CDAO Frankfurt schedule

During this 10-minute networking session, the aim of the game is to go and meet two people you don't already know.  Have fun! 

The beauty industry thrives on creativity, innovation, and trust. At L'Oréal Groupe, we believe ethical AI is key to unlocking new possibilities while upholding these values. Generative AI is already enhancing our customer experiences, driving sustainability efforts, and boosting operational efficiency. But, as we embrace this new frontier, explainability is paramount. In this keynote, Franziska Eickhoff, Chief Data & Analytics Officer for the DACH region at L'Oréal, will highlight the challenges and opportunities of ethical AI, focusing on L'Oréal's commitment to responsible AI practices – from safeguarding customer data to empowering our employees through upskilling initiatives. Let's dive in and discover how ethical AI is shaping the future of beauty. 

• How can we identify and prioritize which data to bring under governance when dealing with vast amounts of data? 

• What are the challenges of regulatory compliance when applying data governance, and how can we navigate them? 

• How can we enable versatile governance strategies to serve as a vehicle for tailored data accessibility? 

• What strategies can be employed to break up data silos across business units and accelerate data-led decision-making? 

• How can we achieve strong data governance by aligning stakeholder engagement with business culture and maturity? 

Moderator: Marcin Pietrzyk, CEO –UNIT 8 

Sandeep Murali, Director, Data Excellence – MUNDIPHARMA 

Praveen Rajkumar, Head of Data Infrastructure – ZALANDO 

Thilo Schneider, Chief Data Scientist – FRAPORT AG  

Jesse Rothenberg, Head of Data & Insights Unit – ABLETON 

CROSS INDUSTRY

In 2024 it is not enough to collect data and generate analytics - the most ambitious enterprises are assembling a "data flywheel", where data is turned into operational decisions, followed by action which in turn generates more data, feeding and accelerating the flywheel. In this talk Alex Dean, CEO and co-founder of Snowplow, will introduce the concept of data flywheels, first popularized by Jensen Huang, before talking specifically about customer-orientated flywheels. Alex will propose a 'crawl-walk-run' approach to transform from prescriptive analytics through to predictive ML and finally to the AI agentic future. 

At OLX we leverage GenAI to improve our customers’ experiences and generate business value. As different use cases have different time to maturity expectations, we approach our investment in this area as a portfolio of GenAI use cases, some of which are already in production, while some others will reach maturity in the coming quarters: 

• Product Experience Innovation is about applying GenAI-enabled use cases in our existing products and user journeys. Many of those use cases are already live and drive business value, for example reducing the time to post a new ad by as much as 50% in some of our categories.  

• GenAI Platform and Services, aims to build the platform (abstraction layers and APIs to different LLM providers) to make widespread adoption of GenAI possible, as well as transversal GenAI services that can be customised in different and integrated in the customer-facing apps.  

• Disruptive Innovation. Targets to explore the more far out, disruptive GenAI applications that have the potential to transform how our business works. 

For each of those streams we will share lessons learned, success stories related to improvement of customer experience across several use cases (already validated at scale with A/B tests with millions of users), and next steps. 

Data Governance isn't an easy program to land at an enterprise, as it often being perceived like fighting for controls and enforcement function. In contrary, Aleksejs Plotnikovs will share 4 true-to-life stories where we turned daily use cases in the company to position Data Governance as the source of Metadata compliance, data excellence in Sales & Marketing, true analytical insights enabler and, finally, even as a revenue generator - by opening a new profitable business line. 

Aleksejs Plotnikovs, EMEA Lead, Data & AI Strategy, Governance and Analytics - MICROSOFT 

Join us for an in-depth keynote on how Home Credit/Embedit, a global leader in consumer finance, transformed its data infrastructure using Keboola’s to overcome the challenges of data silos, inconsistent governance, and security concerns. By implementing a data mesh architecture, Home Credit/Embedit enabled finance teams to access unified, real-time data, enhancing their ability to perform comprehensive analytics and research. This session will explore the methodologies and best practices that facilitated this transformation, driving operational efficiency and strategic decision-making across nine countries. 

Takeaways: 

 Seamless Data Integration: Discover how Home Credit's/Embedit’s data mesh architecture enabled finance teams to integrate and access real-time data from diverse sources effortlessly. 

Enhanced Governance and Security: Learn about the implementation of robust governance frameworks ensuring compliance and data protection. 

Real-Time Analytics: Understand how automation facilitated instant access to data, enhancing the ability to perform timely and accurate analytics. 

Scalable Transformation: Explore the scalable, incremental approach that allowed continuous improvements and adaptation to evolving business needs. 

Three areas AI going to transform the financial services inside- out. 

• Customization and Predictive Banking: Highly customized financial products and predictive banking services that anticipate customer needs. 

• Risk Management: Intelligent automated risk management for internal risk and external risk. 

