An opportunity for all speakers across the two days to meet each-other, interact & network over coffee and breakfast before the event begins.

• Equinor: Who we are & where we want to go, including our digital vision
• ‘The good, the bad & the ugly’ with using SSU data lake in your digitalisation
  project to address business cases
• No vision without execution: How to deliver clear vision & best-in-class execution to gain business trust & engagement

Dirk Hesse, VP of Technology Management, Equinor

• The key components to developing a robust data fabric
• How to optimally safeguard data when deploying data fabric
• Understanding when is best to use a physical or logical data fabric

• Building your ‘brand’: Internally marketing the contribution of data & analytics to organisational success
• Utilising data metrics to gain stakeholder engagement & buy-in
• Embedding & reviewing your training programmes to improve enterprise-wide data literacy

Maija Hovila, Chief Analytics Officer, Kone

Anne-Christin Guth, Senior Director of Business Finance & Analytics, Novo Nordisk

Andras Valko, Chief Data Science Officer, SBAB Bank

Dennis Nilsson, Director of Business Intelligence & Analytics, Jyske Bank

Mikko Muurinen, Head of Data & AI, Helen Oy 

• Establishing levels of governance around data 
• Exploiting automation to improve data quality, accuracy & operational efficiency
• What’s next? Dissecting where data governance is heading in the future & what this means for businesses

Julie Siezing, Director of Data Management Office, GN Group

• Establishing where AI & ML tools can have the most business impact
• Top tips on when it is best to build your own in-house tool and when you should invest externally
• How to successfully integrate new tools with your existing architecture

• How to pinpoint & prioritise which data you should govern
• Enabling business units to self-govern data with the correct guidelines & accountabilities
• Utilising metrics to monitor the long-term success of your framework

Manish Mishra, Head of Products Strategy & Governance, IoT, Ericsson

Bahar Malavan Naryndji, Head of Compliance, Andra AP-Fonden (AP2)

Julie Siezing, Director of Data Management Office, GN Group

Anna Maria Wingö, Head of Data Lifecycle Management, Zenseact

Marie Haldorson, Head of Methodology & Architecture Governance, Statistics Sweden 

• Developing data foundations which give a single source of the truth for key data categories such as sales and cost
• Leveraging AI and ML to drive sustainable business model transformation in retail
• How to create agile analytics teams with the right culture that deliver transformational products at high speed

Ed Martin, VP of Data & Analytics, Ingka IKEA

• Adapting your existing data architecture with data mesh principles
• Data mesh & governance: Best practices for achieving federated data governance

• Identifying business cases where AI can add most value
• How to cost-effectively refine and build on the capabilities of your tools
• Best practices on measuring the value AI is bringing to your organisation & customers
• How can you leverage AI to predict future customer trends & prevent foreseeable risks?

Moderator: Maria Germain, Head of AI Program, SSAB

Anna Baecklund, Head of Data Science, ICA Gruppen

 Morten Bunes Gustavsen, Head of Customer Insight & Sales Management, DNB

 Janne Liuttu, Chief Data Scientist, Ramboll 

• Examining the steps of Tele2’s data transformation phase, key lessons learnt, and how they are equipped for the next steps
• How can you address existing business challenges, while remaining innovative for future possibilities in the landscape?

 Henrik Forsberg, Head of Data & Analytics, Tele2

• Key considerations when selecting the right data catalog tool for you 
• Identifying & prioritising business use cases to solve with data catalogs  
• Automated catalogs: Using machine learning data cataloging to simplify locating and documenting siloed data 

• Evaluating the risks of your AI models & top tips for managing these
• Best practices for creating a responsible AI governance framework
• How to eliminate bias by enhancing the ‘explainability’ of your AI models
• Preparing for the practical implications the EU AI regulations act in 2024 will have for businesses

Rebecka Söderhielm, Director of Automation & AI Value Realization, Ericsson

Kjetil Kalager, Head of Data & AI, Fremtind

Anna Felländer, Founder & President, anch.AI

Filippa Jennersjö, CIO & Chief Digital Officer, OKQ8

• How Volvo Cars successfully operationalised ML & the lessons learned along the way
• What is the model for success in deploying ML with aspects of software engineering?
• How can your organisation reap the benefits of ML engineering & operations at an enterprise-scale?

 Leonard Aukea, Head of Machine Learning Engineering & Operations, Volvo Cars

• How to identify & categorise sensitive data in the cloud to ensure for data confidentiality
• Top tips on how to manage data across various silos in hybrid cloud environments
• Building a modern data analytics platform with the use of Cloud

• How to effectively leverage predictive analytics to gain a 360-degree view of customer expectations
• Using self-service analytics for quicker decision-making & a unified view of customer data
• Deploying an automated system to collect, organise and obtain real-time data trends
  

Anne-Christine Lane, VP of Analytics & Automation, PostNord

Kristine Kyllesbech, VP of Portfolio Management, Strategy & Analytics, GlobalConnect

Ivan Karlovic, Director of Data Analytics & Master Data, Norwegian Air Shuttle 

• How to overcome the challenges of addressing low-bandwidth, non-standardised, high value target assets  
• Why it is essential to define a value proposition first before harvesting data 
• Leveraging domain expertise to enhance the value derived from data analytics 
• How can you create a successful value creation? 

Jan Chirkowski, VP of Analytics & Fleet Operations, Kongsberg 

• Implanting data ethics into the enterprise culture with a data ethics committee board
• Best practices into how to effectively anonymise large data sets
• Staying ahead of organisational & technological changes by evolving your data ethics strategy
• How to manage potential ethical risks in the age of digital transformation

 Geoffrey van IJzendoorn-Joshi, Head of Data Management, Moller Mobility Group & Country CDO Ambassador of Norway

Kalle Kantola, VP of Foresight & Data Economy, VTT Technical Research Centre of Finland 

Kasper Lynge Jacobsen, Director, Head of Data Platforms, Falck

Giovanni Leoni, Global Head of Algorithmic and AI Ethics, Inter IKEA

• Ways to stand out, in an ever-changing market, to attract the top talent 
• What is the modern skillset and expectations required for people beginning their data career?
• Is AI the silver bullet to reducing unconscious bias in the hiring process? 

Frode Drønen, Chief Data Officer, TV 2

 Diljá Rudolfsdóttir, Director of Software Delivery & Data, Ossur 

Martí Colominas, VP Head of Data & Insight, reMarkable

Pedram Birounvand, Director of Data Management, EQT Group