThe Data Warehouse Is Dead—
Mark CoffeyGasBuddySpeakerMind the Gap: How Location Data Connects Consumers’ Online & Offline Journeys—
Mark MarinelliTamrWorkshopW2. Data Ops 101—
Mark MarinelliTamrSpeakerTransformational Analytic Outcomes Through DataOps—
Michael CoreyLicenseFortressSpeakerStraight Talk on the Cloud License Landscape—
Oleg KondrashovEnCataSpeakerHow to Implement a Machine Learning Algorithm in Lean Production—
Omkar JoshiUberSpeakerUber’s Hadoop Data Ingestion and Dispersal Framework—
Ori RafaelUpsolverSpeakerBuilding a Data Lake in Two Weeks Without Writing Code—
Padmesh Kankipati—SpeakerModern Data Platforms & Application Architecture—
Paige RobertsVerticaSpeakerRiding the Waves of Big Data Disruption: Machine Learning, Cloud Analytics, IoT, and More—
Paul WolmeringActianSpeakerDiving Under the Hood of Actian Avalanche, a Gen III Cloud Data Warehouse—
Polina ReshetovaEastBanc TechnologiesSpeakerAI On the Edge—
Prakriteswar SantikaryERTSpeakerDesigning a Fast, Scalable Data Platform—
Richard ShermanAthena IT SolutionsSpeakerDesigning a Data Architecture for Modern Business Intelligence & Analytics—
Richard ShermanAthena IT SolutionsPanelistC103. PANEL: Data Lakes: Challenges and Opportunities—
Robin Rappaportand Statistics)SpeakerFlipping the 80/20 Rule of Data Prep and Analysis—
Sara RobinsonGoogleSpeakerExploring Machine Learning on the Google Cloud Platform—
Sean MartinCambridge SemanticsSpeakerExploiting Enterprise Data for Transformational Projects—
Sean MartinCambridge SemanticsPanelistC103. PANEL: Data Lakes: Challenges and Opportunities—
Seth EarleyEarley Information ScienceSpeakerNo AI Without IA—
Shelly BrownBooz Allen HamiltonSpeakerADAPT+C: A Framework for Building a Data-Driven Organization—
Steven CohenBasisPanelistCS204. PANEL: Ethical Considerations of AI Technologies—
Subhayan DasBristol Myers SquibbSpeakerData Discovery, Selection, and Provisioning—
Susan E. FeldmanSynthexis and Cognitive Computing ConsortiumWorkshopW4. Cognitive Computing 101—
Susan E. FeldmanSynthexis and Cognitive Computing ConsortiumPanelistCS204. PANEL: Ethical Considerations of AI Technologies—
Tom WildeIndico DataPanelistCS204. PANEL: Ethical Considerations of AI Technologies—
Wolf RuzickaEastBanc TechnologiesSpeakerAI On the Edge—

Sources