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09:20 – 10:10am CET
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Panel Discussion: How Can You Create an Agile & Adaptable Data Analytics Environment?
- Can you have agility without following the Agile approach? What are the benefits and drawbacks to each and how do you overcome these?
- How can data help the business to be more nimble?
With changing customer demands and business priorities, the needs of the organisation are changing constantly.
- How can the data analytics function remain focused yet flexible?
- How do you foster better relationships between different departments – data science, IT, and other business lines
- How do you demonstrate both short and long-term value from data & analytics?
Panelists:
- Óli Páll Geirsson, Chief Data Officer, City of Reykjavik (NEW)
- Jamill Del Rosario, Head of Group Data & Analytics, LafargeHolcim (NEW)
- Camilla Björkqvist, Global Data & Analytics Transformation Director, Danone
- Andrea Proserpio, Head of Analytics, Gruppo MOL (NEW)
- Roberto Cavicchioli, Data & Analytics Office Manager, Tetra Pak (NEW)
- Charles Southwood, Regional VP, Northern Europe & MEA, Denodo
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10:10 – 10:40am CET
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Keynote Presentation: Combining Human Insight & Augmented Analytics – the Best of Both Worlds?
- How can you capitalise on data science and artificial intelligence to uncover new business intelligence insights?
- Can augmented analytics be harnessed as a catalyst for creating a data literate workforce?
- No room for error: How to continually update models as your data changes and reduce bias
- How to overcome issues of trust and relevancy from data scientists and analysts
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10:40 – 11:10am CET
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Keynote Presentation: Case Study - Lloyd’s of London Data Analytics Transformation
- How Lloyd’s of London has been able to underpin their transformation of the insurance market on a foundation of data and analytics
- How to change your whole data ecosystem for suppliers, partners, and market participants
- What are the most effective methods of affecting behavioural change?
- Scale and automation: how to change the organisation’s thinking in order to achieve long-term change
- What are the data and analytics methods used and how were they effective?
- How they were able to deliver improved efficiency and increased value across the market
Speaker:
- Simon Asplen-Taylor, Data Lead, Lloyd’s of London (NEW)
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11:10 – 11:40am CET
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| Networking Break |
Speaker Meet & Greet |
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- Simon Asplen-Taylor, Data Lead, Lloyd’s of London (NEW)
- Óli Páll Geirsson, Chief Data Officer, City of Reykjavik (NEW)
- Jamill Del Rosario, Head of Group Data & Analytics, LafargeHolcim (NEW)
- Camilla Björkqvist, Global Data & Analytics Transformation Director, Danone
- Andrea Proserpio, Head of Analytics, Gruppo MOL (NEW)
- Roberto Cavicchioli, Group Data & Analytics Office Manager, Tetra Pak (NEW)
- Charles Southwood, Regional VP, Northern Europe & MEA, Denodo
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11:40 – 12:10pm CET
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| Breakout Presentation: How Can You Select AI & Analytics Projects That Will Demonstrate Value? |
Breakout Presentation: Case Study - How to Align the Data Science Department to Both IT and Business |
- How do you keep scalability and usability at the forefront of all solutions?
- Insights for building trust in automation
- The importance of developing small proof of concepts and checking them with future users
- Creating a roadmap for selecting projects that will add value to current business projects
Speaker:
- Robin Jose, Chief Data & Analytics Officer, wefox (NEW)
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- How the structure of an organisation affects the ability to align the objectives of data science and other business departments
- Why having the data science team sitting within their own division is beneficial for the business
- How a large insurance firm was able to integrate data science, IT and the business through establishing data science as its own separate department
- Autonomy as the key to success: learnings, takeaways and pitfalls to avoid
Speaker:
- Olivier Monnier, Chief Data Officer, Matmut
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12:10 – 12:40pm CET
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| Breakout Presentation: How to Harness the Power of Unstructured Data for Better Insights |
Breakout Presentation: Getting to Grips With Data Governance Automation for Increased Productivity & Efficiency |
- Utilising NLP to track customer sentiment at various different touchpoints
- How can you effectively gain insights from videos, pictures, media files and documents?
- In what ways can unstructured data aid compliance efforts?
- Breaking down siloes for a 360-degree view of the customer
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- How can automation assist with data governance compliance? Creating audit trails that will record all changes made to your data sources
- No silver bullet: balancing efforts between tools and technology, and stakeholder buy-in
- Integrating automation with existing data governance frameworks
- How can you reduce duplication or loss of data through automation?
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12:40 – 1:20pm CET
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Panel Discussion: Getting Smart About Artificial Intelligence – How Can You Deliver Interpretable and Ethical AI?
- Making tech work for people: how can you ensure that any AI outputs are understood by the business?
- What is your view on creating extra reasons to justify an AI recommendation? Is it a help or a hindrance?
- What does ‘ethical AI’ actually mean in practice and how can we achieve it?
- Going beyond the buzzwords – where should we be applying AI, and where shouldn’t we?
