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Conferences / MIT CDOIQ Symposium

20th Annual CDOIQ Symposium

Jul 21–23, 2026 · Hyatt Regency Cambridge, Cambridge, MA, United States

Conference
MIT CDOIQ Symposium Vendor & industry
Dates
Jul 21, 2026 – Jul 23, 2026
Venue
Hyatt Regency Cambridge
Place
Cambridge, MA, United States
Format
Hybrid
Status
Past
Attendance
—
Organizer home-page counter: '2500 Expected Attendees' (pre-event; includes virtual attendees).
Website
2026cdoiq.org
Recorded
20 sponsors · 159 speaker appearances
Notes
Held on-site at the Hyatt Regency Cambridge (GovCDOIQ lists it as a hybrid event; livestream on Whova). Speakers: full Whova agenda, including the pre-symposium Agentic Data Quality certificate sessions on 20 July; talk_title is the session name. One Tier-3 logo without a link was not identified, so coverage is partial. Sponsor packages (speaking slot, booth, registrations) are offered on request; no prices published.

Ticket prices

No ticket prices recorded

Sponsors 20

Platinum 4

Gold 11

Silver 3

Media 1

Other 1

Speakers and talks 159

SpeakerCompanyRoleTalkLinks
Ajay KumarGoogleSpeakerSession 4-B: The Data Lifecycle Control Plane: Governing Agentic AI at Machine Speed—
Alan JacobsonAlteryxSpeakerSession 12-D: Unstructured data killed my AI agent. Now what?—
Alok PrasadTiE AngelsModeratorSession 14-B: Data Investments in the AI World – Where are Early-Stage Investors Investing?—
Amin VenjaraADPSpeakerSession 3-B: Value = Data + Capabilities: A Field Guide to Product-Led Data Platforms—
Amit ShivpujaWalmartSpeakerSession 3-A: Preparing Enterprises for Agentic AI, What CDO's Must Redesign Now—
Amy LenanderCapital OneSpeakerSession 12-A: Doubling Down on Data Products to Drive the Business—
Andy GhosalJPMorgan ChasePanelistSession 4-A: AI in Financial Services: What’s Actually Working (and What Isn’t)—
Angela Chen—SpeakerSession 15-E: Evolving IT Leadership: How CDOs Become CIOs to Build Resilient Organizations—
Ansh KanwarReltioSpeakerSession 4-D: The Missing Layer: Context Intelligence for Agentic AI—
Anthony DeightonTamrSpeakerSession 10-B: The Basis for AI Success: How Iron Mountain Built Confidence in Its Data to Fuel Agentic Workflows—
Art MoralesCSLPanelistSession 15-D: Thinking Beyond the Pilot: What it Takes to Scale AI—
Arvind MuraliiOPEX TechnologiesSpeakerSession 5-B: Your AI confidently gives you incorrect answers... Because it has no CONTEXT.—
Ashish NachaneDavid YurmanPanelistSession 15-D: Thinking Beyond the Pilot: What it Takes to Scale AI—
Ashley Nelle DavisData FoundationPanelistSession 13-E: Synergy of Driving Forces in Data Leadership for the Next Twenty years—
Azhar RahmanNC Department of Information TechnologyModeratorSession 8-E: How Organizations are Currently Governing Data and AI: What’s Working and What’s Not—
Bao NguyenAdobeSpeakerSession 15-A: Why most enterprise retention metrics fail — and what CDOs must standardize to unlock reliable growth analytics—
Barbara CohnXentity CorporationSpeakerSession 6-E: The Human Algorithm: People, Policy, and Decisions in an AI Era—
Bhagyesh PhanseHumanaPanelistSession 11-C: The CDO Role: 20 Years Later -- Why Organizations Need a Chief Data, Analytics, & AI Officer—
Bill SniderNationwideSpeakerSession 7-A: Trusted Data Score: Turning Data Governance into Measurable Trust—
Brendan SullivanKeyBankPanelistSession 13-A: Why Strong Data Management Beats a New Platform, Every Time—
Bryan LaneFederal Deposit Insurance Corporation & Stimson Center Loomis Innovation CouncilSpeakerSession 13-D: From AI Governance to Production: How to Operationalize AI at Enterprise Scale—
C. Lwanga YonkePadouk Consulting, LLCPanelistSession 3-C:Data Quality’s Invisible Foe: FEAR—
Carl GerberIndependent ConsultantSpeakerSession 9: Recap of Day 1—