• Operational Transformation: Reducing redundant workloads and cost reduction 

• In what ways has data and analytics transformation improved operational efficiency within organizations? 

• How have data-driven tools and processes affected employee productivity? 

• How can improvements in customer experience and satisfaction be quantified following a data and analytics overhaul? 

• How do businesses align their analytics initiatives with strategic business objectives to maximize long-term value? 

 Moderator: Spiros Apostolou, Engagement Director - UNIT8 

Sandeep Murali, Director, Data Excellence – MUNDIPHARMA 

Efrem Ghebru, Senior Manager Digitale Transformation - Data & Analytics Excellence  

 ENBW 

Matthias Ernst, Global Head of Group Data & AI Strategy - MERCK GROUP

Alexander Borek, Director of Data Analytics -  ZALANDO  

• What successes and challenges have organisations encountered in data democratisation? 

• How can we train individuals to become data-driven, from newcomers to leaders? What incentives are most effective, and how do teams interpret "being data-driven"? 

• What role should data functions play in supporting transformation across the organisation? 

• How can we involve stakeholders at all levels, such as leadership and specific business domains, in the democratisation journey? 

• How should we assess the effectiveness and impact of our data democratisation efforts? 

Moderated by: Tizian Kronsbein, Head of DAIN Academy – DAIN STUDIOS 

Rafał Wojdan, Director of Data Science - RYVU THERAPEUTICS 

Stefan Kühn, VP Data & AI  - AIR

• Unveiling Global and Regional Skill Rankings: Discover the latest insights from our Global Skill Report, highlighting the top business, tech, and data science skills crucial for maintaining a competitive edge in Europe. 

• Emerging Tech Skills and Growth Trends: Gain an understanding of the year-over-year growth in emerging tech skills, with a focus on Generative AI, and learn how these trends are shaping the future workforce. 

• Effective Learning Pathways: Learn about the preferred learning pathways for in-demand roles, and how to implement impactful learning programs that drive innovation and value within your organization. 

• How can organizations implement modern data architectures that accommodate real-time analytics and large-scale data processing? 

• What are the most effective types and sources of data (first-party, second-party, third-party) to collect for improving analytics accuracy and how should these data types be structured for optimal use? 

• With the increasing amount of data sources and types, what are the key challenges in integrating diverse data streams, and how can organizations overcome them to create a unified view? 

• How should data be structured and prepared to leverage predictive analytics effectively? 

Moderator: Evgeni Hasin, Head of Data & Analytics – AUTODOC 

Ricardo Rodrigues, Head of Data Governance - STELLANTIS GROUP 

Vinoth Kannan, Head of Data Management - ZF GROUP 

Stefan Kühn, VP Data & AI – AIR UP 

• • How to identify and prioritise which data to bring under governance when dealing with vast amounts of data 
  • Navigating the challenges of regulatory compliance with applying data governance 
  • Enable versatile governance strategies as a vehicle for tailored data accessibility 
  • Break up data silos across business units and accelerate data-led decision making 
  • Achieve strong data governance by aligning stakeholder engagement with businesses culture and maturity 

Moderator: Vinoth Kannan, Head of Data Management - ZF GROUP   

Sandeep Murali, Director, Data Excellence – MUNDIPHARMA 

Ricardo Rodrigues, Head of Data Governance - STELLANTIS GROUP 

Sebastian Smerat, Head of Data-driven Organization - THYSSENKRUPP MATERIALS SERVICES  

This presentation will explain how Fraport is leveraging Artificial Intelligence (AI) to ensure operational efficiency and secure future growth. We will discuss the strategic AI@Fraport initiative, which contributes to operational excellence and supports daily tasks, as well as innovative solutions in noise complaint management and the automatic handling of loading crews that optimize processes and enhance the customer experience. Additionally, we will highlight FraportGPT as an example of how generative AI can be utilized effectively. 

• How are organizations adapting their data strategies to harness the capabilities of generative AI, and what challenges do they face in integrating these technologies into their existing data infrastructures? 

• With the increasing reliance on AI tools, what strategies are essential for ensuring robust data governance and maintaining ethical standards in data usage? 

• As edge computing gains prominence, allowing data processing closer to the point of creation, what impact does this have on businesses' ability to make real-time decisions? 

• Given the push towards making data more accessible across various levels of technical expertise within organizations, how are companies ensuring that anthis broader access does not compromise data security and governance? 

Moderator: Dr. Pankaj Kumar Mishra, Head of Data Science - DISH DIGITAL SOLUTIONS (METRO AG) 

Saurabh Goyal, Product Manager – COMMERZBANK 

Joachim Schaper, Head of AI and Big Data – Porsche Engineering Services GmbH 

Alexander Borek, Director of Data Analytics – ZALANDO 

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! 

