Equinor: Who we are & where we want to go, including our digital vision 

• ‘The good, the bad & the ugly’ of 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 

Charles Southwood, Regional VP of Northern Europe and MEA, Denodo  

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 

Moderator:  

Maija Hovila, Chief Analytics Officer, Kone 

Panelists: 

Mikko Muurinen, Head of Data & AI, Helen Oy   

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

Andras Valko, Chief Data Science Officer, SBAB Bank 

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, Head of Data Governance, GN Group  

Learn about all new opportunities but also pitfalls to avoid when moving to the cloud.  
 
Today's companies need to find ways to compete using data as their foundation. Learn how many large nordic companies transform their business when they move to the data cloud while keeping governance at the center. With the data cloud companies also start monetizing their data.    

Sam Bäcknäs, Head of Sales Engineering Nordics (Majors), Snowflake  

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 

Moderator:  

Julie Siezing, Head of Data Governance, GN Group 

Panelists:   

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

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

Marie Haldorson, Deputy Director General, Statistics Sweden 

Anna Maria Wingo, Head of Data Lifecycle Management, Zenseact 

• Many companies strive to be data driven and spend a lot of money on initiatives 
• I will go through some keys that go beyond the basics of becoming data driven 

• Moving from the old: How to simplify the processes of moving various data from old legacy systems  
• How can you effectively ensure that data is being accessed & utilised effectively to support wider business units?  
• Methods to achieve a single point of truth & continuous delivery of data 

Shehzad Choudhry, Solution Consultant, Qlik 

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  

Discussion Group 1A - Unpicking Potential Opportunities in Analytics to Monetise Data & Improve Customer Insights 

How do you define ‘data monetisation’?  

What key features of a data analytics platform can help you generate monetisation opportunities?  

Different methods to increase your revenue streams 

Privacy is key: Finding the balance between data monetisation and protecting consumer privacy 

 Discussion Group Leader: Timothy Stone, Manager Solutions Consulting, Amplitude 

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

Thomas Weigle, Chief Product & Data Officer, Dentsu Sweden  

Bas Lucieer, Director of Data & ACX, Litebit 

Muhammad Raqib Rafique, Head of BI, Entercard Group

Discussion Group 1B - The Art of Retaining and Upskilling Your Data & Analytics Team 

Educating your team with diverse training courses to broaden their skillset 

Providing your team with the ‘tools’ to have greater input in the overall business strategy  

Enabling your team to flourish in different environments by fostering cross-functional collaboration 

Discussion Group Leader:

Rakesh Rana, Head of Data, Haypp Group 

Valthor Halldorsson, Director of Data & Analytics, CCP Games  

Maija Hovila, Chief Analytics Officer, Kone 

• 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  

How to evaluate the risks of your AI models & ensure data is used ethically  

Best practices for creating a responsible AI governance framework 

Preparing for the practical implications the EU AI regulations act will have for businesses & data handling 

Moderator:  

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

Panelists: 

Kjetil Kalager, Head of Data & AI, Fremtind 

Jonathan Rebane, AI Expert, anch.AI  

Filippa Jennersjö, CIO & Chief Digital Officer, OKQ8 

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 

Moderator:  

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

Panelists: 

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

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

Ryan McCabe, Senior Data Scientist & Insights Lead, Spotify 

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? 

Sajid Rafiq, Head of Business Intelligence Strategy, Kongsberg Maritime 

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 

Moderator:

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

Panelists: 

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

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? 

Diljá Rudolfsdóttir, Director of Software Delivery & Data, Ossur  

Martí Colominas, VP Head of Data & Insight, reMarkable  

Pedram Birounvand, Director of Data Management, EQT Group 

Maija Hovila, Chief Analytics Officer, Kone