Carl GerberIndependent ConsultantSpeakerWelcome and Opening Remarks—
Carl GerberIndependent ConsultantSpeakerSession 6-C: Crossing the GenAI Divide: Rescuing Failing AI Pilots with "AI-Ready" Data and Illuminating the Dark Data Within—
Carl GerberIndependent ConsultantSpeakerSession 16: Recap of Day 2—
Caroline BuckleyFord Motor CompanyPanelistSession 11-C: The CDO Role: 20 Years Later -- Why Organizations Need a Chief Data, Analytics, & AI Officer—
Caroline SerioKeyBankModeratorSession 13-A: Why Strong Data Management Beats a New Platform, Every Time—
Chandhu NairLowe'sPanelistSession 11-C: The CDO Role: 20 Years Later -- Why Organizations Need a Chief Data, Analytics, & AI Officer—
Chris PierpanInformaticaSpeakerSession 11-A: The Agentic Data Contract: Redefining Data Readiness for Autonomous Decision-Making—
Chris PierpanInformaticaPanelistSession 18-C: AI Data Governance for the Enterprise - Using Data Governance & Risk Management to protect your Data—
Christina EgeaCapital OneSpeakerSession 12-A: Doubling Down on Data Products to Drive the Business—
Christopher ReichertMITSpeakerSession 14-E: From Event to Ecosystem: Rethinking Leadership Development in the AI Era—
Dan EverettInsightful Research LLCPanelistSession 3-C:Data Quality’s Invisible Foe: FEAR—
Danette McGilvrayGranite FallsPanelistSession 3-C:Data Quality’s Invisible Foe: FEAR—
Daniel MorganUS Department of TransportationSpeakerSession 6-B: Proven Under Pressure: Federal CDOs, AI, and What 2026 Demands—
Danielle BeringerKPMGSpeakerSession 3-D: Data Modernization, Ontology & Data Products - Rethinking the Interaction Model for Business & IT—
David JohnsonKPMGSpeakerSession 12-C: Driving Value with Data—
Davide TavellaAbbViePanelistSession 8-A: AI/ML for Biologics—
Dia AdamsDatafolx AIPanelistSession 8-E: How Organizations are Currently Governing Data and AI: What’s Working and What’s Not—
Dora BoussiasDoraB GlobalPanelistSession 3-C:Data Quality’s Invisible Foe: FEAR—
Douglas KanouffKeyBankPanelistSession 13-A: Why Strong Data Management Beats a New Platform, Every Time—
Douglas Laney—SpeakerSession 5-C: Leading Enterprise AI: The Future of Leadership, Talent, and Transformation—
Douglas Laney—SpeakerSession 15-C: The Actual Data, Analytics, and AI Practices of High-Performing Organizations—
Dr. Adita KarkeraDeloitteModeratorSession 7-E: The AI Fuel: Modern Data Sharing Strategies—
Dr. John TalburtUniversity of Arkansas Little RockSpeakerSession 5: ADQ Architecture: Systems, Components, and Process—
Elena AlikhachkinaInfofluence.aiSpeakerSession 17-D: AI Oversight in the Boardroom: The Evolving Role of the CDO—
Eleonore Fournier-TombsNYS Information Technology OfficePanelistSession 7-E: The AI Fuel: Modern Data Sharing Strategies—
Eric FergusonWilson Bank & TrustPanelistSession 12-B: Your AI Is Only as Smart as Your Data’s Context—
Fern HalperAI Foundations Group & TDWIPanelistSession 8-E: How Organizations are Currently Governing Data and AI: What’s Working and What’s Not—
Gokula MishraFormerly of Direct SupplyPanelistSession 17-C: A Leaders Guide, Accelerate Data & AI Culture for Sustainable Business Value—
Graham RongMassachusetts Institute of TechnologySpeakerSession 4-E: Scaling AI: From Research Collaboration to Enterprise Value—
Gwen ThomasThe Data Governance Institute (DGI)SpeakerSession 11-E: Aligning Legacy Data Governance with AI-Era Mandates—
Harish VundavalliStrategic Education INCSpeakerSession 17-B: Building Trusted AI: Ensuring Data Consistency, Governance, and Information Quality in Distributed Enterprise Systems—
Hema SeshadriAkamai Technologies and Northeastern UniversityPanelistSession 7-C: Swarm Intelligence in the Enterprise: From Orchestration to Organizational Impact and the Future of Work—
Hemasundara Reddy LankaPublicis SapientSpeakerSession 17-B: Building Trusted AI: Ensuring Data Consistency, Governance, and Information Quality in Distributed Enterprise Systems—
