OCT 12th, 2023
Starting 9AM CET - Stockholm, Oslo, Copenhagen Time
Starting 10AM EEST - Helsinki Time
WELCOME & MORNING STUDIO
SESSION 1: STRATEGIC AI ADOPTION
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
Driving AI Adoption in Innovative Use Cases
Maria Morais, Director, Consumer Industry Cloud, SAP (UK)
How is AI impacting all Work Sectors: Healthcare, Retail, Energy, Manufacturing, Financial Services, just to name a few
AI (GenAI) as a Disruptive Shift for Businesses changing how they are run
Lifting the veil of AI powered decision-making and process optimization
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
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
Comments from AI expert
SESSION 2: AI-DRIVEN INSIGHTS AND INNOVATIONS
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.
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?
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
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
SESSION 3: IMPLEMENTING AND SCALING AI STRATEGIES
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!
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.
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
risk mitigation strategies
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
END OF DAY