Winners of the 2024 Nordic Data, Analytics and AI Readiness Awards
An award presented by the Nordic community to nominated individuals and organisations for their exceptional work done to innovate through data, drive data and AI transformation forwards, foster talent, promote diversity and inclusion, selflessly share their knowledge with others and inspire young generations and other practitioners to follow the same path.
Individual Category Winners
This award will go to a practitioner who has shown initiative, innovation and leadership in implementation and oversight of the Company’s data management goals, standards, practices, processes, and technologies.
Michael Bendixen
Director, Data Governance | The LEGO Group
15+ years of experience leading Data Management functions in global and international organizations. Experience from the LEGO Group, NCC, Grundfos, Vestas and Arla Foods mainly within the areas of Data Governance, Data Quality, Master Data Management, Data Lifecycle, Data Migration, Master Data shared services, Data Fluency and IT management of Data Management solutions. Currently the Director of Data Governance at the LEGO Group responsible for building, implementing, and driving enterprise-wide Data Governance. An active member of several data management networks and conference speaker. Founding Board member of DAMA Denmark since 2020.
Successfully implemented Data Governance and data quality practices in a range of global and international organizations. Joined the LEGO Group 3 years ago and started the implementation of enterprise-wide Data Governance from scratch. The starting point for the implementation was that no team existed, there was no framework or concept for Data Governance and basically, we had to start from a blank page. The scope of Data Governance at the LEGO Group includes classic Data Governance on source data as well as Data Governance on data products on the analytical data platform in a federated data mesh. This also means that the scope of data is not just master data but all structured data across our applications. The implementation and scaling of Data Governance is in progress across all business functions with now more than 350+ individuals assigned and onboarded to a Data Governance role. An active contributor to the data management community through DAMA Denmark and other networks. Speaker at the Data Innovation Summit in 2024 and other conferences in Europe.
The award will be given to a practitioner who has shown initiative, innovation and leadership in organizing a high performing analytics function and with that managed to translate raw data into valuable business insights and action.
Marisa Leysen Jestin
Head of Data Insights for Commercial Digital | Volvo Cars
Innovation & Data Business Leader with a passion for driving cultural change and digital transformation. With international experience, I specialize in creating data-driven businesses that unlock value for organizations. At Telia Company, I spearheaded the Telia Crowd Insights initiative, turning anonymized and aggregated mobile network data into actionable insights across various industries—from concept to a successful business unit, sold throughout the Nordics. Since joining Volvo Cars in 2021 as Head Of Data Insights for Commercial Digital, I’ve built and lead an amazing team of talented data analysts, analytics engineers, and AI experts, who work embedded in the product areas in order to understand business challenges and leverage data for smarter decision-making, maximizing value for our end users. Our mission is to enable the best consumer experience across all platforms. We’re harnessing the power of GenAI to automate and optimize our dashboards and deep dives, allowing us to deliver high-quality insights faster than ever. Plus, we’re freeing up time to tackle more complex challenges. I believe in the power of continuous learning, so this year we launched an Analytics Academy to share knowledge within data teams and empower non-data colleagues at all levels on crucial topics like dbt, GenAI, and Data Protection. We’re also implementing analytics tools to enable self-service capabilities. Let’s innovate together!
I have a team of about 30 people distributed into 4 teams, lead by 4 amazing people.
The Commercial Digital Data Insights team serves a very large unit so we really need to have laser focus on the right priorities while balancing with our own data perspective of what makes sense to measure, which data sets are available and of quality in order to provide value.
The set up of working embedded lies close to my heart, I don’t believe in centralized organizations where a pool of data analysts will create dashboards and work in topics they don’t have a deep understanding of.
We collaborate a lot with other data teams around us, more linked to the car itself or collecting customer feedback for instance.
We have a big role to play in evangelizing, educating and making the teams we work with as self-served as possible. We are in the process of implementing an intuitive analytics tool for everyone in the unit to use. This requires a lot of our time and attention right now but I know this is a great investment for us to become an even more data-driven organization.
While we work embedded in the product areas, we are a data team as well, with daily interactions and opportunities to help one another on issues or questions we need to solve. We regularly hold demo and sharing sessions that are open for other teams (data or non-data) to join.
This award will go to a practitioner who has shown leadership/expertise in the field of data science through interpreting and managing data and solving complex problems using expertise in a variety of data niches such as science, modeling, statistics,analytics, and math – coupled with a strong business sense.
