8:00 AM

8:30 AM

Registration Opens

8:30 AM

8:40 AM

Welcoming Notes and Orientation
[P1] - Plenum

8:40 AM

9:00 AM

Chairman’s Opening Remarks
[P1] - Plenum

9:00 AM

9:20 AM

Future Outlook Session
[P1] - Plenum

9:20 AM

9:40 AM

KEYNOTE | Building an AI-Driven Enterprise: Strategies for Integrating AI Agents Across Business Functions
[P1] - Plenum

9:45 AM

10:05 AM

KEYNOTE | Transformative Data Platforms: Navigating the Shift from Traditional systems to Modern Data Ecosystem
[P1] - Plenum

10:05 AM

10:30 AM

Networking Coffee & Peer-to-Peer Meetings

10:30 AM

5:50 PM

Data Octagon Stage - Entire Program - DAY 1
[DO] - Data Octagon Stage

10:30 AM

10:40 AM

Moderator's Opening Remarks
[M1] - Machine Learning, Agents & Generative AI Stage

10:30 AM

10:40 AM

Moderator's Opening Remarks
[M2] - Data Engineering & DataOps Stage

10:30 AM

10:40 AM

Moderator's Opening Remarks
[M3] - Data Platform & Architecture Stage

10:30 AM

10:40 AM

Moderator's Opening Remarks
[M4] - Data Strategy Stage and Governance Stage

10:30 AM

10:40 AM

Moderator's Opening Remarks
[M5] - Analytics & Decision Intelligence Stage

10:30 AM

10:40 AM

Moderator's Opening Remarks
[M6] - AI Strategy and Governance Stage

10:30 AM

10:40 AM

Moderator's Opening Remarks
[M7] - Sovereignty, Infrastructure and Security Stage

10:30 AM

10:40 AM

Moderator's Opening Remarks
[M8] - Adoption and Impact Stage

10:30 AM

10:40 AM

Moderator's Opening Remarks
[M9] - Databases & Data Quality Stage

10:40 AM

11:00 AM

Architectures of Generative AI: LLMs, Diffusion Models, and Beyond
[M1] - Machine Learning, Agents & Generative AI Stage

10:40 AM

11:00 AM

Data Architecture to Support Gen AI and Agentic AI at Scale
[M2] - Data Engineering & DataOps Stage

10:40 AM

11:00 AM

Next-Gen Enterprise Data Platforms: AI-Enabled, Open, and Modular Architectures
[M3] - Data Platform & Architecture Stage

10:40 AM

11:00 AM

Building Federated and Decentralized Governance Models for AI at Scale
[M4] - Data Strategy Stage and Governance Stage

10:40 AM

11:00 AM

Building a Robust Analytics Foundation: Data Quality, Integration, and Governance
[M5] - Analytics & Decision Intelligence Stage

10:40 AM

11:00 AM

Developing an Enterprise AI Strategy Aligned with Business Objectives
[M6] - AI Strategy and Governance Stage

10:40 AM

11:00 AM

AI-Ready Infrastructure at Scale: What Enterprises Need to Run AI Workloads
[M7] - Sovereignty, Infrastructure and Security Stage

10:40 AM

11:00 AM

Unlocking AI ROI: The Critical Role of Adoption and Usage Across Business Units
[M8] - Adoption and Impact Stage

10:40 AM

11:00 AM

Designing scalable, AI ready database architectures for high-volume workloads
[M9] - Databases & Data Quality Stage

11:10 AM

11:30 AM

End-to-End Pipeline for Generative AI Model Development
[M1] - Machine Learning, Agents & Generative AI Stage

11:10 AM

11:30 AM

Best Practices for Data Ingestion and Feature Engineering in AI Pipelines
[M2] - Data Engineering & DataOps Stage

11:10 AM

11:30 AM

Building AI-Native Lakehouse Architectures with Apache Iceberg & Delta Lake
[M3] - Data Platform & Architecture Stage

11:10 AM

11:30 AM

Automating Policy Enforcement with Governance-as-Code in AI Data Pipelines
[M4] - Data Strategy Stage and Governance Stage

11:10 AM

11:30 AM

Bridging Traditional BI and Modern Analytics: Hybrid Strategies for Enterprise Growth
[M5] - Analytics & Decision Intelligence Stage

11:10 AM

11:30 AM

Scale or Fail: Leveraging AI for Competitive Advantage

Dr.-Ing. Susan Wegner

Head of Group Data&AI (Global SVP) , Allianz

[M6] - AI Strategy and Governance Stage

11:10 AM

11:30 AM

The Human Factor: The Weakest Link or Strongest Defense?

