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Conferences / CDAO (Chief Data & Analytics Officer) Summits

CDAO Germany 2026

Apr 28–29, 2026 · Holiday Inn Munich City Centre, Munich, Germany

Conference
CDAO (Chief Data & Analytics Officer) Summits Vendor & industry
Dates
Apr 28, 2026 – Apr 29, 2026
Venue
Holiday Inn Munich City Centre
Place
Munich, Germany
Format
In person
Status
Past
Attendance
—
Website
cdao-germany.coriniumintelligence.com
Recorded
16 sponsors · 40 speaker appearances
Notes
Two-day event. Venue is the hotel named on the venue page (Holiday Inn Munich City Centre). Speakers from the "2026 Speakers" page still live after the event (2026-11-09), plus any only on the 14 April 2026 snapshot; talk titles from the schedule two weeks before the event. Sponsors from the post-event home page (May 2026), plus industry and media partners. Home page claimed 30+ speakers and 100+ attendees.

Ticket prices

TicketPriceValid untilNotesSource
VIP pass (end-user practitioners)€0—Free VIP pass for data & analytics practitioners from end-user companies, subject to approvalweb.archive.org
Delegate (end-user) main conference pass€499—web.archive.org
Vendor main conference pass€1,999—Solution providers and consultanciesweb.archive.org

Sponsors 16

Platinum 5

Gold 2

Silver 2

Media 3

Other 4

Speakers and talks 40

SpeakerCompanyRoleTalkLinks
Alexander Woellwarth-LauterburgInnoButlerKeynoteOpening Keynote Presentation: Europe’s AI Moment: From Models to Data-Ready, Governed AI Systems—
Charaf El HamiAmundi Investment InstituteKeynoteOpening Keynote: From data to strategic asset: turning data into a durable source of competitive advantage—
Dietmar BohmerTYMEKeynoteKeynote Presentation: AI, GenAI & Agentic AI: From Innovation Hype to Enterprise Reality—
Nadiem von HeydebrandMindfuelKeynoteKeynote Presentation: Stop Managing AI Projects. Start Managing AI Impact.—
Ole Olesen-BagneuxActianKeynoteKeynote Presentation: Organizing and Searching Data – With AI, for AI—
Richard BrouwerFivetranKeynoteKeynote Presentation: Open Data Infrastructure: Breaking Vendor Lock-In in the Age of AI—
Abdul Maten KhanDISH DIGITAL SOLUTIONS (METRO AG)PanelistPanel Discussion: Turning Insights into Impact — Making Data Actionable—
Agathe Chomel de JarnieuAUTO1 GROUPPanelistPanel Discussion: Turning Insights into Impact — Making Data Actionable—
Alexandra RaheLufthansa Group Business ServicesPanelistDiscussion Group: From Data to Revenue: Making Customer Data Commercially Actionable—
Charlotte EvansCourseraSpeakerThe Real Challenge in Analytics: Why Technology Isn’t the Problem—
Christian ScheidelSAPSpeakerFrom Disconnected Data to Scalable AI: The Road to the Data-Driven Enterprise with SAP—
Dmytro PavlichenkoAUTODOCPanelistPanel Discussion: Turning Insights into Impact — Making Data Actionable—
Dr. Ahmed EbadaBMWSpeaker——
Dr. Florian HottnerPenguin Random House UKSpeaker——
Dr. Katharina BehmeLUXEXPERIENCESpeakerDiscussion group: How Can Organizations Truly Win in a Data-Driven World?—
Dr. Shivaji DasguptaState StreetPanelistPanel Discussion: The Challenges and Pitfalls of Setting Up and Executing an AI Strategy—
Elizabeth PressCenter for Hybrid Electric Systems Cottbus (chesco) at BTU Cottbus-SenftenbergChairChair's Opening Remarks—
Florian LeserKKHPanelistPanel Discussion: The Challenges and Pitfalls of Setting Up and Executing an AI Strategy—
Gareth FarUniCreditSpeaker——
Georg WeigbertINTERHYP GRUPPESpeakerBeyond the Pilot: Lessons from Deploying an AI Sales Advisor in Mortgage Brokerage—
Jochen BaumeisterSandozSpeakerWhen AI Goes Live: Managing Failure, Drift, and Unexpected Outcomes—
Kavitha Chetana DiduguZOOPLUSPanelistPanel Discussion: Turning Insights into Impact — Making Data Actionable—
Kolja Manuel RodelRamederModeratorPanel Discussion: Data as a Profit Driver—
Lukas jan StroemsdoerferDFL Digital SportsSpeakerDemocratizing Football Data with AI Agents: Bridging the Gap Between Domain Experts and Data Teams—
Marcin NizinskiSiemensSpeakerHow to Train a Dragon: Building High-Impact Data Teams Through Culture, Trust, and Internal Branding—
Mariam YakubSWISSLOGPanelistPanel Discussion: Data as a Profit Driver—
Marie FennerPianoModeratorDiscussion Group: From Data to Revenue: Making Customer Data Commercially Actionable—
Mark ZakhvatkinIU GROUPSpeaker——
Maximilian EhrlichTONIESModeratorPanel Discussion: The Challenges and Pitfalls of Setting Up and Executing an AI Strategy—
Nadine HeineLexisNexisSpeaker——
Naveen KannegantiEonSpeakerDiscussion Group: Fixing the Foundations — What Actually Enables Scalable AI and Analytics?—
Pankaj NaryalHUHTAMAKIPanelistDiscussion Group: From Data to Revenue: Making Customer Data Commercially Actionable—
Pier MartinZEAL Network SESpeakerDeveloping a Data Operating System—
Rebeca MeyerKnaufSpeakerDiscussion Group: Fixing the Foundations — What Actually Enables Scalable AI and Analytics?—
Siddharth RajagopalSalesforceSpeakerWhy Your Data Strategy Isn't Ready for AI Agents (And How to Fix It)—
Solaiyappan ShanmugamCONRADSpeaker——
Timo TautenhahnSalesforceSpeakerWhy Your Data Strategy Isn't Ready for AI Agents (And How to Fix It)—
Uwe KlemtTricentisSpeakerHigh-Velocity AI & Analytics Delivery — Balancing Speed, Risk, and Confidence—
Veera Babu ManyamEonPanelistPanel Discussion: When AI Gets It Wrong — Who Is Accountable, Who Decides, Who Pays?—
Wayne CavanoughJAJA FinancePanelistPanel Discussion: Turning Insights into Impact — Making Data Actionable—

Sources