Peter Vester
Lead Data Scientist | Novo Nordisk
Lead Data Scientist at Novo Nordisk with a PhD and 12 scientific publications, and in addition. Leading a team in Generative AI, as a specialist in the field, to develop high-quality solutions across the company and help setting the overall strategy. I work on starting up and leading data science projects across different fields, such as research, clinical trials, marketing, finance, and the supply chain. My passion lies in bringing business value from data by utilising machine learning in production, going beyond the proof-of-concept stage. In addition, I am an official subject matter expert in Machine Learning for AWS and a mentor at the Danish Data Science Academy. Data Science goes beyond just numbers; it’s about uncovering the stories that they reveal and the valuable lessons we can derive from them. It can be compared to scaling a mountain, filled with its difficulties, obstacles, and challenges. Yet, the view from the top makes the climb worth it. Like any daring adventurer, I enjoy recounting my journey, the hurdles I surmounted, and the awe-inspiring experience of standing at the peak of the data mountain.
Peter, the creator and technical leader of Novo Nordisk’s AI Lab, has demonstrated exceptional leadership and vision in advancing Generative AI within the pharmaceutical industry. His efforts have significantly enhanced the company’s operations and generated substantial business value.
Generative AI Platform
Peter has developed a comprehensive Generative AI platform that has revolutionized Novo Nordisk’s operations. Key features include (but not limited to):
Interaction with Various LLMs: Ensures compliance and functionality, such as organizing conversations and saving/sharing prompts, and talking to internal data.
Text Document/Tables Integration: Allows users to query their own documents and tables
Personal Training: Tailored training based on individual goals and over 40,000 training elements.
This platform has attracted over 30,000 unique monthly users in 2024, with a business value exceeding €40 million per year.
Peter has implemented groundbreaking innovations across multiple domains within Novo Nordisk, leveraging multi-agent frameworks and advanced AI techniques.
Development: Peter has revolutionized access to clinical documents. Using multi-agent frameworks, recognized by Microsoft, he streamlined data retrieval and analysis. This has made clinical insights more accessible to non-experts, transforming how clinical data is utilized.
R&ED: He led the development of the R&ED Chat, an advanced tool based on the multi-agent framework. This tool allows researchers to use natural language queries to discover information across internal and external databases, significantly enhancing data-driven research.
Commercial Applications: Peter’s team developed a Q&A application using a RAG-based approach for front field professionals. This tool processes medical insights from healthcare professionals worldwide, providing relevant answers to complex queries. It has a documented business value of over €2.5 million per year and is live in in more than 35 countries.
This award will go to a practitioner who has shown outstanding leadership/expertise in the field of machine learning by designing & developing new machine learning and deep learning algorithms, systems, and Artificial Intelligence based solutions (including devices), resulting in proven value and impact to the business and organisation.
Filipa Peleja
Lead Data Science Engineer | The LEGO Group
Filipa Peleja is a Lead Data Scientist with a rich background in machine learning, a solid foundation in business acumen, and a dedication to advancing diversity in technology. She began her academic journey in computer science, gaining expertise in foundational areas of computing, before pursuing a PhD specializing in machine learning. Driven by a passion for bridging technical knowledge with business strategy, Filipa furthered her education with an MBA, equipping her to address complex technical challenges with a strategic, industry-oriented perspective.
Her professional experience spans global organizations, including the LEGO Group, Levi Strauss & Co., Yahoo! Research Labs, and Vodafone. Committed to empowering the next generation of tech professionals, Filipa also leads a specialized bootcamp for women+ transitioning into technology, promoting inclusivity and hands-on skills in data science and machine learning. She actively shares insights and emerging research findings through presentations at international conferences, establishing herself as a respected thought leader and speaker in the tech community.
Focused on supporting the development of scalable data science products, leading initiatives to establish engineering alignment and best practices for creating robust and adaptable ML solutions that meet industry needs. With a strong emphasis on shaping the vision and strategy for data science initiatives, I support the growth of the Machine Learning Operations team by helping define individual roles and responsibilities and drive a clear direction for the team. Also, I am committed to nurturing talent through internship programs and team mentorship, fostering a supportive and growth-oriented environment for emerging data science professionals.
The award will be given to a practitioner who has shown initiative, innovation and leadership in organizing a high-performing AI function with multiple Artificial Intelligence systems or ML models in production and with that managed to transform and improve business impact and output.
Yngvar Ugland
Colonel of Moonshots & Head of DNB NewTechLab | DNB Bank ASA
Current positions:
– Colonel of Moonshots & Head of NewTechLab at DNB Bank, Oslo, San Francisco and Palo Alto
– Industry Professor II at Center for Digital Innovation for Sustainable Growth (DIG) at Department of Strategy and Management at Norwegian School of Economics (NHH), Bergen
– PhD Candidate at Department of Mechanical Engineering at Norwegian University of Science and Technology (NTNU) in Trondheim, advisors from NTNU in machine learning and hardware and from Cornell University in human / machine interaction
– Board Member of The Polytechnic Society
– Member of the Advisor Council of Open Innovation Lab of Norway
Background:
Master of Science in Mathematics, NTNU
Executive and subject matter expert through 25 years in Big Tech, startups, scaleups and banking.
