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AGENDA

OCT 6th, 2022

Starting 9AM CET - Stockholm, Oslo, Copenhagen Time

Starting 10AM EEST - Helsinki Time

9.00 (CET)

WELCOME & MORNING STUDIO

SCALING INTELLIGENCE

9.05

 Creating a solid data strategy in support of the digital ambitions

Laura van Beers, Chief Data Officer, Integrated gas, Shell (NL)


 

9.20

 Responsible AI

Saara Hyvönen, Co-Founder, Data & AI Executive, DAIN Studios (FI)

  • What is  Responsible AI and why is it important

  • How to implement AI in a responsible manner and what are the key things to consider

  • What are the requirements towards your organisation and operations in making this happen


 

9.40

 From Model-Centric to Data-Centric AI: Practical steps to business relevant AI

Sami Laine, Competence Lead, Data Management Advisor, Siili Solutions (FI)
 

  • What does Data-Centric AI mean?

  • Why is Data-Centric AI so important for business success?

  • How is Data-Centric AI done in practice?

 

9.55

 Ethical AI

Ann-Elise Delbecq, Data Science Sales Leader, IBM (BE)
 

  • Incorporate AI to your business operations in an ethically sustainable way, while capitalising on the benefits

  • How to optimise guidance and build organisational awareness

  • Play an active role in identifying AI ethical risks, monitor impacts and engage stakeholders

10.15

 Scaling efficiently an AI forecasting tool in a complex organization

Anne-Laure Cebile, Data Science Team Leader, Danone (FR)

  • Building a tool to support supply chain optimization

  • Balancing local specificities versus scalability

  • Ensuring sustainability of a live tool

10.30

Comments from AI expert

Kian Abolfazlian, Head of Data Transformation, Philips (NL)

10.35

NETWORKING BREAK


 

FROM VISION TO STRATEGY TO EXECUTION

10.50

 How can we use modern technology to help us quickly in a crisis?

Daniel Engberg, Head of AI, Data and Platforms, SAS - Scandinavian Airlines (SE)

11.05

 FIRESIDE CHAT: Case Loimua

Juha Latvala, Chief Digital Officer, Insta (FI)

Juha Puolakka, Technical Director, Loimua (FI)
 


 

11.20

 ALL PERSONALISED EVERYTHING
 

  • New Data Intelligence Drives CX-innovation: rethink your customer engagement models

  • AI can make the experience more personalised

  • Enhance the customer experience online, on apps and websites

  • Customer behavior changes – how are business leaders finding innovative ways to meet the needs of their customers


 

11.35

 State of Sustainable AI in 2022

Anna Metsäranta, Head of Sustainable AI, Solita (FI)

  • Insights and findings from Solita research: Where organisations currently are with their sustainable AI efforts, in Finland and beyond

  • Components of AI sustainability

  • Why sustainable AI is sensible business

11.55

 AI – A Critical Capability in Driving A Customer Centric Strategy

Kristen Bennie, Director of Innovation and Partnerships, NatWest Group (UK)
 

  • Developing a culture that champions experimentation and the use of new technologies to drive AI adoption

  • Partnering and collaborating with others is key to driving business innovation and new value for customers and organisations

12.10

Comments from AI expert

Kian Abolfazlian, Head of Data Transformation, Philips (NL)

 

12.15

LUNCH BREAK

 

AI ACCELERATED ORGANISATION – THE AGILE APPROACH

 

12.35

 CASE: Reshaping Rolls-Royce’s Supply Chain with AI

Muhannad Alomari, European AI Hub Lead, Rolls-Royce (UK)
 


 

12.50

Too many decisions, AI to the rescue

Jessie Wang, Data consultant, Thoughtworks (FI)
 

  • Data and insights are the foundation to better decisions – do you have the info needed to make the better decisions?

  • With AI, a business can stay ahead of market changes, anticipate customer desires, and react faster and more accurately than competitors. It can model every aspect of its operations to solve for multi-objective outcomes in even the most complex conditions

  • Better decisions with augmented AI - how to design a 21st century human-centric AI-based system that can outperform machine-centric approaches with far less computing resources and less data?