Jack SmithSyncariSpeakerSession 11-D: MDM Drives Good Business — And Now It Has to Drive AI Too—
Jarrett GarciaIron MountainSpeakerSession 10-B: The Basis for AI Success: How Iron Mountain Built Confidence in Its Data to Fuel Agentic Workflows—
Jeff KnoxInnosparkPanelistSession 14-B: Data Investments in the AI World – Where are Early-Stage Investors Investing?—
John Ladley—PanelistSession 13-E: Synergy of Driving Forces in Data Leadership for the Next Twenty years—
John Ladley—SpeakerSession 11-E: Aligning Legacy Data Governance with AI-Era Mandates—
Jonathan AgeeValidatarSpeakerSession 6-D: Validation at Scale: How Governed Agentic AI Unlocks Data Trust Through Testing, Monitoring, and Reconciliation—
Joseph SommerEYSpeakerSession 15-C: The Actual Data, Analytics, and AI Practices of High-Performing Organizations—
Juan SequedaServiceNowSpeakerSession 6-A: Scar Tissue: 20 Lessons from 20 Years of Building the Foundation AI Actually Needs—
Julia BardmesserData4Real LLCSpeakerSession 18-A: Driving Business Value with Data and AI: A CEO's Perspective—
Julia CherashoreFordham UniversityModeratorSession 18-E: The Governance Imperative—
Kappu RamasubramanianRutgers UniversitySpeakerSession 12-E: Advancing Data Leadership in Higher Education: Translating Executive Intent into Measurable Impact—
Karan DhawalZSModeratorSession 17-C: A Leaders Guide, Accelerate Data & AI Culture for Sustainable Business Value—
Karthik RavindranMicrosoftSpeakerSession 13-B: AI H.O.P.E. AI for People, Purposes, and a Future worth building—
Karthik YajurvediCommonwealth of MassachusettsPanelistSession 7-E: The AI Fuel: Modern Data Sharing Strategies—
Keith KennedyCognetryxPanelistSession 18-E: The Governance Imperative—
Ken KaufmanWorthington EnterprisesPanelistSession 12-B: Your AI Is Only as Smart as Your Data’s Context—
Kevin EichasKeyBankPanelistSession 13-A: Why Strong Data Management Beats a New Platform, Every Time—
Kevin PetrieBARCSpeakerSession 18-D: From Chaos to Competitive Edge: Governing Unstructured Data for AI Context—
Kim HerringtonForresterModeratorSession 3-C:Data Quality’s Invisible Foe: FEAR—
Kishore AradhyaFrontdoorPanelistSession 7-C: Swarm Intelligence in the Enterprise: From Orchestration to Organizational Impact and the Future of Work—
Kris MorkLeidosSpeakerSession 5-A: From Zero to Product, Accelerating Data Strategy—
Larry ShillerShiller & Company, IncSpeakerSession 19-C: Adopting Metadata-First: The New Data Operating System—
Leticia NaqviAppleSpeakerSession 17-A: Bridging the AI Readiness Gap: From Insight to Implementation—
Lindy KreslTecnologia, IncModeratorSession 18-C: AI Data Governance for the Enterprise - Using Data Governance & Risk Management to protect your Data—
Lloyd MuttomDeloitteSpeakerSession 5-D: Navigating the Data & AI Trust Paradox—
Lloyd MuttomDeloitteSpeakerSession 13-D: From AI Governance to Production: How to Operationalize AI at Enterprise Scale—
Lorena van GestelRabobankPanelistSession 8-E: How Organizations are Currently Governing Data and AI: What’s Working and What’s Not—
Mark JohnsonCoStrategixSpeakerWelcome and Opening Remarks—
Mark JohnsonCoStrategixSpeakerSession 16: Recap of Day 2—
Mark JohnsonCoStrategixSpeakerSession 9: Recap of Day 1—
Mark JohnsonCoStrategixModeratorSession 12-B: Your AI Is Only as Smart as Your Data’s Context—
Mark RamseyRamsey International LLCSpeakerSession 6: ADQ Demonstration—
Mark RamseyRamsey International LLCSpeakerSession 3: Foundations of GenAI & Agents for Agentic Data Quality—
Mark RamseyRamsey International LLCSpeakerSession 7: Building a Data Quality GenAI Solution—
Mark RamseyRamsey International LLCSpeakerSession 4-C: The CDO in the Age of Generative AI: Lead the Asset—or Lose the Mandate—