Yngvar is Norway’s biggest influencer in tech, innovation and AI by far. With his 26000+ followers on LinkedIn he reaches more people than any other professional at his competency level within AI.
He is a highly sought after speaker at international events in AI, tech and innovation. The reason is two-fold:
1) His work within moonshots innovation in his team at DNB is highly compelling to audiences. The methodology itself is cutting edge and enables the team to build a broad portfolio of moonshot options for what the future might become.
2) His communication skills and storytelling abilities leaves audiences with emotional engagement and laughter. As a standup comedian he brings humor to his talks and publications and AI to the common person through the comedy stage.
Their moonshots projects in AI does not just include business drivers for DNB, but also AI for good. A favorite example close to his heart is the financial co-pilot they built for Child Protective Services to help families with child neglect to fix their financial situation, which often is a triggering factor for neglect. The co-pilot was built on LLMs and Constitutional AI.
Yngvar has co-authored several books on moonshots innovation within AI and uses AI as an overarching example in his lectures. At the Norwegian School of Economics he teaches at Bachelor, Master and Executive Program. His is also a lecturer at Rehumanize Institute and at former Singularity University. He is a frequent guest lecturer at several universities in Norway and at INSEAD. He is also a speaker at prominent conferences such as TED and at TWIN Global.
Yngvar is not only an AI-communicator and an AI-practioner, but he also pushes the boundaries of AI through academic research. In this Industry PhD, which has been backed by the Norwegian Research Council, his research looks at AI-Driven Personal Advisors in a High Trust Societies, for better personal wellbeing, finances, mental health and societal contribution
This award will go to a data engineer who has shown a material and value impact on his/hers constituents through managing and organizing data & data pipelines, while also keeping an eye out for trends or inconsistencies that will impact business goals.
Saleem Pothiwala
Founder, Data Engineer | Kermit Tech AS
Saleem Pothiwala is a seasoned data engineering expert with over 25 years of experience in data architecture, integration, and governance. With extensive knowledge across various industries, including finance, telecom, and retail, Saleem is an AWS Certified Solutions Architect and holds a StreamSets Black Belt. He specializes in building robust, scalable data solutions, enabling organizations to unlock valuable insights. As a proactive mentor and community influencer, he shares best practices, innovative use cases, and thought leadership, driving data excellence. Saleem’s collaborative approach and technical acumen make him a vital asset in transforming data into strategic business value.
Saleem Pothiwala is applying for the Data Engineering Professional of the Year award, driven by his outstanding contributions to data engineering, innovation, mentorship, and industry impact. With over 25 years of experience, Saleem has consistently proven himself as a leader across multiple sectors, including finance, telecom, and retail, where he has led transformative projects for clients and companies.
One of Saleem’s standout projects was at DNB, Norway’s largest financial services group, where he served as Operations Lead and Senior Data Engineer. There, he led the development of DataOps-enabled pipelines, decommissioning legacy data sources and migrating them to a unified Data Lake. This transformation streamlined data storage and retrieval, significantly reducing processing time and enabling real-time analytics and reporting.
Saleem’s expertise in data integration was also evident at Shell, where he served as Data Integration Lead. In this role, he implemented enterprise-wide services using StreamSets, a technology in which he holds a Black Belt. His work involved designing data pipelines that streamlined ingestion and processing, enhancing Shell’s agility and setting new standards for data integration.
In Norway, Saleem is an active contributor within the Norwegian Data Society’s Data and BI Analytics group, helping organize events that foster a connected community of data professionals. Additionally, as Data Platform Architect for Kreftforeningen, he built an Azure Data Platform, delivering scalable solutions that support the organization’s healthcare mission.
Saleem’s leadership, mentorship, and commitment to advancing data engineering make him a deserving candidate for the Data Engineering Professional of the Year award.
The award will be given to a practitioner who oversees the responsible use of AI technologies, ensuring that AI systems align with ethical standards, regulatory requirements, and the company’s values.