13.05

 FIRESIDE CHAT: From AI Pilots to Production Grade Value

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

Henrik Warfvinge, Data and Machine Learning Advisor, Google Cloud (SE)
 

  • Early challenges faced in adopting AI

  • Concrete insight on how to successfully scale AI operations

  • MLOps best practices, simplified model and data management, and continuous operations

13.20

EMPOWERING THE AI-ENABLED TEAM
 

  • Future skills - what approach to talent and resourcing should be top of mind for business leaders

  • How to truly embed AI into internal processes to enhance the teams’ capabilities, not disrupt the workflow?

  • Giving employees the training and tools they need to be developers, not just users

13.35

AI IN DIGITAL TRANSFORMATION
 

  • Technology evaluation and innovation –With unique business needs: how to know what transformative technologies are right for you and how you can find the right solution to your problem and avoiding the one size fits all approach

  • Defining strategies for working with multiple stakeholders and combatting internal resistance to change

  • Monitoring the Impact of Your Digital Transformation Journey: What are the key signs of a successful digital transformation strategy? How can value and ROI for digital investment be quantified?


 

13.50

END OF DAY

Deep Dive Agenda 2022

Deep Dive -sessions are 30 minutes in-depth discussions or presentations. Deep Dives are held in separate virtual rooms in the Event Platform. Seats are limited for each session and registration can be done on the Event Platform.

Time Zone CET

09:20 (CET)

From AI Pilots to Production Grade Value  - Winning Secrets Revealed

Janne Flinck, AI and Data Lead   Codento (FI)

Henrik Warfvinge, Data and Machine Learning Advisor Google Cloud (SE)

Google’s Henrik Warfvinge and Codento’s data and AI lead Janne Flinck will present concrete insights and lead a lively conversation on how to successfully scale AI operations. Henrik and Janne will cover topics like typical early challenges faced in adopting AI, and steps towards overcoming them by MLOps best practices, simplified model and data management, and continuous operations. There will be an open Q&A session on these topics in the end.

Co-hosted by Google’s Henrik Warfvinge and Codento’s data and AI lead Janne Flinck

11:15 (CET)

Data Strategy for Trustworthy AI: from Vision to Implementation

Ann-Elise Delbecq, Data Science Sales Leader   IBM (BE)

Artificial intelligence raises great hopes, allowing us to make decisions faster and more objectively than human judgments alone. While it keeps the promise of competitiveness, it also has a dark side, that of unwanted biases. AI is dependent on the social and cultural context of its designers and the data that feeds them. For that reason, a comprehensive approach to scaling AI, integrating Design, Ethics, Data Science, Architecture, and Engineering, is grounded around 3 Ethical principles. These 3 principles will be introduced in a round table discussion with Ann-Elise. She will share her experience with customers regarding trustworthy data and AI globally and will home in on how the EU AI act makes companies undertake actions now.

13:00(CET)

From AI to Automation: step-by-step guide to hyperautomation

Mika Jämsen, Advisory Solution Consultant   ServiceNow (FI)

These days, automating tasks within an enterprise is not that impressive...it's table stakes. If employees spend hours slugging through tedious manual work, something ain't right! At ServiceNow, we're moving beyond table stakes and into the world of HYPERautomation. In this session, we will explain how we identify problems, automate workflows, and measure tool effectiveness to make work even easier. See how we're becoming an autonomous digital enterprise using the Now Platform.

13:10 (CET)

How to strengthen your sustainable AI capabilities

Anna Metsäranta, Head of Sustainable AI   Solita (FI)

Welcome to join and discuss how your organisation can strengthen its sustainable AI capabilities to safeguard your AI investments from risks and to better respond to future requirements. Each participant can vote for discussion topics from different relevant angles:

  • Building organisational awareness & knowhow

  • Assessing the sustainability of AI solutions & practises

  • Building technical enablers for sustainable AI solutions