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08:00 - 08:45
Registration & Coffee in the Exhibition Area
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08:45-08:50
Chair’s Opening Remarks
Aleksejs Plotnikovs - Founder of chiefdata.ai, and former Lead of Data & AI Strategy at Microsoft -
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08:50-09:00
Speed Networking – Making new connections at CDAO Frankfurt!
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!
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09:00-09:30
Presentation: Ethical AI and the Impact of Explainable AI on Business Trust
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.
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09:30-10:15
Panel Discussion: Turning Insights into Action: Does Data-Driven Change Deliver?
- 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
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10:15-10:45
Presentation: Private GPT: The Killer App
Udo Würtz - Chief Data Officer - FUJITSU
Discover how Private GPT is revolutionizing the way organizations handle data and AI. This presentation explores the transformative potential of Private GPT as the ultimate application for businesses and public institutions. Learn about its unparalleled data security features, which ensure complete sovereignty over your information, and its powerful customization capabilities that tailor AI solutions to specific organizational needs. We'll delve into real use case demonstrating significant efficiency gains and innovative applications. Additionally, witness a live demo showcasing its practical benefits and get a sneak peek into the future with our development roadmap. Join us to see why Private GPT is truly the killer app for today's data-driven world. -
10:45-11:15
Mid-Morning Coffee & Networking in the Exhibition Area
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TRACK A
CROSS INDUSTRY
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11:15-11:45
Presentation: Building the customer data flywheel
Alex Dean - Co-Founder & CEO - SNOWPLOW
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.
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11:45-12:15
Presentation: Unlocking the Future with GenAI at OLX: Driving Customer Experience and Business Value Through Innovation and Integration
Andreas Merentitis - VP Data / Chief Data Officer Europe - OLX
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.
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12:15-12:45
Presentation: True stories of Data Governance: From Metadata Management to Revenue Magic
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
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TRACK B
FINANCIAL SERVICES -
11;15-11:45
Presentation: Breaking Down Data Silos: How Home Credit Unified Global Operations
Vladimir Novotny - Director of Group Strategic Risk Management - HOME CREDIT
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.
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11:45-12:15
Presentation: Future of Financial Services in the AI era
Dinto Jose - Vice President – Merchant Solutions - DEUTSCHE BANK
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
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12:15-12:45
Presentation: Data Strategy and Data Governance in the Era of GenAI
Felix Wenzel - Head of Data Engineering and Strategy - ERGO GROUP
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12:45-14:00
Lunch & Networking in the Exhibition Area
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TRACK A
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14:00-14:45
Discussion group A: How Do You Measure the Benefits of Data & Analytics Transformation?
- 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
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TRACK B
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14:00-14:45
Discussion group B: Why Is Data Democratisation So Challenging, and What Can We Do About It?
- 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
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Plenary Sessions
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14:45-15:15
Presentation: Strategic Skill Development: Driving Innovation and Value in the Data-Driven Enterprise by Building Critical Skills for tomorrow
Essam Elhalhuli - , Head of Solution Consulting, EMEA - COURSERA
- 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.
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15:15-15:45
Panel Discussion: How Should You Structure Your Data for Better Analytics?
- 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
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15:45-16:15
Afternoon Tea & Networking in the Exhibition Area
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16:15-16:45
Panel Discussion: Creating an Agile & Transferable Foundational Framework for Data Governance
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- 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
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16:45-17:15
Presentation: AI-Driven Excellence: Transforming Fraport's Operations for the Future
Thilo Schneider, - Chief Data Scientist - FRAPORT AG
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.
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17:15-18:00
Panel Discussion: Riding the Wave of the Generative AI Revolution in 2024 and Beyond
- 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
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18:00-18:05
Chair's Closing Remarks
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18:00-19:00
Networking drinks and Prize Draw
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19:00
END OF DAY ONE
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08:20– 08:50
Registration & Coffee in the Exhibition Area
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08:50 - 08:55
Chair’s Opening Remarks
Gareth Farr - Head of Data Science & AI - UNICREDIT
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08:55-09:00
Speed Networking – Making new connections at CDAO Germany!
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!
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09:00-09:30
Presentation: Advancing to Zero-Touch Operations: Transferring Processes Towards AI
Markus Rotter - Head of Data Science and Software Development - VODAFONE
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?
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09:30-10:00
Presentation: Establishing a Data Governance Foundation in a Heterogeneous Corporate Environment
Uwe Klemt - Head of Data Governance - ZEISS GROUP
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.
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10:00-10:30
Fireside chat: From Summit to Source: Sculpting the Perfect Data Management Strategy
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
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10:30- 11:00
Mid-Morning Coffee & Networking in the Exhibition Area
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11:00-11:30
Discussion Group B: Tackling Talent Hurdles in the Analytics Spectrum
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- 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
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11:30-12:00
Presentation: Accelerating your Data Modernisation in the Cloud
Alasdair Anderson - VP - PROTEGRITY
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
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12:00-12:30
Presentation: Cultivating Data Democracy: wefox's Journey to Unleashing the Power of Self-Service Data Analytics
Evgeni Hasin - Director of Data Analytics - WEFOX
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.
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12:30-13:45
Lunch & Networking in the Exhibition Area
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13:45-14:15
Presentation: Riding the Wave of Advanced Analytics Marvels and Big Data Wonders
Gareth Farr - Head of Data Science & AI - UNICREDIT
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- 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.
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14:15-14:45
Presentation: Transforming EduTech with GenAI: Lessons from a Trailblazer
Mark Zakhvatkin - Director AI & Data - IU INTERNATIONAL UNIVERSITY OF APPLIED SCIENCES
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!
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14:45-15:15
Fireside Chat: Data Dynamics: Elevating Strategies, Management, and Security in the Digital Age
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- 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
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15:15- 15:20
Chair Closing Remarks
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