Starting 8AM CET - Stockholm, Oslo, Copenhagen Time

Starting 9AM EEST - Helsinki Time

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8.30 (EEST)

WE OPEN THE DOORS & WELCOME

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9.00 

OPENING REMARKS BY OUR MODERATOR

Jesse Kamras

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THEME 1: INTEGRATING AI INTO BUSINESS STRATEGIES

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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​

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9.40

CASE

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

Lasse Ruokolainen-Pursiainen, Principal Data Scientist, TwoDay

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

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10.00 

CASE

OPERATIONALISING AI AT SCALE FOR BUSINESSES

HP Dalen, Business Leader EMEA,  IBM (DK)

 

​Recent studies have shown that brands associated with AI are behind on trust. And as long as only about 5% of AI experiments are operationalised, businesses won't get the full potential of AI. The time for talk is over. I will discuss how to operationalise AI in a trusted and governed way to achieve AI innovation at scale.

- How do you mitigate the trust deficit associated with AI?
- How do you move your AI experiments from your sandboxes to full scale production?

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10.20 

NETWORKING BREAK

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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)

Giorgio Danesi, Business Transformation Services Leader, IBM Consulting 

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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?

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THEME 2: AI SCALING FOR INTERNAL BUSINESS PROCESSES

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11.20 

CASE

AI-POWERED PROCESS DEVELOPMENT

Joona Soratie, VP of Process Analytics & AI, Vuono Group

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Get to know the basics of digital process development and the leading tools for success—delivered through concrete, business-driven examples. 

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• Why do many organisations fail to create measurable business value with AI?

• What are the best use cases for AI in business process development?

• How does a modern process development tool stack look like?

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11.40

CASE

BEYOND PILOTS - Architecting the AI-Enabled enterprise for scalability

Sumanta Saha,PhD, Principal Architect, Google Cloud  ​

Matthew Wooller, Data Strategist, Codento

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• 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?

• What are autonomous agents and how can they help you achieve your AI business objectives?

• Real world examples and success cases

 

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12.00

LUNCH & NETWORKING BREAK

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13.15

CASE

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

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

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• 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?

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13.35

CASE

ENTERPRISE INTELLIGENCE - Leveraging AI for Business Growth

Seppo Kuula, CEO, Cloud1

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• What is the nature of AI development and the future of AI development?

• How to utilize AI in business operations?

• AI developments' requirement for data platforms, information systems and – management

• Examples of knowledge management (Enterprise AI), operational efficiency and product development

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13.55

NETWORKING BREAK

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14.30

CASE

THERE IS NO AI STRATEGY WITHOUT A DATA STRATEGY

Markus Päivinen, Country Manager, Snowflake Finland

 

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

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14.50

CASE / KEYNOTE

AI GOVERNANCE - Crafting frameworks for accountability and transparency

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

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

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15.20 - 15.25

END REMARKS BY OUR MODERATOR

Jesse Kamras