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Conferences / Data Summit (DBTA)

Data Summit 2022

May 16–18, 2022 · Hyatt Regency Boston, Boston, MA, United States

Conference
Data Summit (DBTA) Vendor & industry
Dates
May 16, 2022 – May 18, 2022
Venue
Hyatt Regency Boston
Place
Boston, MA, United States
Format
In person
Status
Past
Attendance
—
Website
dbta.com
Recorded
37 sponsors · 65 speaker appearances
Notes
Return to Boston; workshops May 16, conference May 17-18. 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

TicketPriceValid untilNotesSource
Full Two Day Conference Pass (early)$995Apr 15, 2022dbta.com
All Access Pass (early)$1,295Apr 15, 2022dbta.com
Full Two Day Conference Pass (after 4/15)$1,095—dbta.com
All Access Pass (after 4/15)$1,395—dbta.com

Sponsors 37

Title / headline 3

  • AtScale · Diamond Keynote Sponsors
  • ChaosSearch · Diamond Research & Keynote Sponsor
  • Neo4j · Diamond Keynote Sponsors

Platinum 17

Gold 12

Media 5

Speakers and talks 65

SpeakerCompanyRoleTalkLinks
Laura Sebastian-ColemanPrudential FinancialKeynoteKeynote: Data Quality Deniers & What We learn From Them—
Wayne EckersonEckerson GroupKeynoteClosing Keynote: Data Architecture as a Service: The Culmination of the Self-Service Revolution—
Alex JohnsonPlotlySpeakerThe Physics of Data—
Andrew C. OliverMariaDBSpeakerScaling Both Writes and Reads with Distributed SQL—
Ashwin RamachandranPreciselySpeakerMaking the Case for Legacy Data in Modern Data Analytics Platforms—
Bashyam AnantSumo LogicSpeakerAccelerating Your DevOps Journey With ML—
Brian GilmoreInfluxDataSpeakerRethinking the Database in the IoT Era—
Brian O'NeillDesigning for AnalyticsSpeakerTechnically Right, Effectively Wrong: How to Avoid Creating the ML or Analytics Application No Customer Wants to Use—
Chandrakant MaheshwariNew York Community BankSpeakerApplication of Advanced Analytics in Anti-Money Laundering—
Charna ParkeyKaskadaSpeakerFinally, Realize Business ROI From ML: Unleash Your Event-Based Data—
Charna ParkeyKaskadaWorkshopW3. Basics of Machine Learning—
Chris BerghDataKitchenSpeakerBuilding the Business Case for DataOps—
Clive BearmanQlikSpeakerData Architecture Smackdown! Tag teaming Data Fabric, Hub and Mesh for an epic ML and DataOps Battle Royale—
Damien MahuzierIndeximaSpeakerThe Chief Data Officer Analytic Dilemma—
David ArmlinChaosSearchSpeakerLearn, Unlearn, Relearn: Embracing the Future of Cloud Analytics—
Don SullivanBroadcomSpeakerBeware Software License Trolls, the New Danger—
Doug LaneyUniversity of Illinois Gies College of BusinessSpeakerWelcome & Opening Keynote: Data Is Not the New Oil—
Enguerand AcquaroneGroupe Galeries LafayetteSpeakerOur MLOps Strategy at Galeries Lafayette—
Gurpinder DhillonDun & BradstreetSpeakerData-Driven: Don't Run Before You Can Walk—
Harish SrigirirajuVerizonSpeakerHow to Use In-App Ratings to Personalize and Improve Your User Experience—
Hugh ThaiArbella Insurance GroupSpeakerConsciously Transforming Your Enterprise—
Inessa GerberDenodoSpeakerWeaving Logical Data Fabric Across the Enterprise—
James SerraMicrosoftSpeakerData Lakehouse, Data Mesh, & Data Fabric (the Alphabet Soup of Data Architectures)—
Jason HallQuestSpeakerDataOps Is Coming: How Do We Unlock Its Potential?—
Jason HallQuestSpeakerHow Data Professionals Can Participate in DevOps—
Jay YuTigerGraphSpeakerDriving Business Outcomes With Graph Database & AI—