Amir Vashkover

Head of Data Security, Philips

[M7] - Sovereignty, Infrastructure and Security Stage

11:10 AM

11:30 AM

Designing User Friendly AI Products that Drive Engagement and Usage
[M8] - Adoption and Impact Stage

11:10 AM

11:30 AM

Advanced Data Cleansing and Validation Techniques to Improve AI Model Accuracy
[M9] - Databases & Data Quality Stage

11:40 AM

12:00 PM

Fine-Tuning Large Language Models for Domain-Specific Applications
[M1] - Machine Learning, Agents & Generative AI Stage

11:40 AM

12:00 PM

DataOps for AI: Integrating Agile, CI/CD, and MLOps Practices
[M2] - Data Engineering & DataOps Stage

11:40 AM

12:00 PM

Bridging Data Lakes and Warehouses: Designing Unified Metalake Platforms for Enterprise AI
[M3] - Data Platform & Architecture Stage

11:40 AM

12:00 PM

Implementing Metadata-Driven Policies to Enable Scalable Decentralized AI Governance
[M4] - Data Strategy Stage and Governance Stage

11:40 AM

12:00 PM

Leveraging Descriptive and Diagnostic Analytics to Derive Actionable Insights
[M5] - Analytics & Decision Intelligence Stage

11:40 AM

12:00 PM

Building AI Strategy That Directly Aligns with Business Outcomes and Value Drivers
[M6] - AI Strategy and Governance Stage

11:40 AM

12:00 PM

Identity-First Security in the Age of AI Agents
[M7] - Sovereignty, Infrastructure and Security Stage

11:40 AM

12:00 PM

The Next Frontier in AI Applications – Transforming Data into Actionable Intelligence

Altaf Patel

VP Data Analytics & AI, PepsiCo

[M8] - Adoption and Impact Stage

11:40 AM

12:00 PM

Leveraging vector and graph databases to solve complex AI data challenges
[M9] - Databases & Data Quality Stage

12:10 PM

12:30 PM

Transfer Learning and Prompt Engineering for Business Use Cases
[M1] - Machine Learning, Agents & Generative AI Stage

12:10 PM

12:30 PM

Enabling Real-Time Data Streams for Dynamic AI Model Inputs
[M2] - Data Engineering & DataOps Stage

12:10 PM

12:30 PM

Empowering Domain Teams with Data Mesh: Architecting Decentralized Data Product Ecosystems
[M3] - Data Platform & Architecture Stage

12:10 PM

12:30 PM

Operationalizing Data Stewardship in a Decentralized AI Ecosystem
[M4] - Data Strategy Stage and Governance Stage

12:10 PM

12:30 PM

Enabling Self-Service Analytics: Empowering Business Users with Governed Access
[M5] - Analytics & Decision Intelligence Stage

12:10 PM

12:30 PM

Governance, Risk, and Compliance (GRC) Essentials for Deploying External AI Products
[M6] - AI Strategy and Governance Stage

12:10 PM

12:30 PM

How Enterprises Can Defend Against Prompt Injection and Shadow AI Risks
[M7] - Sovereignty, Infrastructure and Security Stage

12:10 PM

12:30 PM

Enabling Non Technical Business Users with AI Tools and Training
[M8] - Adoption and Impact Stage

12:10 PM

12:30 PM

Real-Time Data Quality Monitoring and Automated Anomaly Detection
[M9] - Databases & Data Quality Stage

12:30 PM

1:30 PM

Networking Lunch

1:40 PM

2:00 PM

Beyond the next track – How AI is transforming recommendations and personalization

