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Conferences / CDAO (Chief Data & Analytics Officer) Summits

CDAO Germany 2024

Apr 17–18, 2024 · NH München Ost Conference Center, Munich, Germany

Conference
CDAO (Chief Data & Analytics Officer) Summits Vendor & industry
Dates
Apr 17, 2024 – Apr 18, 2024
Venue
NH München Ost Conference Center
Place
Munich, Germany
Format
In person
Status
Past
Attendance
—
Website
cdao-germany.coriniumintelligence.com
Recorded
12 sponsors · 30 speaker appearances
Notes
Two-day event (an October 2023 snapshot had announced 24-25 April 2024). Speakers, talk titles and sponsors from post-event snapshots (April-May 2024). The registration page showed end-user and vendor rates only.

Ticket prices

TicketPriceValid untilNotesSource
Delegate (end-user) main conference pass€499—web.archive.org
Vendor main conference pass€1,999—Solution providers and consultanciesweb.archive.org

Sponsors 12

Platinum 3

Gold 4

Silver 2

Other 3

Speakers and talks 30

SpeakerCompanyRoleTalkLinks
Alasdair AndersonProtegritySpeakerAccelerating your Data Modernisation in the Cloud—
Aleksejs PlotnikovsMicrosoftPanelistPanel Discussion: How Should We Plan for Future AI Projects Based on What We Have Learnt So Far?—
Alexander YasnogorFINNSpeakerDiscussion Group B: Building Consumer Trust through Ethical AI Adoption—
Andrew SpiresTricentisSpeakerDiscussion Group A: How can you build a seamless culture of data literacy and leadership to achieve unstoppable business success?—
Bartosch Andreas PliszekBSH HOME APPLIANCES GROUPSpeakerNavigating the Data Jungle: Cultivating a Data Culture for Data Driven Excellence and Community Empowerment—
Dr. Hiba ArnoutMHP – A Porsche CompanySpeakerDiscussion Group B: Tackling Talent Hurdles in the Analytics Spectrum—
Eike BrechmannAllianzSpeakerDelighting Customers – Driven by Data Analytics & AI—
Evgeni HasinWEFOXSpeakerCultivating Data Democracy: wefox's Journey to Unleashing the Power of Self-Service Data Analytics—
Felix MuckenfußOneTrustSpeakerDiscussion Group B: Building Consumer Trust through Ethical AI Adoption—
Gareth FarrUniCreditChairChair’s Opening Remarks—
Idreece KhanRevolutSpeakerDiscussion Group B: Building Consumer Trust through Ethical AI Adoption—
Jean-Paul OttePreciselySpeakerMore Than Data Governance – Instilling the Right Mindset to Generate Value—
Jochen BaumeisterSandozPanelistPanel Discussion: When Culture Skills and Leadership Walk into a Data Bar: A Tale of Enterprise Transformation—
Jonas DieckmannPhilipsPanelistPanel Discussion: When Culture Skills and Leadership Walk into a Data Bar: A Tale of Enterprise Transformation—
Karin ImmenrothRTL DEUTSCHLANDSpeakerWith AI into the Data-Driven Future of RTL Germany—
Kira EngelhardtE.ONSpeaker——
Mack WallaceSYSTEM VERTRIEB ALEXANDERSpeaker——
Maksat AmangeldiyevDelivery HeroSpeakerDiscussion Group A: How can you build a seamless culture of data literacy and leadership to achieve unstoppable business success?—
Mark ZakhvatkinIU INTERNATIONAL UNIVERSITY OF APPLIED SCIENCESSpeakerTransforming EduTech with GenAI: Lessons from a Trailblazer—
Markus GrauPure StorageSpeakerCustomer Case Studies: Unleashing the Power of Data & Transforming Business through AI and Analytics—
Markus RotterVodafoneSpeakerAdvancing to Zero-Touch Operations: Transferring Processes Towards AI—
Michael BrüdgamENERCONSpeaker——
Richard BrouwerFivetranSpeakerHow Can You Crack the Code to Make Your SAP Data Easily Accessible for Your Organization—
Roman SwoszowskiG.iQSpeakerMaximizing Insights from Your Data: Leveraging Generative AI for Enhanced Analytics—
Ronald RootVAN OORDSpeakerRevolutionizing Traditional Industries: Emphasizing the Critical Role of a Robust Data Foundation and Effective Change Management—
Sebastian KranzQNIT AGSpeakerDiscussion Group A: How can you build a seamless culture of data literacy and leadership to achieve unstoppable business success?—
Shweta ShanbhagVodafoneSpeaker——
Timo MühlhausenSiemensSpeakerDiscussion Group A: How can you build a seamless culture of data literacy and leadership to achieve unstoppable business success?—
Uwe KlemtZEISSSpeakerEstablishing a Data Governance Foundation in a Heterogeneous Corporate Environment—
Victor TremolsVERSICHERUNGSKAMMER / INVERSOPanelistPanel Discussion: How Should We Plan for Future AI Projects Based on What We Have Learnt So Far?—

Sources