Jean NoutouaFederal Reserve Bank of San FranciscoSpeakerBig Data Architecture—Mesh Anyone?—
Jeff FriedInterSystemsSpeakerEnabling Real-Time Analytics With Proactive Data Management—
Jeff JockischData Collaboration AllianceWorkshopW1. Essentials of Data Privacy and Security—
Joey JablonskiPythianSpeakerFinding the Hidden Value in Data Lakes—
John ElstermeyerArbella Insurance GroupSpeakerConsciously Transforming Your Enterprise—
John LynchAtScaleSpeakerUsing A Semantic Layer To Drive AI & BI Impact At Scale—
Jorge AnicamaDatavailSpeakerHow Do I Know My Machine Learning Data Model Is Good?—
Joseph HilgerEnterprise KnowledgeWorkshopW2. Introduction to Knowledge Graphs—
Kaladhar VorugantiEquinixSpeakerThe Era of Distributed AI Architectures—
Kathi KellenbergerRedgateSpeakerWhat Is DevOps & Why Should DBAs Care?—
Kathy SchneiderKXSpeakerUnlocking Business Value With Real-time Data Analytics—
Kelsey NaschekOneTrustSpeakerTrends in Trusted Data—
Kevin CampbellSynitiSpeakerEvery Problem Is a Data Problem: How Bad Data Is Killing Your Business—
Kunal AgarwalUnravel DataSpeakerExploiting the Multi-Cloud Opportunity With DataOps—
L. Ney LugoCTI DataSpeakerDataOps: Leveraging Learnings From the DevOps Value Chain—
Manish KalraSwimSpeakerAutomating Business Decisions With Continuous Intelligence Using Event Streams—
Marilyn Moise RousseauBaptist Health South FloridaSpeakerHow to Create and Sustain a High-Performing Remote Data Team—
Mark LyonsDremioSpeakerBuilding the Open Data Lakehouse—
Matt FullerStarburstSpeakerAccelerate Data Mesh With First-Class Data Products—
Matthew HolzapfelTamrSpeaker5 Reasons DataOps Will Fail—And Why It Might Not—
Michael CoreyLicenseFortressSpeakerBeware Software License Trolls, the New Danger—
Navinder Pal Singh BrarWalmartSpeakerCustomer 360 in a Box—
Paige Roberts—SpeakerUnifying Analytics—Changing Data Architecture to Unite BI & Data Science—
Paul Scott-MurphyWANdiscoSpeakerSolving the IoT Data Management Puzzle With Gateways to the Cloud—
Phil FershtHFS ResearchSpeakerEvery Problem Is a Data Problem: How Bad Data Is Killing Your Business—
Richard WinterTDWI (tdwi.org)SpeakerHow to Select Your Cloud Data Warehouse Platform Strategically—
Sanji FernandoOptumSpeakerInsights for Unlocking the Potential of AI in Healthcare—
Sara NashEnterprise KnowledgeWorkshopW2. Introduction to Knowledge Graphs—
Stewart BrysonQualyticsSpeakerMapping Data Quality Concerns to Data Lake Zones—
Sudha ViswanathanWayfairSpeakerGaining Insights From Clickstream Data—
Thomas HazelChaosSearchSpeakerHow to Choose: Data Lake, Lakehouse, or Mesh?—
Tom HoblitzellDatavailSpeakerUnwieldy Tech While Developing a Common Strategy:How the CIO of a P&C Insurance Company Tackled Its Data Strategy—
Tom HoblitzellDatavailSpeakerJourney to Cloud Analytics: How Companies’ Analytics Challenges Can be Solved by Moving to the Cloud—
Tom WildeIndico DataSpeakerStrategies for Unlocking Enterprise Value—
Tushar MehrotraOptumSpeakerInsights for Unlocking the Potential of AI in Healthcare—
Umesh HodeghattaNortheastern UniversitySpeakerAddressing Data Privacy in AI & Machine Learning Projects—
Vincent LamCData SoftwareSpeakerAccelerating the Move to the Cloud with Real-time Connectivity—
Vincent SassoProperty & Casualty Insurance CompanySpeakerUnwieldy Tech While Developing a Common Strategy:How the CIO of a P&C Insurance Company Tackled Its Data Strategy—
Wayne EckersonEckerson GroupWorkshopW4. Build Actionable Road Maps for Enterprise Data and Analytics—

Sources