The digital transformation and automation of operational processes are key to future business success. Advanced analytics and machine learning are excellent tools to assist in gaining business insights. However, how can we bring them to life, acting in real-time? How can we use them to automate operational processes? What challenges are we facing, and how can we overcome them? How do we manage the cultural change in enterprises when AI takes over? 

As a corporate data governance function, we were tasked with establishing a company-wide data governance foundation. This includes creating a unified taxonomy, defining key data-related roles and responsibilities, determining tooling requirements, and devising approaches to measure and improve data quality. 

In a heterogeneous corporate environment like ZEISS, characterized by a "branded house" structure, establishing a data governance foundation poses several challenges. These include varying maturity levels among business units, differing mindsets and expectations regarding federation, and diverse organizational structures. 

To overcome these challenges, a Data Governance Program was established, driven by the central data governance function and supported by two pilot business units. Over a 15-month period, we addressed the aforementioned topics to construct a data governance framework that can now be utilized by all business units at their own pace. 

In addition to assisting business units in customizing the framework to their specific needs, the central data governance function will focus on expanding the framework and ensuring the sustainability of the program team's efforts thus far. 

Dive into the world of data management strategy with us as we unveil an approach that starts from the initial idea and goes all the way down to the practical execution. This journey involves revamping the coordination of data flows, storage methods, and accessibility, all while keeping in tune with the direction of organizational goals. Join us in this adventure that promises to transform raw data into a masterpiece of creativity, full of efficiency and enlightening discoveries. 

• How can data management strategy be creatively optimised from the top-down? 
• What key factors are involved in harmonising data flows, storage, and accessibility? 
• Why is aligning data management with organisational goals essential for efficient strategy implementation?  

Aleksejs Plotnikovs, EMEA Lead, Data Governance, Analytics and AI  

 MICROSOFT 

Jonas Dieckmann, Global Manager - Data Intelligence & Team Lead Data Engineering 

PHILIPS

• • In the rapidly evolving field of data analytics, how do you ensure your team stays ahead in terms of skills and expertise? 
  • What challenges have you faced in recruiting skilled data professionals, and how have you overcome them? 
  • How do you foster a positive and growth-oriented work culture that encourages talent retention? 
  • How does your team stay abreast of emerging trends, and how do you integrate this knowledge into your workflow? 

  Jochen Baumeister, Global Head of Behavioral Science & Data Science  

  SANDOZ 

   

   

  Dr. Hiba Arnout, Manager & Team Lead Artificial Intelligence  

   MHP – A Porsche Company 

Data modernisation has become critical for businesses that want to stay competitive in today’s data-driven world. 

Cloud is an enabler of data modernisation, providing organisations with a flexible and scalable platform to store, manage, and analyse their data. However, many enterprises encounter obstacles, including security and privacy constraints, along the way.  

How can organisations securely migrate to the cloud to make good on the promise of a data-driven business that accelerates innovation, AI initiatives, and business intelligence? 

Join Alasdair Anderson, VP at Protegrity to:  

• Understand the competitive advantage of data modernization 
• Learn how to protect your data through a successful migration to the cloud 
• Discover how to make data secure, yet accessible to meet business needs 
• Walk through customer success stories of cloud based data modernisation 

This talk will present wefox's 12-month journey to data democratisation, guided by four strategic pillars:  

- Building, inspiring and empowering an analytics Community,  

- Deploying a robust Self-Service Data & Analytics Platform,  

- Refocusing delivery on highly reusable and interoperable Data Products, and  

- Redefining the primary role of the Data Analytics team from development to enablement.   

I'll share insights on how initiatives like establishing a DataOps team, assembling a highly engaged power-user Analytics Community, launching a one-stop-shop Data and Analytics resource hub, etc. have enabled us to do 2x more and 5x faster, with 1/4 of the capacity. 

• • This session highlights how UniCredit utilises extensive financial data to enhance customer support and drive business innovation. Gareth Farr will explore the integration of advanced analytics and big data in the UniCredit strategic decision-making processes, demonstrating their impact on customer service and product development. 

Education stands as one of the industry's most profoundly disrupted by the advent of Large Language Models (LLMs). The IU Group has established itself as a pioneering force in this transformation, marking the first-ever confirmed large-scale impact of AI-enabled features on student outcomes. However, our ambition didn't stop there. We've leveraged our expertise in cutting-edge NLP technologies to transform the business as a whole. Curious about how we achieved this and how you can apply our learnings to your domain? Join our session to discover more! 

• • Recognizing the critical role of data strategy within overall business planning 
  • Exploring the responsibilities of a data steward in maintaining data integrity and adherence to regulations 
  • Emphasizing the significance of a strong data framework for efficient data management 
  • Investigating how solid data architecture can bolster scalability, performance, and data merging 
  • Strategies for constant enhancement of data quality to facilitate data-informed decision-making 

   

  Vivek Nema, Vice President - Credit Suisse

   

   

  Alexander Yasnogor, VP Engineering Data & Finance  

   FINN