Henrik “Henok” Lindström

Product Lead , Spotify

[M1] - Machine Learning, Agents & Generative AI Stage

1:40 PM

2:00 PM

TBA

Max Schultze

Director of Data Engineering , HelloFresh

[M2] - Data Engineering & DataOps Stage

1:40 PM

2:00 PM

Beyond the Platform: How Data Products Turn Infrastructure into Impact

Robert Børlum-Bach

Head of Data Architecture and Transformation , JP/Politiken Media Group

[M3] - Data Platform & Architecture Stage

1:40 PM

2:00 PM

Trusted data exchange for the Operations of Airbus and the Aerospace industry

Christelle Bourdeu

Head of Data office for Operations , Airbus

[M4] - Data Strategy Stage and Governance Stage

1:40 PM

2:00 PM

Fostering a Collaborative Data Culture: Building Data Literacy and Cross Functional Teams
[M5] - Analytics & Decision Intelligence Stage

1:40 PM

2:00 PM

AI Governance – Navigating the Intersection of Business Impact and Ethical Responsibility

Juha Vesanto

Chief AI Officer , OP Financial Group

[M6] - AI Strategy and Governance Stage

1:40 PM

2:00 PM

Open Source AI Tools: Integration Strategies and Security Risks in the Enterprise
[M7] - Sovereignty, Infrastructure and Security Stage

1:40 PM

2:00 PM

Action Before Perfection: A Practical Path to AI Adoption in Manufacturing

Tony Savander

Senior Data Scientist , Wärtsilä

Christian Sundman

Innovation Manager , Wärtsilä

[M8] - Adoption and Impact Stage

1:40 PM

2:00 PM

Handling Hybrid and Multi Cloud Database Environments to Ensure Agility and Compliance
[M9] - Databases & Data Quality Stage

2:10 PM

2:30 PM

Optimizing Inference Performance for Real-Time Gen AI Applications
[M1] - Machine Learning, Agents & Generative AI Stage

2:10 PM

2:30 PM

Managing Metadata, Lineage, and Data Provenance for Transparent AI Pipelines
[M2] - Data Engineering & DataOps Stage

2:10 PM

2:30 PM

Hybrid & Multi-Cloud Platforms: Designing Data Infrastructure for AI Scalability and Compliance
[M3] - Data Platform & Architecture Stage

2:10 PM

2:30 PM

Managing Risk and Compliance for Generative and Agentic AI in Distributed Environments
[M4] - Data Strategy Stage and Governance Stage

2:10 PM

2:30 PM

Scaling Predictive Analytics: Practical Approaches for Medium AI Maturity Organizations
[M5] - Analytics & Decision Intelligence Stage

2:10 PM

2:30 PM

Enabling Business Users with Governed Self-Service AI and Innovation Tools
[M6] - AI Strategy and Governance Stage

2:10 PM

2:30 PM

Managing the Cost & Security of AI Infrastructure
[M7] - Sovereignty, Infrastructure and Security Stage

2:10 PM

2:30 PM

Measuring AI Adoption and Usage with Actionable Metrics for Improvement
[M8] - Adoption and Impact Stage

2:10 PM

2:30 PM

Establishing Data Lineage and Metadata Frameworks to Support Transparent AI
[M9] - Databases & Data Quality Stage

2:40 PM

3:20 PM

Chief AI Officer Executive Round Table
RT - Executive Roundtables

2:40 PM

3:00 PM

Multi-Modal Generative AI: Integrating Text, Images, and Audio
[M1] - Machine Learning, Agents & Generative AI Stage

2:40 PM

3:00 PM

Composable Data Ecosystems: API-First Microservices and Integration Patterns
[M2] - Data Engineering & DataOps Stage

2:40 PM

3:00 PM

Implementing AI-Augmented Metadata Management for Automated Lineage and Impact Analysis
[M3] - Data Platform & Architecture Stage

2:40 PM

3:00 PM

Building a Data Product Mindset: Governance, Ownership, and Quality at Scale
[M4] - Data Strategy Stage and Governance Stage

2:40 PM

3:00 PM

Using Analytics to Support Operational and Strategic Decision-Making
[M5] - Analytics & Decision Intelligence Stage

2:40 PM

3:00 PM

Measuring Feasability and ROI of Agentic AI: From Productivity Gains to New Value
[M6] - AI Strategy and Governance Stage

2:40 PM

3:00 PM

What DORA, CRA & the EU AI Act Mean for Enterprise AI Infrastructure
[M7] - Sovereignty, Infrastructure and Security Stage

2:40 PM

3:00 PM

Using NewSQL and Distributed Databases for Consistent and Scalable AI Applications
[M9] - Databases & Data Quality Stage

