SCALING INTELLIGENCE

 

10.00 - 10.05 (EEST)

 

WELCOME

 

10.05 - 10.25

 RESPONSIBLE AI IS BETTER AI 

Linda Leopold, Head of responsible AI & Data, H&M Group 

• Why do we need to talk about the ethics of AI

• And… how do you get people to actually do that? 

 

 

10.25 - 10.45

SO, YOU HAVE DEFINED YOUR DATA AND AI STRATEGY, WHAT’S NEXT?

Ulla Kruhse-Lehtonen, CEO and co-founder DAIN Studios

Dirk Hofmann, CEO and co-founder, DAIN Studios

• How to develop a successful operating model for data and AI

• How to scale up your data and analytics initiatives

• What should the leadership pay attention to when growing the data capability

 

10.45 - 11.05

FUTUREPROOFING YOUR BUSINESS WITH RESPONSIBLE AI

Paula Kilpinen, Strategic Advisor, Wärtsilä

Harri Ketamo, CEO, Headai

• Creating business impact with human-centered and data-supported strategy

• Identifying future-critical skills, competencies and capabilities with AI

• EU Green Deal is an opportunity, but how to contextualize it?

 

 

 

11.05 - 11.25

SCALING AI RESPONSIBLY 

Debbie Evans, Group Data Protection Officer I Rentokil Initial

• Responsible AI is Profitable AI

• How do we build transparency, consequencing consciousness, human control and trust in our​ AI systems?​​

• Ethics by Design approach: How you build and maintain privacy, security and ethics in your AI development.

• How to start embedding Responsible in your organization?​ 

 

 

11.25 - 11.40 

NETWORKING

 

FROM VISION TO STRATEGY TO EXECUTION

 

11.40 - 11.55

CREATING SUCCESS STORIES - HOW TO MASTER AI ADOPTION

Mikael Ruohonen, Business Lead, Data Science & AI , Solita

• How to identify feasible problems worth solving with AI?

• How to focus AI development efforts on what matters and create value fast?

• How to scale the business value of AI and create impact that lasts?

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11.55 - 12.10

THE ART AND SCIENCE OF DESIGNING AI-BACKED ORGANIZATIONS

Jarno Kartela, Global Head of AI Advisory, Thoughtworks

• Exploring what it takes to reap strategic benefits from data and AI, and what every CXO needs to know about leading those initiatives.

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12.10 - 12.25

HOW A 383-YEAR OLD COMPANY COULD TRANSFORM ITSELF

Riku Tapper, Director, Data and Automation, Posti Group Oyj 

• AI in action - from hype to reality 

• Harnessing algorithms for parcel delivery

• Using data to fuel sustainable deliveries

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12.25 - 12.45

ACTIONABLE AI WITH RESULTS

Timo Heikkinen, CEO & Cofounder, TOP DATA SCIENCE​

• Creating new innovations with co-creation

• Developing and operating Scalable AI

• Actionable AI, From Detection to Action

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12.45 - 13.00

HOW TO SCALE AI IN A TRADITIONAL MANUFACTURING ORGANISATION

Christelle Bourdeu, Head of AI platforms, AIRBUS​

• Identifying opportunities for AI to tackle big value streams

• Building diverse teams

• Upgrading enterprise architecture

 

13.00 - 13.20

LUNCH

 

THE AI ACCELERATED ORGANISATION - THE AGILE APPROACH

 

13.20 - 13.35

TRUSTWORTHY AI - an approach to increase AI adoption and shared value

Sami Laine, Data Management Advisor, AIGA Business Lead, Siili Solutions Oyj

• Why do most AI projects and  ideas fail before production?

• What trustworthiness means and why should you focus on building it to AI services?

• How to make failing AI ideas and projects work?

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13.35 - 13.50

AI FOR BETTER (INTER)ACTIONS

Juho Friberg, Country Manager Finland, ServiceNow

• Actionable AI means harnessing data for the benefit of more efficient actions and more fluent interactions

• To realize the full potential of AI, it should take place where data is produced, and action and interaction happen  

• Examples of Actionable AI from Manufacturing, Financial Services and Healthcare

 

13.50 - 14.05

FIRESIDE CHAT

THE NEW ERA OF DATA ENTREPRENEURS 

Iiris Lahti, Founder, AI Roots

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Designing, building and deploying a data or AI solution that has a real and sustainable business value requires a new level of ownership and dedication also from the analyst, data engineer or data scientist. Business needs someone who is determined to innovate and create the most value-creative solution and help them evolve their skills and competencies along the way. 

 

The demand for skilled data experts has been booming for a long time and companies need to find and explore new ways of finding and integrating that talent. This has opened up the possibility for experienced data experts to become independent entrepreneurs, productize their expertise and get the freedom and new level of financial income they want. During this talk, we will open up more about these trends and resourcing options to you.

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14.05 - 14.20

TURNING AI INTO ROI - WHAT DOES VALUE MEAN TO YOUR BUSINESS? 

Mattias Fras, Head of AI Strategy & Acceleration, Nordea

• Innovating with AI is a great opportunity for businesses, but it requires vision, strategy, and a corporate approach to risk.

• Achieving significant business value with Automation & AI   

• How high-level corporate objectives translate into business requirements and what it means for technical stakeholders

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14.20 - 14.35

Case: Stora Enso 

Mill operations digitalization  - Stora Enso Asset Performance Management

Mika Kari, Development Manager Reliability, Stora Enso - Efora

Harri Vuolle, Head of Sales, Digitalization, Insta Advance

• Operations digitalization in a plant environment

• Benefits of Six Sigma analysis in Asset Performance Management I Digitalization & Visualization & Utilization

• Streamlining and automating data mining processes 

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14.35 - 14.50

KEYNOTE

THE FUTURE OF RETAIL IS HERE 

David Lloyd, General Manager UK, Netherlands & Nordics I Alibaba Group

• China’s rapid digital evolution

• Getting phygital 

• Consumer-driven product development at speed

 

14.55

END OF DAY