Starting 9AM CET - Stockholm, Oslo, Copenhagen Time

Starting 10AM EEST - Helsinki Time

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9.00 (CET)

WELCOME & MORNING STUDIO

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SESSION 1: STRATEGIC AI ADOPTION

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9.05

Opening keynote: Embracing AI for Competitive Advantage

Arash Afsarian, VP, Head of AI/D&A and Sustainability, CapGemini (SE)

• How to get ahead of the curve: AI in today's world and why explore its potential

• Process Optimisation: Apply AI automation and robotics to streamline operations, reduce errors, and improve efficiency

• Generative Experiences: Realise the potential of Generative AI in improving customer experience

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9.25

AI in Process Automation: Streamlining Operations and Efficiency 

Maria Morais, Director, Consumer Industry Cloud, SAP (UK)

• Intelligent Workflow Automation

• Predictive Maintenance: detecting equipment failures, scheduling proactive maintenance and minimizing downtime

• Cognitive Document Processing: Accelerating Processing and Data Accuracy

 

9.45

Leveraging AI for Unparalleled Customer Experience

Bruno Tinoco, Head of Data Science & AI, novobanco (PT)​

• Seamless and personalized customer experience by predicting customer behaviour

• Adopting AI is first and foremost a cross-functional leadership challenge

• Framwork, process and tools for achieving continuous improvement and deployment

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10.05

Sustainable AI and AI for Sustainability: a Catalyst for Transformation

Iveta Lohovska, Chief Technologist for AI, HPE (AT) 

• Finding the intersection of AI and Sustainability

• How to Leverage AI to Make an Impact on the Most Challenging Global Issues?

• The Environmental Impact of AI and Exploring Ways to Reduce Carbon Emissions, Optimising Resource Use, and Promoting Circular Economy Principles

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10.30

Comments from AI expert

TBA 

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10.35

NETWORKING BREAK

 

SESSION 2: AI-DRIVEN INSIGHTS AND INNOVATIONS

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10.50

Predictive Analytics: Driving Smarter Business Decisions

Petri Hassinen, Head Data & AI

• Data-driven Insights: Utilize predictive analytics to extract valuable insights from data and gain a deeper understanding of customer behavior, market trends, and business dynamics

• Anticipate Future Trends: Leverage predictive models to forecast future scenarios and trends, enabling proactive decision-making and strategic planning

• Optimize Resource Allocation: Use predictive analytics to optimize resource allocation, such as inventory management, staffing, and budgeting, based on anticipated demand and market conditions.

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11.10

 Clash of Culture - Combining Customer Centricity with Data Driven

Jovan Zamac, PhD, Head of Data Science, Handelsbanken (SE)

• What AI does to your culture and how to grow your human capital with AI?

• How to combine knowing your customer with automating decision-making?

• What happens with customer experience when humans are not responsible for decisions? 

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11.30

Fireside Chat: Customer Foresight - Harness AI-Driven insights to discover opportunities, delight customers, and optimize your profits

Janne Flinck, Data & AI Lead, Codento (FI)

Sandra Calvo, Google Cloud (FI)
 

• Use data and AI to understand and predict customer demand and behavior, to identify new market segments and new revenue streams

• Delight your clients with Generative AI and help them find the right offering at the right price

• Determine Customer Lifetime Value (CLV) to drive retention, customer acquisition, and profitable business operations

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11.50

 Taking control over your information and AI lifecycle, at scale

Frank Ketelaars, European Information Architecture & Integration technical lead –IBM Technology – Data & AI​

• Trust in an imperative in successfully using AI for business

• Align with organizational goals and obtain buy in from business stakeholders

• Ensure data readiness by building a robust information architecture with quality control measures and governance

• Govern the end-to-end process from the birth of an idea, to infusing analytics into business processes

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12.10

LUNCH BREAK

 

SESSION 3: IMPLEMENTING AND SCALING AI STRATEGIES

 

12.30

 A Case Study: Innovate to Elevate - Redefining Customer Service with AI and Disruptive Tech

Matthew Doerner, Chief Data and Analytics Officer, Teleperformance (SE) 

• Join Matthew Doerner for an enlightening discussion as we dive into the dynamic world of customer service transformation. Matt will explore how to harness AI's potential to elevate your customer service standards and redefine success in the digital era. Don't miss this opportunity to stay ahead of the curve and unlock the secrets to reimagining customer service excellence!

 

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12.50

AI Governance and Ethics: Ensuring Responsible AI Adoption

Lisa Clark, DR, Head of Data Science, Eviden (UK)
 

• Ethical Frameworks: Establish clear ethical guidelines and frameworks for AI adoption, ensuring that AI systems are developed and used in a responsible and unbiased manner.

• Transparency and Explainability: Promote transparency and explainability in AI algorithms and decision-making processes to build trust and accountability with stakeholders.

• Regular Audits and Monitoring: Conduct regular audits and monitoring of AI systems to ensure compliance with ethical standards, privacy regulations, and fairness in outcomes.

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13.10

CASE: Reshaping Supply Chain with AI

Luciana Metherall, Head of Group Supply Chain Digital & Data Strategy, BAE Systems (UK)

• Optimizing Supply Chain with AI: Enhancing Efficiency and Resilience

• AI-powered demand forecasting

• inventory management 

• logistics optimization 

• risk mitigation strategies 
   

13.30

Data & AI powering the energy industry transformation at Helen

Mikko Muurinen, Head of Data & AI, Helen (FI)

• Our 3 digitalization pillars - Digital Operations, Digital Customer and Digital Workplace - all require data, analytics & AI

• Operations: AI is essential to the new distributed energy system

• Customer: Using data & AI to improve customer experience and provide personalized service

• Workplace: How we are building a data driven company

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13.55

END OF DAY