Luis Martinez
AI Product Compliance Manager | ASSA ABLOY
Luis Martinez is a seasoned expert in AI policy, regulation, and compliance with over a decade of experience. Currently serving as the Global AI Product Compliance Manager at Assa Abloy, Luis has been instrumental in developing and implementing AI compliance frameworks, ensuring alignment with ethical standards and regulatory requirements. Previously, at Volvo Cars, Luis led the development of corporate positions on AI governance and engaged with authorities to influence regulations. With a strong background in bridging technical and policy domains, Luis is dedicated to fostering responsible AI solutions that prioritize user privacy and ethical considerations
The primary strategic objective of Luis’s work is to ensure that AI systems align with ethical standards, regulatory requirements, and the company’s values. This involves monitoring the development of AI laws and regulations in the EU, US, and China, and outlining the AI Compliance Framework in collaboration with key functions such as Information Security, Product Compliance, and Security and Privacy/Legal at the group level. Luis has led the development of AI product compliance directives, guidelines, and requirements, supporting their implementation across various divisions in his organizations. Additionally, he has provided training on AI product compliance requirements to internal teams, facilitating alignment in the implementation of group requirements relating to AI product compliance. One of the key challenges Luis has faced is navigating the complex and ever-changing regulatory landscape of AI technologies. This includes staying abreast of developments in AI laws and regulations across different regions and ensuring that the company’s AI systems comply with these regulations. Another challenge is fostering collaboration between various departments, including marketing, IT, and customer service, to ensure the successful implementation of AI compliance frameworks. Luis has also had to address potential ethical challenges related to fairness, accountability, transparency, and privacy in AI systems. His work has also involved proactively advocating for clear and non-restrictive AI regulations through internal and external dialogues, striking a balance between innovation and ethical safeguards. Luis Martinez’s dedication to ensuring the responsible use of AI technologies, his innovative solutions to complex challenges, and his significant contributions to the Nordic community make him a deserving nominee for the Responsible AI Professional of the Year award. His work exemplifies the importance of aligning AI systems with ethical standards.
The award will be presented to a practitioner who has excelled in advocating for and amplifying the importance of Data and AI both within the community and beyond. This individual has also supported the community by organizing meeting platforms, fostering new collaborations, and leading knowledge-sharing initiatives, ensuring that the collective voice and expertise of the community are heard and advanced.
Anca Iordanescu
VP Engineering, Future Store, Founder WomeninTech Alliance- AI Society | IKEA Retail (Ingka Digital)
Anca is a distinguished technology leader and AI advocate with a PhD in Computer Science. As the founder of the WomenInTech Alliance and AI Society, she empowers women in AI through education, mentorship, and advocacy for ethical practices. The AI Society, under her guidance, provides women with valuable resources, training programs, workshops, and networking opportunities, while offering mentorship to connect members with experienced AI professionals. It supports women-led AI startups through incubator programs, funding opportunities, and collaborative spaces to develop new technologies. In her role as VP of Engineering for IKEA’s Store of the Future, she drives digital transformation and innovation in retail. An award-winning professional and sought-after keynote speaker, Anca’s work has made a significant impact on advancing AI and promoting diversity in technology.
Anca’s extensive contributions to AI and her unwavering dedication to promoting diversity within the AI field make her an exceptional candidate for the “Data&AI Voice of the Year. As a technology leader with a PhD in Computer Science, Anca has made a lasting impact across various industries, driving digital transformation, innovation, and inclusivity. Her work as the founder of the WomenInTech Alliance and AI Society has been particularly influential, especially in creating a vibrant and supportive AI ecosystem in the Nordic region.
The WomenInTech Alliance AI Society, founded by Anca, is at the forefront of empowering women in the field of Artificial Intelligence. Recognizing the significant gender disparity in AI, she established the AI Society to create a nurturing environment for women to learn, explore, and innovate. The organization serves as a knowledge hub, advocating for ethical AI practices, and supporting women-led AI startups to thrive. By leveraging her expertise and network, Anca has cultivated a regional movement to foster AI literacy and open discussions on pressing issues within the field.
The primary strategic objective of Anca’s AI Society is to democratize AI knowledge and empower women to pursue careers in this critical domain. This involves multiple initiatives, including education, mentorship, innovation, and advocacy. By partnering with Lund University, Malmö University, and Copenhagen University, Anca has built a strong foundation to enhance AI education, research, and innovation in Southern Sweden. Her vision extends beyond training; she seeks to foster a community where women in AI can collaborate, innovate, and lead in shaping the future of technology.
Addressing gender disparity in AI is no small task. Women face significant challenges, including limited access to educational resources, lack of mentorship, and biases in technology and entrepreneurship. The AI Society confronted these barriers by creating an inclusive platform that offers
The award will go to a practitioner that has shown exceptional efforts through different means and channels to promote the benefits, the challenges and the opportunities with Data and AI Innovation and with that impact the business and society.
