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  • 08:20– 08:50

    Registration & Coffee in the Exhibition Area

  • 08:50 - 08:55

    Chair’s Opening Remarks

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  • 08:55-09:00

    Speed Networking – Making new connections at CDAO Germany!

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    During this 5-minute networking session, the aim of the game is to go and meet two people you don't already know.  Have fun! 

  • 09:00-09:30
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    Panel Discussion: How Can We Supercharge Data Teams with Optimal Structures?

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    This session will explore how organisations can design and structure data teams to maximise efficiency, innovation, and strategic alignment. Key discussions will include: 

    • Balancing regulatory compliance, data security, and business agility through robust governance frameworks. 
    • Integrating AI and machine learning capabilities within data teams to drive innovation and maintain competitive advantage. 
    • Leveraging advanced data architectures and technologies (e.g., data lakes, data warehouses, and cloud platforms) to scale operations and enable data-driven decision-making. 
    • Fostering a culture of data literacy and continuous improvement, ensuring employees at all levels are empowered to leverage data effectively.

    Aleksejs Plotnikovs, Founder of chiefdata.ai, and former Lead of Data & AI Strategy at Microsoft 

    Olga Ivina, Global Head of Data Science Engineering – MICROSOFT 

    Jesse Rothenberg, Head of Data & Insights Unit – ABLETON 

  • 09:30-10:00

    Presentation: Balancing innovation & governance - infrastructure for data teams in finance

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    Financial data teams operate in an environment where agility and innovation must align with strict governance and compliance requirements. Establishing the right infrastructure is essential to maximize efficiency while ensuring security and regulatory adherence. 

    This talk explores how organizations can design governance frameworks that protect data assets without hindering business agility, leverage modern data architectures (data lakes, warehouses, and cloud solutions) to scale effectively, and facilitate seamless transitions from research to production. Insights will be drawn from building a quantitative investment infrastructure from the ground up, addressing key challenges such as high availability, versioning, real-time data access, and compliance. 

    By examining strategies that balance security with flexibility, this session provides practical takeaways for designing IT-safe, governance-aligned setups. Additionally, the discussion will highlight how collaborative platforms, and structured workflows can enhance efficiency across infrastructure and development processes. 

    Rudi Bauer, CEO –INFRAFIN 

    Hendrik Steinbach, Senior Associate & Lead Data Scientist -neXDos 

  • 10:00-10:30
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    Expert Ask-Me-Anything: AI Ethics and Data Privacy

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    An informal, interactive session where attendees ask questions directly to an AI ethics and data privacy expert. The expert will answer questions on the fly, providing practical insights and advice on navigating regulations and building trustworthy AI systems. 

     

    Focus Areas: AI ethics, data privacy, regulatory challenges. 

  • 10:30- 11:00

    Mid-Morning Coffee & Networking in the Exhibition Area

  • 11:00-11:30

    Panel Discussion: Data as a Revenue Driver: Unlocking Commercial Value in the Digital Economy

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    • What strategies can organizations adopt to identify and monetize untapped data assets while maintaining compliance with GDPR and other regulations in the German market? 
    • How can businesses create scalable data products or services that deliver value to external customers and internal stakeholders without compromising operational efficiency? 
    • What role do emerging technologies like AI, IoT, and predictive analytics play in transforming raw data into profitable revenue streams across industries such as manufacturing and finance? 
    • How can organizations balance data monetization efforts with ethical considerations and customer trust to ensure long-term commercial success? 

    Aleksejs Plotnikovs, Founder of chiefdata.ai, and former Lead of Data & AI Strategy at Microsoft 

    Sebastian Schwarz, Head of Data & AI – Customer Solutions - E. ON Technology 

  • 11:30-12:00
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    Presentation: Operational Clarity Unlocked: The Power of Metric Trees and Root Cause Analysis

    Ole Bossdorf - Chief Analytics Officer - Project A

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    Operational clarity is the key to cutting through noise, aligning teams, and making confident decisions. This talk dives into the role of metric trees, business reviews (WBRs), and data-driven root cause analysis in building a shared understanding of business performance. We'll cover how to identify controllable input metrics, use exception-based reporting (XMR charts), and avoid dashboard overload—all to ensure decisions are based on knowledge, not opinions. Expect actionable insights on structuring reviews, fostering accountability, and transforming data into a true driver of business success. 

  • 12:00-12:30
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    Workshop: Navigating AI Regulations—Obstacle or Opportunity?

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    What You’ll Learn: 

    • AI Regulatory Landscape: Key regulations and their impact on businesses. 
    • Compliance Strategies: Effective ways to ensure your AI initiatives meet regulatory standards. 
    • Opportunities in Compliance: Leveraging regulations for innovation and competitive advantage. 
    • Implementation Tips: Practical advice for integrating compliant AI solutions. 

    Workshop Outline: 

    1. Introduction: Overview of AI regulations and their significance. 
    1. Regulatory Landscape: Key regulations and their implications. 
    1. Compliance Strategies: Practical approaches and shared experiences. 
    1. Opportunities in Regulation: How compliance can drive innovation. 
    1. Implementation Tips: Best practices for compliant AI solutions. 

    How You Can Participate: 

    • No preparation needed! 
    • Share your experiences and insights. 
    • Join discussions and ask questions. 
    • Consider regulatory opportunities for your industry. 

     

    Aleksejs Plotnikovs, Founder of chiefdata.ai, and former Lead of Data & AI Strategy at Microsoft 

  • 12:30-13:45

    Lunch & Networking in the Exhibition Area

  • 13:45-14:15
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    Panel Discussion: How Can Data-Driven Decision Making Propel Business Transformation and Sustainability?

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    • How to use data analytics to optimize operations and drive cost efficiencies  
    • Aligning business strategies with sustainability objectives using data insights  
    •  Ethical data use, transparency, and governance in decision-making  
    • Overcoming common challenges in implementing data-driven strategies in complex industries 

    Dr. Christian Essling, Global Head of Data and AI E. ON Technology 

  • 14:15-14:45
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    Presentation: Profitable AI: How to Ensure AI Investments Drive Business Growth

    Elizabeth Press - Deputy Chief Digital Officer - Center for Hybrid Electric Systems Cottbus (CHESCO)

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    In this presentation, I’ll explore our journey in establishing and implementing a robust data strategy. We’ll delve into the key components of our approach: 

    • Strategy Formulation: How we developed our data strategy to align with business objectives. 
    • Team Structure: Our focus on building a team centered on enablement and strategy execution. 
    • Program Management: The critical role of program management in orchestrating our data initiatives. 
    • Data Mesh Implementation: Our experiences, successes, and lessons learned in transitioning the company to a data mesh. 
    • Enablement Framework: How we created a support structure to empower teams across the company with self-service analytics. 
    • Metrics and Success Indicators: Key performance indicators we use to measure progress and success. 
    • Challenges and Solutions: Honest insights into the obstacles we faced and how we overcame them. 
    • Future Outlook: Our vision for the continued evolution of our data strategy. 
  • 14:45-15:30
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    Interactive Roundtable: How can effective data management accelerate and drive digital transformation?

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    • What are the core principles of effective data management? 
    • How can robust data management practices speed up digital transformation initiatives? 
    • In what ways can data management enhance decision-making and drive business innovation? 
    • What strategies can overcome common challenges in data management?

    Sandeep Murali, Global Director of Data Excellence and Business Analytics -MUNDIPHARMA 

  • 15:30- 15:45

    Chair Closing Remarks