Mark SuteraSecuvySpeakerSession 3-E: The Agentic AI Reckoning: Why Your Data Governance Won't Survive Contact—
Markus Placzekams OSRAMPanelistSession 12-B: Your AI Is Only as Smart as Your Data’s Context—
Martha DemberDatavailSpeakerSession 19-D: Context as the Cornerstone of AI Governance—
Martha DemberDatavailSpeakerSession 11-E: Aligning Legacy Data Governance with AI-Era Mandates—
Matt AgeeValidatarSpeakerSession 6-D: Validation at Scale: How Governed Agentic AI Unlocks Data Trust Through Testing, Monitoring, and Reconciliation—
Matt McQueenOrtechaSpeakerSession 8-D: Swarm Intelligence in the Enterprise: Building the Semantic Foundation for Safe, Measurable AI Execution—
Melvina SparksEMBRACEIT AIPanelistSession 18-C: AI Data Governance for the Enterprise - Using Data Governance & Risk Management to protect your Data—
Michael ButtsBurtch WorksSpeakerSession 5-C: Leading Enterprise AI: The Future of Leadership, Talent, and Transformation—
Michael StonebrakerMITSpeakerSession 17-E: My Journey with LLMs—
Michail VlysidisAbbViePanelistSession 8-A: AI/ML for Biologics—
Muzakkiruddin Ahmed MohammedUA Little RockSpeakerSession 2: Building an Enterprise Knowledge Assistant for Data Quality, Governance, and AI Solutions Using Open-Source LLMs and RAG—
Nachiket MehtaThe HartfordModeratorSession 4-A: AI in Financial Services: What’s Actually Working (and What Isn’t)—
Nandagopal JayaramCoStrategixSpeakerSession 7-D: From Active Metadata to Agentic AI: Building Context for Autonomous Execution—
Narayanan NairFarm Credit Services of AmericaPanelistSession 4-A: AI in Financial Services: What’s Actually Working (and What Isn’t)—
Nick DobbinsInformaticaSpeakerSession 5-D: Navigating the Data & AI Trust Paradox—
Nick HartData FoundationSpeakerSession 6-B: Proven Under Pressure: Federal CDOs, AI, and What 2026 Demands—
Nicole Janeway BillsData Strategy ProfessionalsPanelistSession 8-E: How Organizations are Currently Governing Data and AI: What’s Working and What’s Not—
Nisha PaliwalAbbViePanelistSession 17-C: A Leaders Guide, Accelerate Data & AI Culture for Sustainable Business Value—
Nisha PaliwalAbbViePanelistSession 8-A: AI/ML for Biologics—
Nishit SadhwaniNew York Life Insurance CompanyPanelistSession 12-B: Your AI Is Only as Smart as Your Data’s Context—
Nishkam PrabodhVenture GuidesPanelistSession 14-B: Data Investments in the AI World – Where are Early-Stage Investors Investing?—
Olivia KewVanderbilt UniversitySpeakerSession 12-E: Advancing Data Leadership in Higher Education: Translating Executive Intent into Measurable Impact—
Or ZabludowskiFlexorSpeakerSession 11-B: From Noise to Clarity: Turning Unstructured Enterprise Data into AI-Ready Context—
Or ZabludowskiFlexorSpeakerSession 12-D: Unstructured data killed my AI agent. Now what?—
Patty Haines—PanelistSession 18-C: AI Data Governance for the Enterprise - Using Data Governance & Risk Management to protect your Data—
Pete ScherfConcordModeratorSession 15-D: Thinking Beyond the Pilot: What it Takes to Scale AI—
Peter AikenVCU/AnythingAwesomeModeratorSession 13-E: Synergy of Driving Forces in Data Leadership for the Next Twenty years—
Peter MantaInformaticaSpeakerSession 11-A: The Agentic Data Contract: Redefining Data Readiness for Autonomous Decision-Making—
Puneet SinghIntuitSpeakerSession 15-B: From Reactive to Proactive: How Intuit Credit Karma Solved Data Quality at Scale—
Radha KuchibhotlaCVS HealthPanelistSession 15-D: Thinking Beyond the Pilot: What it Takes to Scale AI—
Raghuvaran Reddy KalluriRoyal Bank of CanadaSpeakerSession 18-B: Modernization of Data Management from Traditional On-Prem Solutions to Cloud-Native Solutions—
Randy BeanData & AI Leadership ExchangeModeratorSession 11-C: The CDO Role: 20 Years Later -- Why Organizations Need a Chief Data, Analytics, & AI Officer—
Richard WangCDOIQ ProgramSpeakerSession 1: Welcome Remarks and Introduction—