Kasper Junge
Machine Learning Engineer | SEO.ai
Kasper Junge, a Machine Learning Engineer and the Chairperson of the Danish Data Science Community, specializes in language modelling, generative AI, and prompt engineering. Formerly a Data Scientist at Ekstra Bladet, he now contributes his expertise to SEO.ai, a Danish generative AI tech startup. Kasper is a vibrant tech communicator, hosting the Verbos Podcast, sharing insights on his YouTube channel, and making guest appearances on numerous podcasts. His adeptness at elucidating complex concepts has positioned him as a sought-after speaker and a distinguished figure in Denmark’s AI and data science arena.
We celebrate Kasper Junge as the ‘Data and AI Influencer of the Year.’ As a Machine Learning Engineer and the Chairperson of the Danish Data Science Community, Kasper excels in language modelling, generative AI, and prompt engineering. His impactful role at SEO.ai demonstrates his deep expertise in generative AI. Kasper’s exceptional communication skills shine through his hosting of the Verbos Podcast, insightful YouTube channel, and guest appearances on various podcasts. Renowned for his ability to simplify complex AI and data science concepts, Kasper is a highly sought-after speaker and a prominent figure in Denmark’s tech community, influencing both the business and societal understanding of Data and AI innovation.
A practitioner who has made a substantial contribution to the Data, Analytics and AI research and maturity development across the Nordic region, demonstrated outstanding mentorship and example to others, and provided noteworthy service to the community.
Thomas Bolander
Professor | DTU Compute
Thomas Bolander, PhD, is a professor at DTU Compute, where he does research in logic and artificial intelligence (AI). His research focuses primarily on social aspects of AI, that is, how to make future computers, smartphones and robots socially intelligent, so they can also start to understand a bit of how we humans think. The goal is to create computers and robots that can interact socially competent and flexibly with humans and other robots. Thomas Bolander has given a large number of invited talks at international conferences and is at the same time very active in public outreach activities within artificial intelligence through popular science talks, radio and TV, written and online media. In 2019, he received the H. C. Ørsted Silver Medal for excellence in science communication. The medal has only been awarded once more since the year 2000. Thomas Bolander has developed and taught a wide range of highly estimated courses in mathematics, computer science and artificial intelligence at DTU. In 2006, he received the teacher of the year award at DTU, and has been nominated for the award many times since. In the period 2011-2014, he was educational developer at LearningLab DTU, where he took part in the development and teaching of the Education in University Teaching at DTU. Thomas Bolander is also involved in continuing education activities within AI, among others in connection with the Executive MBA eduction at DTU. Thomas Bolander serves on a number of commissions, expert panels and boards, including the board of Matematikcenter, the board of directors of Scandinavian Logic Society, the editorial board of the journal Studia Logica and member of the SIRI and TechDK commissions. He is also scientific advisor and co-organiser of Science & Cocktails.
Honoring Thomas Bolander, PhD, professor at DTU Compute specializing in logic and artificial intelligence (AI), with a focus on making computers and robots socially intelligent to better understand human thought and interact competently.
He is a recognized expert in science communication, awarded the prestigious H.C. Ørsted Silver Medal in 2019, and is highly active in public outreach through talks, media, and events. At DTU, he has developed and taught acclaimed courses in mathematics, computer science, and AI, earning the Teacher of the Year award in 2006 and multiple nominations since.
Beyond academia, Bolander contributes to continuing education, expert panels, and commissions, including roles with the Scandinavian Logic Society, Studia Logica, and the SIRI and TechDK commissions. He is also a scientific advisor and co-organizer of Science & Cocktails.
Organisation Category Winners
The Award honors an organization that has successfully integrated data and AI into its core business processes, driving significant innovation and refining both organizational and product value. This award recognizes a visionary project that has transformed strategy into action by leveraging data and AI to enhance business operations, optimize decision-making, and create new growth opportunities. The winning organization should demonstrate how it has effectively infused these technologies across various aspects of the business, leading to measurable improvements in efficiency, customer experience, and market positioning. This award highlights the journey from vision to implementation, showcasing the organization’s commitment to embracing data and AI for long-term success.
KBLab is taking a two-pronged approach in training transformer models, tailoring each trajectory to meet the distinct needs of linguistic research and the Swedish language.
Trajectory 1: Predictive Models with Curated Data
The first trajectory focuses on creating predictive models that are trained on highly curated, meticulously assembled datasets drawn from the library’s vast collections. This approach emphasizes data precision and relevance, enabling models to be highly accurate and effective in predictive tasks. The data is selected and prepared with a high degree of scrutiny, ensuring that it is well-structured and relevant to specific predictive goals. Such rigorous curation allows these models to excel in tasks like text classification, document analysis, and other applications requiring robust, domain-specific predictions.