Panelists:
- Igor Rotin, Chief Data Scientist, Liebherr (NEW)
- Sid Shah, Global Head of Analytics & Insight, Conde Nast
- Detlef Nauck, Head of AI & Data Science Research, BT
- Frank Ferro, Director, Insights, PostNL (NEW)
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1:20 – 2:00pm CET
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| Networking Break |
Speed Networking |
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2:00 – 2:30pm CET
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Business of Data Session Hosted by Catherine King
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2:30 – 3:00pm CET
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Keynote Presentation: Increasing Trust in Data Through Visualisation
- Finding the right balance between aesthetical practicality and function
- Creating data literacy programmes that can keep up with the scale and pace of Big Data
- Connection, not perfection: avoiding ‘data for the sake of data and making sure that insights gained through visualisation are helping to solve problems
- Avoiding oversimplification: to what extent can data visualisation be used for complex variables such as risk and value?
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3:00 – 3:40pm CET
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| Breakout Panel Discussion: What Does Being Data-Driven Mean to Your Organisation and How Can You Truly Achieve It? |
Breakout Presentation: Artificial Intelligence and Business Strategy - How to Marry Them Successfully (Case Study of Fintech Company) |
- Becoming data-driven: a key part of data strategy and a common term of phrase. But what does it actually mean in your organisation and how do you measure it?
- How do you define data analytics impact or success?
- How to use data as a starting point for technical development, rather than undergoing technical developments with no regard for data
- It’s a marathon, not a sprint: leveraging storytelling and successful use cases on the journey to becoming data-driven
Panelists:
- Daniela Bagnaschi, Head of Data Management & Business Intelligence, Malta Financial Services Authority (NEW)
- Rob Roemers, Head of Data & Analytics, STIB-MIVB (NEW)
- Prasenjeet Bhattacharya, Global Lead of Strategic Research & Development – Innovation & Responsible Investing, NN Investment Partners
- Elnisa Marques, Analytics Senior Analyst, Mars (NEW)
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- Why AI is the power engine to shape business strategy
- Business problem as the starting point of leveraging AI
- The power of hybrid teams to gain competitive advantage and benefit from AI
- Machine learning versus human experience, or should they go hand-in-hand?
- Biggest pitfalls of AI strategy, and how to avoid them
Speaker:
- Natalia Lyarskaya, Chief Data Officer, ZestMoney
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3:40 – 4:10pm CET
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Sponsor Keynote Presentation: How to Harness the Power of DataOps for Improved Data Science Practices
- How to instigate the shift towards viewing data as a product
- How can DataOps be applied to model development?
- In what ways can DataOps assist with creating an agile analytics environment?
- Creating the right language for stakeholder buy-in
- Identifying waste and increasing collaboration between departments
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4:10 – 4:40pm CET
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| Networking Break |
Speaker Meet & Greet |
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- Robin Jose, Chief Data & Analytics Officer, wefox (NEW)
- Olivier Monnier, Group Chief Data Officer, Matmut
- Igor Rotin, Chief Data Scientist, Liebherr (NEW)
- Sid Shah, Global Head of Analytics & Insight, Conde Nast
- Detlef Nauck, Head of AI & Data Science Research, BT
- Frank Ferro, Director, Insights, PostNL (NEW)
- Natalia Lyarskaya, Chief Data Officer, ZestMoney
- Daniela Bagnaschi, Head of Data Management & Business Intelligence, Malta Financial Services Authority (NEW)
- Rob Roemers, Head of Data & Analytics, STIB-MIVB
- Prasenjeet Bhattacharya, Global Lead of Strategic Research & Development – Innovation & Responsible Investing, NN Investment Partners (NEW)
- Elnisa Marques, Analytics Senior Analyst, Mars (NEW)
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4:40 – 5:25pm CET
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| Virtual Roundtable 1A: How Can You Strike the Right Balance Between Privacy & Personalisation? |
Virtual Roundtable 1B: Are Data Lakes a Thing of the Past? – What’s the Next Frontier for Data Architecture in Your Organisation? |
Virtual Roundtable 1C: How Can You Bridge Data Analytics Talent Gap to Ensure the Diverse Workforce of the Future? |
- What are the most useful ways to create data-driven privacy programmes?
- How far is too far in terms of personalisation?
- What are the limits on the extent to which organisations can monetise data?
- Is a GDPR-style regulation on the horizon for AI? How can organisations keep up with radical changes to privacy regulations?
Speakers:
- Dimitri Malinov, Head of Business Intelligence, Data & Analytics, Lidl Digital (NEW)
- Natalia Lyarskaya, Chief Data Officer, ZestMoney
- Ozan Özgür, VP, Head of Enterprise Data Office, Akbank (NEW)
- Sid Shah, Global Head of Analytics & Insight, Conde Nast
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- How do you know what data architecture is going to work best for your organisation?
- Aligning data architecture to business needs
- How can you create clear ownership & governance models for data?
Speakers:
- Alec Sproten, Head of Data Science, Breuninger (NEW)
- Vipul Parmar, Global Head of Data Management, WPP
- Matteo Senardi, Head of Data & Analytics, Docsity (NEW)
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- What disciplines do you truly need in your organisation for success both now and in the future?
- How do you continue to create opportunities that allow people to evolve their skills and work with the technology that you need to use?
- Has there been a shift towards hyper specialisation in data analytics career paths?
- How do we continue to champion data analytics as a career path to those with STEM and non-STEM backgrounds?
Speakers:
- Karin Immenroth, Chief Data & Analytics Officer, Mediengruppe RTL Deutschland (NEW)
- Ross Simson, Global Chief Data Officer, CDP
- Mahesh Bharadhwaj, Head of Europe Analytics, Funding Circle
- David Pires, Head of Data Visualisation, Expedia Group
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5:25pm CET
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End of Day One
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