Richard WangCDOIQ ProgramSpeakerWelcome and Opening Remarks—
Richard WangCDOIQ ProgramPanelistSession 13-E: Synergy of Driving Forces in Data Leadership for the Next Twenty years—
Rick GrinnellGlasswing VenturesPanelistSession 14-B: Data Investments in the AI World – Where are Early-Stage Investors Investing?—
Ryan DayConference of State Bank SupervisorsPanelistSession 18-E: The Governance Imperative—
Salema RiceIntelliCon GlobalPanelistSession 17-C: A Leaders Guide, Accelerate Data & AI Culture for Sustainable Business Value—
Sanjay ReddyVanguardSpeakerSession 12-D: Unstructured data killed my AI agent. Now what?—
Sarah RobertsKPMGSpeakerSession 12-C: Driving Value with Data—
Scott GauslandRhode Island Department of AdministrationPanelistSession 7-E: The AI Fuel: Modern Data Sharing Strategies—
Sebastian WernickeOxera ConsultingSpeakerSession 13-C: Beyond Data-Driven: Why the Future Belongs to the Data Inspired—
Selim MimarogluFannie MaeSpeakerSession 10-E: From Scratch to Scale: A Blueprint for Building an Enterprise AI Organization—
Shahid AzimC10 LabsPanelistSession 14-B: Data Investments in the AI World – Where are Early-Stage Investors Investing?—
Simon NipAUO Display Plus America CorpSpeakerSession 4-E: Scaling AI: From Research Collaboration to Enterprise Value—
Stacie ChristensenH-E-BSpeakerSession 19-B: Why Data Initiatives Fail Before Technology Ever Becomes the Problem—
Stephen GatchellOrtechaModeratorSession 7-C: Swarm Intelligence in the Enterprise: From Orchestration to Organizational Impact and the Future of Work—
Stephen GatchellOrtechaSpeakerSession 8-D: Swarm Intelligence in the Enterprise: Building the Semantic Foundation for Safe, Measurable AI Execution—
Steve KimmettKeyBankPanelistSession 13-A: Why Strong Data Management Beats a New Platform, Every Time—
Steven NunezSupply TechnologiesPanelistSession 12-B: Your AI Is Only as Smart as Your Data’s Context—
Stewart BondIDCSpeakerSession 5-E:From Data Lakes to Agentic Enterprises: Governing Real-Time, Model-Native Data Ecosystems—
Stuart MadnickCybersecurity at MIT Sloan (CAMS)SpeakerWelcome and Opening Remarks—
Stuart MadnickCybersecurity at MIT Sloan (CAMS)SpeakerDay 1 Keynote: Innovation Insights from the First 20 Years of CDOIQ at MIT—
Sunil SoaresTavro AISpeakerSession 8-C: Agentic AI Governance—
Syed QadriWestern Financial GroupSpeakerSession 2: Building an Enterprise Knowledge Assistant for Data Quality, Governance, and AI Solutions Using Open-Source LLMs and RAG—
Taka ArigaData FoundationSpeakerSession 6-B: Proven Under Pressure: Federal CDOs, AI, and What 2026 Demands—
Tammy BakerNexus Data Foundations LLCPanelistSession 3-C:Data Quality’s Invisible Foe: FEAR—
Terry DorseyDenodoSpeakerSession 14-D: The Hidden Data Problem Blocking AI at Scale—
Thomas RedmanNavesink ConsultingSpeakerSession 14-C: People and Data (and, oh yes, AI!)—
Tom DavenportBabson College/MIT/StanfordSpeakerSession 10-C: Achieving and Measuring Value from Artificial Intelligence—
Tom MazzaferroCyeraSpeakerSession 7-B: How Data, AI and Security Converge to Transform the Modern Company—
Tony Mazzarella, PhD—SpeakerSession 14-A: Toward Adaptive Data Governance—
Troy LeachCSAI FoundationPanelistSession 18-E: The Governance Imperative—
Uma SridharanAbbVieModeratorSession 8-A: AI/ML for Biologics—
Vasa KrishnanLütSpeakerSession 15-E: Evolving IT Leadership: How CDOs Become CIOs to Build Resilient Organizations—
Veenit ShahIntuitSpeakerSession 15-B: From Reactive to Proactive: How Intuit Credit Karma Solved Data Quality at Scale—
Vinod SurasaniRBCSpeakerSession 18-B: Modernization of Data Management from Traditional On-Prem Solutions to Cloud-Native Solutions—
Yashaswi VemugantiScotiabankSpeakerSession 11-B: From Noise to Clarity: Turning Unstructured Enterprise Data into AI-Ready Context—

Sources