Trajectory 2: Fine-Tuning Multilingual LLMs for Swedish
The second trajectory is geared toward fine-tuning large multilingual models (LLMs) and foundational models, aiming to enhance their functionality and fluency in the Swedish language. By training these models with language-specific data and fine-tuning their parameters, KBLab aims to advance the capacity of these foundational models to understand, generate, and translate Swedish with greater precision and cultural nuance.
The Award celebrates an organization that has demonstrated excellence in the implementation and advancement of data management practices. This award honors innovative approaches to data governance, storage, integration, and quality management that have led to substantial value creation. The winning organization should showcase how their data management strategies have enhanced decision-making, improved operational efficiency, and supported scalability, ensuring that data remains a vital asset for long-term success. This award highlights the importance of robust data management in driving business growth and sustaining competitive advantage.
Scania is a world leading provider of transport solutions with more than 58,000 employees in more than 100 countries. Together with our partners and customers we are driving the shift towards a sustainable transport system by: 1. Developing and offering premium products, services and solutions for sustainable transport For more than 130 years, our core business has been to develop and offer premium products, services and solutions for our customers, and to continuously improve fuel efficiency and uptime. As we drive the shift to sustainable transport, this continues to be at the heart of our approach. We offer products and services designed to support our customers’ transition to a sustainable transport future. These include electric vehicles and charging solutions, as well as solutions based on renewable fuels. Every solution is tailored to customer requirements and local circumstances. 2. Partnering up to create the enabling conditions for sustainable transport Sustainable transport depends on the right conditions to flourish. We work with partners across the transport ecosystem to develop sustainable infrastructure and resources, and push for the policies and investments needed to make sustainable transport a reality. We are pioneers in supply chain sustainability, forging groundbreaking partnerships with suppliers to rapidly decarbonise the transport industry’s supply chain. 3. Exploring and accelerating the development of tomorrow’s transport system By pushing the boundaries of what’s possible today, we are shaping the transport system of tomorrow. We do this by investing in R&D, backing start-ups and harnessing new ideas, technologies and business models that lie outside our current core. 4. Managing our impacts on people and planet We lead by example, managing our social and environmental impacts where they are biggest throughout our value chain. We focus on three sustainability priorities: people sustainability, decarbonisation and circularity.
At the heart of every successful company lies a simple truth: data is more than just numbers, it’s the lifeblood of relationships, decisions, and growth. For Scania, the QING Master Data Management (MDM) Customer Program is the key to unlocking that potential. This project wasn’t just about improving systems; it was about uniting people, changing the mindset, encouraging collaboration, and building a shared foundation of trust in the data that supports Scania’s global operations. The QING MDM Customer Program was launched with a bold vision to consolidate all of Scania’s customer data into one cohesive and reliable solution. This meant creating a “single source of truth” that would simplify decision-making, improve efficiency, and support both current and future Business and IT needs. It also meant something much more: it meant empowering every person at Scania to do their job better, to feel confident in the data they use, and to know that they are contributing to something bigger than just a work task. For over eight years, Robert Ciborowski, the QING MDM Solution Manager, and Yasmine Mohamed, IT MDM Strategist, have been at the helm of this remarkable journey. Their leadership is more than leading a technical project; it’s driven by a shared passion for making Scania stronger, more agile, more data-driven, and more connected. Together, they helped transform how Scania manages its customer information, creating a robust solution that not only supports the business but also uplifts the people working within it.