3:10 PM

3:35 PM

Networking Coffee & Peer-to-Peer Meetings

3:40 PM

4:10 PM

Technology in practice | Round 1

4:10 PM

4:50 PM

Chief Data Officer Executive Round Table
RT - Executive Roundtables

4:10 PM

4:30 PM

How the agents have colonized Carrefour

Guillaum Blaquiere

Group Data Architect, Carrefour

[M1] - Machine Learning, Agents & Generative AI Stage

4:10 PM

4:30 PM

Data Quality Monitoring and Automated Validation for Generative and Agentic AI Inputs
[M2] - Data Engineering & DataOps Stage

4:10 PM

4:30 PM

Real-Time Streaming Data Pipelines for Adaptive Generative and Agentic AI Systems
[M3] - Data Platform & Architecture Stage

4:10 PM

4:30 PM

Embedded Data Governance: Resolving the Automation Paradox

Winfried Adalbert Etzel

Data Governance Professional, Winfried Etzel AS

[M4] - Data Strategy Stage and Governance Stage

4:10 PM

4:30 PM

Mastering the Shift: Essential Tools and Tips for Seamless Adaptation to New Data Visualization Platforms

Ankur Bansal

Credit Risk Analyst, T-Mobile USA Inc.

[M5] - Analytics & Decision Intelligence Stage

4:10 PM

4:30 PM

From Burden to Brilliance: A Developer-Friendly Approach to Compliant Documentation

Øystein Endal

AI Risk Officer , Gjensidige Forsikring ASA

[M6] - AI Strategy and Governance Stage

4:10 PM

4:30 PM

What Happens When a SOC Hires a Data Scientist: Our AI Journey in Cyber Defense

Jacqueline Berger

Data Scientist , Raiffeisenbank International

[M7] - Sovereignty, Infrastructure and Security Stage

4:10 PM

4:30 PM

From UX to Human Experience: Designing AI with People at the Center

Raquel Castro

UX Lead , Visma Software International

[M8] - Adoption and Impact Stage

4:10 PM

4:30 PM

Using AI and Machine Learning to Continuously Enhance Data Quality
[M9] - Databases & Data Quality Stage

4:40 PM

5:00 PM

OpenSource GenAI

Merve Noyan

Machine Learning Engineer, HuggingFace

[M1] - Machine Learning, Agents & Generative AI Stage

4:40 PM

5:00 PM

Bridging Data Engineering with Model Development: Collaborative Workflows and Tools
[M2] - Data Engineering & DataOps Stage

4:40 PM

5:00 PM

Driving Innovation in Master Data Management at Scania: Transforming Cloud Data into Intelligent Data Products

Joe Arun Mathews

Solution Architect , Scania CV AB

Robert Ciborowski

QING MDM Solution Manager , Scania CV AB

[M3] - Data Platform & Architecture Stage

4:40 PM

5:00 PM

Bridging Analytics, Governance and Culture: From insights to Impact

Julie Siezing

Director, Global Data & Analytics , GN

[M4] - Data Strategy Stage and Governance Stage

4:40 PM

5:00 PM

Democratizing Analytics through Natural Language and Conversational Interfaces
[M5] - Analytics & Decision Intelligence Stage

4:40 PM

5:00 PM

Embedding Trust in AI: Transparency, Explainability, and Ethical Frameworks as Leadership Priorities
[M6] - AI Strategy and Governance Stage

4:40 PM

5:00 PM

Fully Homomorphic Encryption and the Future of Trustworthy AI

César Soto Valero

Data Scientist , SEB Group

[M7] - Sovereignty, Infrastructure and Security Stage

4:40 PM

5:00 PM

The New Currency of Work: Staying Relevant in an AI-Driven Job Market

Natalie Halimi

Principal Product Manager, Booking.com

[M8] - Adoption and Impact Stage

4:40 PM

5:00 PM

Supporting JSON and Semi Structured Data Natively to Enrich AI Dataset Flexibility
[M9] - Databases & Data Quality Stage

5:10 PM

5:20 PM

Chairman's Closing Remarks in the Plenum Area
[P1] - Plenum

5:20 PM

6:00 PM

Expo Crawl

6:00 PM

11:30 PM

Social Program: Data after Dark