2026 Agenda

Your time is maximised onsite through a combination of keynote presentations, workshops, interactive discussion groups, pre-arranged one-to-one meetings & quality networking sessions

Monday 2nd November 2026
08:30 - 09:00

Arrival, Registration & Breakfast Networking

09:00 - 09:15

Introduction from the Network Group & Chairperson

A brief introduction to the event software, SNS – this software, unique to the industry, empowers our attendees to make the most effective use of their time at the event by maximising networking opportunities. The software designs a personalised agenda & enables attendees to arrange one-to-one meetings with each other. This will be followed by a welcome from the chairperson.

Ekaterina Abramovich, Head of Data Platforms & Data Services, Hyundai

09:15 - 09:45

Data Architecture and Modern Platforms: Building the Foundation for the Intelligent
Enterprise

  • Modernizing data architectures to enable scalable, real-time access to trusted data across the enterprise
  • Simplifying and unifying data platforms to improve agility, reduce complexity, and accelerate innovation
  • Building cloud-ready, AI-ready foundations that support advanced analytics and future business growth

Ashutosh Mishra, VP - Data Strategy & Platform, Deutsche Telekom

09:45 - 10:15

The Intelligent Enterprise: Turning Data into Strategic Advantage

  • Aligning data strategy with business priorities to drive growth, efficiency, and competitive advantage 
  • Scaling AI and analytics capabilities to accelerate innovation and improve decision-making
  • Strengthening data governance and quality to build trust and maximize business value

Gigi Wan Chi Lam, Senior Director Business Data Steering, Brenntag 

10:15 - 10:45

We Gave Everyone AI: Now What?

  • AI adoption, are we measuring the wrong thing?
  • Is AI literacy changing behaviour?
  • Where does context create advantage?
  • What does capturing AI productivity look like?

Howard Sanders, Senior Director, Business Intelligence & Process Automation, Lonza

10:45 - 11:00

Coffee Break & Networking

11.00 - 11:25

Workshop 1

From "What Happened?" to "What Next?": AI Analytics You Can Trust

Till Haug, COO & Co-Founder, Veezoo

11:25 - 11:50
Networking
11:50 - 12:15

Workshop 2

Can AI Agents Help Sustain Data Governance Operating Models?

Gaston Hummel, EMEA Lead, Data Strategy Services, Precisely

12:15 - 12:40
Networking
12:40 - 13:05

Workshop 3

Sovereign, Governed, AI-Ready: A Practical Blueprint for Trusted Enterprise Intelligence

Steffen Märkl, Director Solutions Engineering, Cloudera

11:00 - 13:05

One-to-One Meetings

Intelligently matched one-to-one meetings:

  • Advanced Analytics
  • IOT
  • Digital Transformation
  • Enterprise Information Management
  • AI / Machine Learning
  • Big Data
  • Business Intelligence
  • Data Privacy / Security
  • Cloud
  • Data Management
  • Data Integration
  • Risk, Compliance & Regulation
  • Data Visualisation
13:05 - 14:00

Networking Lunch Hosted by Cloudera

Stream 1 - Data & AI
14:00 - 14:35

The Missing Middle: Turning Data Governance from Regulatory
Obligation into AI Enablement

  • Delivering governed discoverable and trusted data usable for AI
  • Building the context, quality, lineage, and platforms needed to scale AI safely
  • Guidance on adapting governance structures from compliance control to faster, more trusted AI delivery

Angela Schaeferbarthold, Head of Data & AI Strategy &
Transformation, DWS
Christina Spelthahn, COO Data Officer, DWS

Stream 2 - Business & Data
14:00 - 14:35

Data, Domain and Dominion: The Hidden Economics of AI Advantage

  • Data as a strategic asset - Guidance on unlocking the hidden economics of data foundation
  • Domain expertise -  mastering the value conversion path in a data driven organization
  • Dominion / sovereign control -  the capability to build defensible moats for business over the life cycle

Prashanth Halady, Chief Product Owner - AI & Data, Bosch

Stream 1 - Data & AI
14:35 - 15:10

Circumventing Enterprise AI Agentic Chaos

  • Key challenges and risks with agentic AI: Everyone is asking what agentic AI can do, are we asking enough about what could go wrong?
  • Exploring the hidden dependencies, unintended consequences, and control gaps that can emerge when AI agents access “Enterprise data”, make decisions, and act across business processes and system

Naveen Kanneganti, Global Lead Data & AI Enterprise Architect, E.ON
Veera Babu Manyam, Global Enterprise Agentic AI Architect, E.ON

Stream 2 - Business & Data
14:35 - 15:10

No Data is Forever: Information Lifecycle Management to Comply
with GDPR and to Improve Data Quality

  • Regulations like GDPR don't allow storing data without time limit. Measures and tools for information lifecycle management must be established.
  • Lifecycle management must also ensure that changes, refreshes, regular checks are done across the whole lifecycle to support high data quality.
  • Data quality management that focuses only on data that is still required and allowed to manage will deliver better business value and saves money.

Holger Frietsch, Director, Big Data Solutions, The Berner Group

15:10 - 15:25

Coffee Break & Networking

15:25 - 15:50

Workshop 4

From Data Theatre to Decision Governance: A Bold, Unified Data Strategy for the CDO Agenda

Tobias Rebele, Data & AI Platform Sales Leader, Informatica from Salesforce
15:50 - 16:15
Networking
16:15 - 16:40

Workshop 5

Open Data Infrastructure: Unlocking SAP Data for AI Readiness

Richard Brouwer, Principal Sales Engineering Specialist - SAP, Fivetran & dbt Labs
16:40 - 17:05
Networking

15:25 - 17:05

One-to-One Meetings

Intelligently matched one-to-one meetings:

  • Advanced Analytics
  • IOT
  • Digital Transformation
  • Enterprise Information Management
  • AI / Machine Learning
  • Big Data
  • Business Intelligence
  • Data Privacy / Security
  • Cloud
  • Data Management
  • Data Integration
  • Risk, Compliance & Regulation
  • Data Visualisation
17:05 - 17:55

Panel Discussion: From Data Strategy to Business Value: Proving ROI in the Age of AI

  • Align data initiatives with business goals to deliver measurable revenue growth and cost savings
  • Define clear data and AI success metrics, improving executive visibility and investment decisions
  • Focus on high-value use cases to accelerate adoption and business outcomes

Ekaterina Abramovich, Head of Data Platforms & Data Services, Hyundai (moderator)
Angela Schaeferbarthold, Head of Data & AI Strategy &
Transformation, DWS
Sotirios Perdikeas, Executive Director Health Data Analytics and Solution Design, Novartis
Ashutosh Mishra, VP - Data Strategy & Platform, Deutsche Telekom
Taufique Shoogufan, Head of Markets Ops - UniCredit Bank Austria, UniCredit
Gigi Wan Chi Lam, Senior Director Business Data Steering, Brenntag

19:00
Networking Drinks Reception & Dinner Hosted by Veezoo

Request an invitation or book your place now