Strategic Objectives: Empowering People Through Data The QING MDM program was built on the belief that good data has the power to change everything. By centralizing customer information, Scania can make faster, more informed decisions, adapt to changing markets, and ensure that reliable data always supports its people. The program’s key goals reflect this commitment to both innovation and human impact: 1. Supporting Business and IT Teams: By creating a single source of truth for customer data, the QING program not only helps streamline operations but also gives Scania’s teams the confidence they need to adapt quickly to new challenges and opportunities. 2. Responding to Changing Needs: With centralized data, Scania can now pivot faster to meet the demands of a rapidly changing market. This agility allows the company to stay competitive, while reducing stress for employees by providing them with the right tools and information when they need it most. 3. Cutting Costs and Saving Time: The program eliminates redundant systems, freeing up time and resources so that people can focus on what matters most—innovating, growing, and building stronger customer relationships. 4. Unlocking Insight with Advanced Analytics: By integrating customer data into Scania’s Data Lake and data mesh the program empowers teams with deeper insights, helping them make data-driven decisions that benefit not just the company, but the customers and communities they serve. 5. Ensuring Compliance and Trust: In an age where privacy and data security are more important than ever, the QING MDM program gives Scania the tools to meet global regulations like GDPR. This isn’t just about ticking boxes; it’s about ensuring that everyone interacting with Scania employees, partners, and customers can trust that their data is being handled responsibly. 6. Building the Future with a Modern Data Strategy: Scania’s commitment to innovation doesn’t stop at today’s challenges. The QING program lays the groundwork for a future where data is more than just a resource, it’s a shared asset that drives long-term value for everyone involved. Key Challenges and Opportunities: Standing strong and growing together through every challenge Every transformational journey comes with its share of challenges. For the QING MDM program, these challenges weren’t just obstacles they were opportunities to strengthen
Scania’s culture of collaboration and innovation. 1. Global Data Quality and Duplication: Scania’s global reach meant managing data from different systems and regions. The challenge of ensuring data consistency and eliminating duplication across borders was immense but it was also a chance to unite Scania’s global teams around a common goal. 2. Overcoming Resource Limitations: Like any large-scale project, the QING MDM program faced resource constraints. Instead of seeing this as a limitation, the team adopted new technologies, worked smarter and demonstrated how resilience and creativity can overcome even the toughest challenges. 3. Building Global Cooperation: As a 24/7 operation, Scania needed a solution that could handle the need for constant data updates across different time zones. This challenge pushed the team to develop a system that works around the clock and strengthens collaboration between international teams. 4. Engaging Stakeholders, Uniting Visions: Keeping stakeholders aligned wasn’t always easy, but the program’s collaborative approach helped bridge gaps, ensuring that everyone was invested in its success. Innovative Solutions: A People-First Approach to Innovation Innovation is about more than just technology, it’s about understanding the people behind the data and creating solutions that empower them and using the innovative technology for a real- life business case.
The QING MDM Program embraced this philosophy with every decision it made: 1. Focused on Real Business Value: Most MDM implementations start with setting up the Governance farmwork, which usually takes a very long time and hence delays the ROI of the MDM solution. However, for QING, the team never lost sight of what really matters, delivering tangible business benefits across Scania. By focusing on use cases that brought immediate, measurable value, they ensured that the program’s success was noticed across the organization and reversed the traditional way of MDM implementation. 2. Leveraging New Technologies for Human Benefit: As mentioned the limitation of the number of resources was a constraint however; by embracing technologies like Bots, Data Integration, and Data Processing systems, QING team overcame this obstacle. The QING MDM program didn’t just detect and solve technical problems, it made life easier for the people who rely on data daily. 3. A Cloud-First, Buy-First Strategy: Instead of reinventing the wheel, the team opted for a buy-first, cloud-first approach, ensuring scalability, flexibility, and security. This strategy not only supported Scania’s global needs but also freed up resources to focus on what really matters and helping people succeed. 4. Enriching Data, Enhancing Customer Experience: As one of the main constraints was improving data quality, integrating external data sources created the opportunity to enrich Scania’s customer insights. While complex, this enriched data helped Scania build stronger, more meaningful connections with the customers and all of this was done without any Data Stewards. 5. A True Collaboration Between IT and Business: One of the program’s greatest innovations was its commitment to balance. By adopting a 50/50 investment between business and IT, the program created a culture of shared ownership, where everyone worked together to overcome challenges and drive real, lasting value. Positive Impact on the Nordic DAIR Community: Leading by Example
The QING MDM Program has transformed Scania into a data-driven company and aided its digitalization journey. Over the past two years, the QING Team haven’t missed any opportunity to share their knowledge to inspire the entire (DAIR) community, by presenting real-life stories from QING implementations and MVPs. Meanwhile, discussing with peers from the various Nordic industries the new standards for data governance, collaboration, and innovation, the program serves as a blueprint for how organizations can leverage data to create real, meaningful value. 1. Setting New Standards for Data Governance (Reversed Governance): The QING MDM program has demonstrated how large-scale organizations can manage data quality and compliance with minor human touch ensuring both accuracy and trust, especially in regions with strict data privacy regulations. 2. Pioneering a Modern Data Strategy: Scania’s forward-thinking approach to data isn’t just about technology, it’s about creating a culture where data is seen as a shared asset that benefits everyone. This approach offers valuable insights for the Nordic DAIR community as businesses across the region look to harness the power of data. 3. Inspiring Collaboration and Innovation: The program’s success wasn’t built in isolation, it was the result of true collaboration between people, teams, and technologies. This collaborative spirit is a powerful reminder of what’s possible when we work together toward a common goal. 4. Transforming Operations and Decision-Making: With data at the heart of every decision, Scania is becoming a leader in data-driven operations. The lessons learned from this journey offer invaluable insights for other organizations looking to unlock the full potential of their data.
