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Leaders in Data-Driven Value Creation

We’re thrilled to introduce Leaders in Data-Driven Value Creation for the first time at the 11th Swiss Conference on Data Science, spotlighting innovative business strategies in the realm of Data and AI. Take a look at the fantastic speakers that await us.

Leaders Track – Room 1+2, Floor 2

Friday, May 31


Rise of AI: Reshaping the Insurance Industry

10:00 – 10:25

AI and GenAI are with no doubts a true game-changer in the insurance industry. Insurance customers expect protection in any of their lifetime situations, at any place, and that this protection is given at a fair premium. To respond to those customer needs, we believe three things need to come together: high impact use cases, a mechanism to scale AI capabilities to any place where our customers are, and an effective AI governance that ensures proper risk mitigation. In his presentation, Christian will highlight where Zurich Insurance is on its journey and what the learnings have been so far.

Dr. Christian Westermann
Group Head of AI – Zurich Insurance Group

A Strategic Guide from Data to Value

10:35 – 11:00

Join us for an insightful session with Raiffeisen, Switzerland’s second-largest bank, as we delve into the strategic relevance of data and analytics in banking. Imagine transforming your numerous proof of concepts into scalable analytics that yield impressive outcomes! Learn from a real-life example the strategic importance of consistently broadening your focus, nurturing your data asset, and fortifying your team with each new use case. And comprehend the necessity of prioritizing your data asset over technology to triumph in your next pitch. We’ll also converse about the advantages of vertical integration to deliver outstanding results, drawing comparisons with prosperous companies like Tesla and Apple. Seize this chance to unleash the potential of your own data asset and skills.

Marco Wüst
Head of Analytics – Raiffeisen Gruppe

Shaping Pharma Data and Analytics Strategy

11:10 – 11:35

Legacy data systems and siloed analytics capabilities hinder innovation within the pharma commercial sector. This presentation details Roche’s journey in establishing a centralized, cloud-based data and analytics platform. The focus is on the strategic decommissioning of legacy systems, enabling business intelligence and machine learning use cases to accelerate business impact. The talk highlights the critical interplay of people, processes, and technology, offering a blueprint for successful cloud migration and data-driven transformation.

Dr. Yannick Misteli
Head of Engineering, Global Product Strategy – F. Hoffmann-La Roche Ltd

Driving Business Impact from Data

11:40 – 12:05

In this talk we will share how together with our business partners, we identify, develop, and deliver data-driven use case across the Migros Group. The talk will cover i) the strategic and structural context in which we operate, ii) outline the enabling and technological foundation that we are putting in place and iii) articulate with concrete examples our approach to value creation. Key takeaways of this talk include creating the data-driven impact roadmap, building the talent runway, scaling-up impact.

Dr. Fabio Torrisi
Group Chief Data Officer, Head Analytics – Migros-Genossenschafts-Bund

Through the Business Lens: The AI Evolution

12:55 – 13:20

The corporate world has been making use of AI and machine learning for decades, although we have never seen the speed and depth of change that Generative AI has delivered in the last year alone. In this talk we will have a look at how AI and its potential to deliver substantial impact have changed and how drivers and challenges for making use of AI in a business setting have evolved.

Dr. Michel Neuhaus
Head AI, Data & Analytics Center of Excellence – UBS Switzerland

Scaling Value: Data Mesh Transformation

13:30 – 13:55

In its 160-year history, Swiss Re has become a beacon in risk management, aggregating vast amounts of risk-related data. To enhance agility and enable swift, data-driven decisions in an era of unpredictability, Swiss Re pioneered a petabyte-scale data mesh. This endeavor aimed to harmonize end-user autonomy with technology selection, governance, and monitoring, amidst the fast-paced AI advancements and strict financial regulations. Successfully implemented, this data mesh now serves over half the company’s workforce, setting a new standard for data accessibility and compliance in the reinsurance sector, and fostering a unified, efficient data community.

Lukasz Lewandowski
Director Palantir Foundry CoE – Swiss Re Group

Navigating Innovation with Data and AI

14:05 – 14:30

Innovation in corporations, especially with Data and AI, is complex. Amit’s presentation unravels the challenges and strategies for success. He explores the journey from prototyping to implementation, detailing the innovation cycles and the personas involved in advocating new ideas. Through practical insights, Amit guides on overcoming hurdles and fostering a culture of innovation in a corporate setting.

Amit Jain
Head of Artificial Intelligence & Data Innovation – AXA

Reality Capture and AI

14:45 – 15:10

Hexagon’s Reality Capture solutions have accelerated the creation and use of digital twins, from rooms to buildings, cities, and nations. Making the right decisions off these digital twins requires insights on top of just the data as such. Knowing and understanding such industries requires an organization to scale beyond technology in order to sustainably provide such services. In this talk, Johannes Maunz, VP AI at Hexagon, will give an insight into how Hexagon is using Artificial Intelligence in it’s solutions, how data and AI have become a pivotal differentiator and what has been learned among the journey to get there.

Johannes Maunz
VP AI – Hexagon

Data and AI Journey: Strategies for Success

15:20 – 15:45

Tom shares Mobi’s journey in data and analytics, focusing on a strategy rooted in business value and scalability. He outlines lessons from successes and failures, emphasizing the Mobi way of how to tackle the challenges in a new area of AI. Tom explores the balance between fast innovation and robust governance through a “hub and spoke” approach, highlighting how Mobi navigates the digital landscape in the insurance industry.

Tom Walther
Head of Data & Analytics – La Mobilière