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AGENDA

OCT 9th, 2024

Starting 8AM CET - Stockholm, Oslo, Copenhagen Time

Starting 9AM EEST - Helsinki Time

8.30 (EEST)

WE OPEN THE DOORS & WELCOME

9.00 

OPENING REMARKS BY OUR MODERATOR

THEME 1: INTEGRATING AI INTO BUSINESS STRATEGIES

9.05 

KEYNOTE

INNOVATING WITH AI: Building, Launching, and Scaling Disruptive Strategies

Sarah Lewandowski, Global Technology & Innovation Lead, Bayer (DE) 

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How cutting-edge AI technologies are providing businesses with a unique competitive edge

  • Case examples

9.40

CASE

FROM PROOF OF CONCEPT TO PRODUCTION -  Harnessing AI to transform Core Business Operations

How is AI techniques like reinforcement learning and deep neural networks, being used to revolutionize key business operations?t

10.00 

CASE

AI FOR STRATEGIC BUSINESS RISK ASSESMENT AND MIGITATION

 

The use of AI in identifying, assessing, and mitigating strategic business risks.

10.20 

NETWORKING BREAK

10.50

DISCUSSION

STRATEGIC DECISION AND AI - How Can AI drive Executive-level strategy and governance?

Arttu-Matti Matinlauri, Head of Data & AI, Metso (FI) 

Sami Ahma-Aho, Digital Lead, Data science & AI, Neste (FI) 

Timo Nieminen, Head of AI, Fintraffic (FI)

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  • How does AI contribute to more effective decision-making at the executive level, and what are the key factors for its successful integration?

  • What role will generative AI play in shaping executive decisions and corporate governance in the future?

  • What are the biggest challenges in integrating AI into executive decision-making processes, and how have you addressed these challenges?

  • Share an example where AI significantly influenced strategic decisions in your organization.

  • Looking ahead, what emerging AI technologies do you believe will have the most significant impact on executive strategy and governance in the next five years?


 

THEME 2: AI SCALING FOR INTERNAL BUSINESS PROCESSES

11.20 

CASE

INTEGRATING AI WITH LEGACY SYSTEMS - Challenges and Strategies

Navigating the complexities of integrating AI solutions with existing legacy systems to enable seamless scalability and overcoming barriers for seamless integration and growth.

11.40

CASE

BEYOND PILOTS - Architecting the AI-Enabled enterprise for scalability

Strategies for building AI infrastructure that supports scaling from pilot projects to enterprise-wide deployment.

  • How can businesses move from AI pilot projects to full-scale implementation by leveraging autonomous agents?


 

12.00

LUNCH & NETWORKING BREAK


 

13.15

CASE

AI AND FUTURE OF WORK - Preparing your workforce for scalable transformation                       

Addressing the impact of AI on the workforce and strategies for upskilling and reskilling employees & talent acquisition.

  • How will autonomous agents transform traditional job roles, and what strategies should organizations employ to prepare their workforce for these changes?

  • As autonomous agents taken more complex tasks, what types of skills and competencies will become increasingly important for employees, and how can organizations facilitate this upskilling?

  • How should organizations redesign their workplaces and workflows to foster effective collaboration between humans and autonomous agents, ensuring both efficiency and job satisfaction?

13.35

CASE

FOSTERING INNOVATION - Creating a safe space for experimentation with AI

Building a culture that encourages experimentation and learning from failure in AI projects.

13.55

CASE

THE GREEN AI REVOLUTION - Building sustainable AI infrastructure


Exploring sustainable practices in AI infrastructure development to reduce environmental impact and promote efficiency.

 

THEME 3: AI ETHICS AND GOVERNANCE IN THE ERA OF ADVANCED AI

14.15

CASE

AI GOVERNANCE - Crafting frameworks for accountability and transparency

Ömer Adıgüzel, Technical Lead, Gen AI & AI Consultant, Lufthansa (DE) 

  • How will governance frameworks evolve to manage the ethical complexities introduced by generative AI and autonomous agents?

14.40 

NETWORKING BREAK

 

15.10

CASE

DATA PRIVACY IN THE AGE OF AI - Balancing innovation and individual rights

Examining the balance between leveraging data for AI innovation and ensuring the privacy and rights of individuals.

  • How privacy considerations change with scalable AI solutions and generative AI's capacity to create personalized content

15.30 

KEYNOTE

AI AND FUTURE GENERATIONS

Exploring the direction of AI technologies, including autonomous robots, and their long-term impact on society, employment, and ethics.

  • What are the long-term ethical obligations of today's AI developers to future generations?

 

16.00 - 16.0 

END REMARKS BY OUR MODERATOR

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