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08:00-08:50
Registration & Breakfast
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08:50-09:00
Chairperson’s Opening Remarks
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09:00-09:30
Opening Keynote: Exploring the Challenges and Potential of Generative AI to Empower Data Leaders
• Investigate the challenges of training and validating generative AI models, ensuring that it produces realistic and reliable results that align with the desired data distribution
• Balancing innovation with data privacy – Ensuring ethical use and responsible AI deployment
• Evaluate the possible impact of generative AI on various data-driven tasks -
09:30-10:10
The Convergence Point in Digital, Data and AI
- Rethinking data in the context of AI and digital
- Navigating regulations, privacy concerns, and biases to ensure responsible use of data and AI
- Empowering decision-makers to make informed choices and drive innovation through valuable insights from vast amount of data
Panelists:
Jeff Chen, Chief Data Scientist / Director, AIRA
Luba Weissmann, Head of Data Science, H&M GROUP
Mikael Held, Head of Data & Analytics Platforms, ERICSSON
Murat Acar, PhD, Data & Machine Learning Leader, INGKA GROUP | IKEA
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10:10-10:40
Keynote Presentation: Accelerate Business Decision-Making by Leveraging the Capabilities of Data Governance & Master Data Management
- Establishing levels of governance around data
- Exploiting automation to improve data quality, accuracy & operational efficiency
- What’s next? Dissecting where data governance is heading in the future & what this means for businesses
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10:40-11:20
Overcoming Data Silos to Build and Empowering Cross-functional Teams
• Fostering a culture of collaboration and open data sharing
• Reduction in barriers to make data more accessible
• Implementing data integration practices, ensuring that data from various sources is consolidated into a unified view
Panelists:
Charlotte Jansson, Chief Data Officer, INISSION
Jonas Blomqvist, Head of Analytics & Data, SAS - SCANDINAVIAN AIRLINES
MohammadReza Babaee, Data Product Manager, Digital Experience Organization - Digital Platform, ELECTROLUX -
11:20-11:50
Networking Break in the Exhibition Area
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11:50-12:30
How to Build an Efficient Organization in a Data Driven Culture
- Ensuring that your organization has reliable data storage, processing, and retrieval systems
- Enhancing data quality and accuracy
- Fostering data literacy through training
- Democratizing data and sharing insights across the organization
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12:30-13:00
Keynote Presentation: Overcoming the Talent Gap in Data and Analytics and Promoting Diversity, Equity and Inclusion
Isabel Barroso-Gomez - Chief Data Officer - SANTANDER CONSUMER BANK – NORDICS
- Initiatives for training existing employees in data and analytics skills
- Best practices for recruiting top talent in data and analytics and creating an environment that encourages retention
- Implementing training programs to help employees recognize and mitigate unconscious biases
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13:00-13:30
Keynote Presentation: Linking Data Strategy to Business Strategy - How Data Projects can be Prioritized Based on their Potential Impact on Key Business Objectives
- Examine ways to generate revenue from data, such as through data products, services, or insights
- Discuss the role of modern data infrastructure and technologies in supporting business strategy
- Strategies for fostering a culture where data is valued and used effectively by all employees
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13:30-14:15
Lunch & Networking Break in the Exhibition Area
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TRACK A: DATA & ANALYTICS
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14:15-14:45
Keynote Presentation: Improving your Data Strategy to Empower Customer-Centric Analytics
- Integrating data from various sources to create a unified customer view
- Leveraging data to deliver personalized experiences to customers across different channels
- Applying predictive models to anticipate customer needs
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14:45-15:15
Keynote Presentation: Building a Scalable Data Strategy to Get the Most Value from Data
Anna Baecklund - Head of Data & Analytics Platforms - HANDELSBANKEN
- Designing scalable data architecture and infrastructure to support growing data needs
- Ensuring seamless integration and interoperability of data from various sources
- Setting clear, achievable goals for your data strategy aligned with business objectives
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15:15-15:45
Keynote Presentation: Delivering a Superior Customer Experience by Unlocking Valuable Insights with Advanced Analytics
- Using advanced analytics to map the entire customer journey, identifying key touchpoints and pain points
- Utilizing analytics to predict customer churn and develop strategies to retain at-risk customers
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TRACK B: AI
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14:15-14:45
Keynote Presentation: AI/GenAI Use Cases in Ecommerce
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14:45-15:15
Keynote Presentation: Harnessing the Full Potential of AI to Boost Operational Efficiency & Customer Services
Mehrdad Mamaghani - Head of Data Science - VOLVO GROUP DIGITAL & IT
- Empowering decision-makers with AI-driven insights for more informed and timely decisions
- Enhancing marketing campaigns with AI-powered tools for better targeting and engagement
- Leveraging AI to deliver personalized recommendations and experiences based on customer data
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15:15-15:45
Keynote Presentation: Addressing Data Bias by Ensuring your AI Models are Compliant
- How to evaluate the risks of your AI models & ensure data is used ethically
- Best practices for creating a responsible AI governance framework
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15:45-16:15
Networking Break in the Exhibition Area
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16:15-17:00
Discussion Group A: Maximizing the Impact of Data-Driven Initiatives through Collaboration and Partnership Building between Data and Analytics Teams
• Discuss with your colleagues how to create a D&A practice that has common goals, is active and informal, but has an influence on the business
• Highlight the different team structures, the advantages of each and how to design them to align with business models
• Fostering a culture of shared knowledge, trust, and joint problem-solving
Contributors:
Rakesh Rana, PhD, Head of Data, HAYPP GROUP
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16:15-17:00
Discussion Group B: As More People Rely on LLMs, the Amount of Original, Unique Content will Fall, Leading to more Generic and Homogeneous Results. Agree or Disagree?"
- How are companies adapting to new regulations and societal expectations around AI ethics and responsibility?
- What best practices are emerging for integrating responsible AI into the entire AI development lifecycle?
- How is the concept of trust influencing the design and deployment of AI technologies?
- What tools and frameworks are available to support responsible AI development, and how effective are they
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17:00-17:40
Developing the Next Generation of Data Leaders
- Explore the key skills needed to become a successful and influential data leader
- State-of-the-market analysis on why data leadership is a unique challenge
- How data leaders should understand the alignment of data with organizational goals translating data insights into actionable strategies
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17:40-18:30
Welcome Reception & End of Event
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