At its core, the QING MDM Customer Program is a story about vision and people. It’s about building trust, encouraging collaboration, and empowering everyone at Scania to thrive in a data-driven world. Through innovation, resilience, and a commitment to shared success, the program has transformed not just how Scania manages data, but how it views its future and how to embrace the opportunities. In a world where data can make or break success, QING MDM is helping Scania unlock a future where people, teams, and businesses are empowered to achieve more, together.
This award recognizes an organization that has developed and implemented a groundbreaking AI solution, demonstrating exceptional technical innovation. The winning solution must showcase advanced AI capabilities and illustrate how these technologies have been effectively applied to address complex challenges. This award honors not only technical excellence but also the scalability of the solution and its tangible impact on business outcomes or industry practices, setting a new standard for AI-driven innovation and establishing a benchmark for future technological advancements.
Established in early 2023, the AI Lab at Novo Nordisk aims to harness (especially) Generative AI technology within the pharmaceutical domain focusing on creating impactful technical solutions.
The primary objectives of the AI Lab are to innovate and integrate Generative AI solutions across Novo Nordisk’s value chain, thereby enhancing efficiency, fostering innovation, and generating substantial business value. The team aims to democratize access to complex data, streamline processes, and empower employees with cutting-edge AI tools.
Key Challenges
Compliance and Data Privacy: Meeting regulatory and privacy standards.
Complex Data Integration: Seamlessly integrating diverse data sources.
Scalability: Developing scalable solutions.
User Adoption: Creating user-friendly AI tools.
Innovative Solution
The AI Lab’s innovative solutions and initiatives have had a profound impact on Novo Nordisk, including
Increased Efficiency: Streamlining processes across clinical development, research, and commercial sectors – and allowing over 30,000 employees to use Generative AI to assists in their day-to-day tasks.
Enhanced Data Accessibility: Empowering employees to access and analyze complex data effortlessly from our clinical trials and internal/external research databases through multi-agent frameworks.
Significant Business Value: Documenting a business value of over €40 million per year from the Generative AI platform alone – with additional value of millions of euro from their specific solutions in R&ED, Development and Commerical.
Global Reach: Implementing solutions that are live, and in production and for the commercial use across, live in more than 35 countries. All in less than 2 years.
The AI Lab’s work exemplifies the transformative potential of Generative AI in the pharmaceutical industry. Their innovative solutions, strategic approach, and substantial positive impact make them a deserving candidate for the Nordic DAIR awards.
This award honors a private sector organization that has demonstrated outstanding excellence in leveraging AI to achieve significant business outcomes. The award recognizes innovative applications of AI that have led to measurable improvements in areas such as revenue growth, operational efficiency, customer satisfaction, or market leadership. The winning organization should exemplify how AI can be strategically used to drive excellence and create a competitive advantage in the marketplace.
Established in early 2023, the AI Lab at Novo Nordisk aims to harness (especially) Generative AI technology within the pharmaceutical domain focusing on creating impactful technical solutions.
The primary objectives of the AI Lab are to innovate and integrate Generative AI solutions across Novo Nordisk’s value chain, thereby enhancing efficiency, fostering innovation, and generating substantial business value. The team aims to democratize access to complex data, streamline processes, and empower employees with cutting-edge AI tools.
Key Challenges
Compliance and Data Privacy: Meeting regulatory and privacy standards.
Complex Data Integration: Seamlessly integrating diverse data sources.
Scalability: Developing scalable solutions.
User Adoption: Creating user-friendly AI tools.
Innovative Solution
The AI Lab’s innovative solutions and initiatives have had a profound impact on Novo Nordisk, including
Increased Efficiency: Streamlining processes across clinical development, research, and commercial sectors – and allowing over 30,000 employees to use Generative AI to assists in their day-to-day tasks.
Enhanced Data Accessibility: Empowering employees to access and analyze complex data effortlessly from our clinical trials and internal/external research databases through multi-agent frameworks.
Significant Business Value: Documenting a business value of over €40 million per year from the Generative AI platform alone – with additional value of millions of euro from their specific solutions in R&ED, Development and Commerical.
Global Reach: Implementing solutions that are live, and in production and for the commercial use across, live in more than 35 countries. All in less than 2 years.
The AI Lab’s work exemplifies the transformative potential of Generative AI in the pharmaceutical industry. Their innovative solutions, strategic approach, and substantial positive impact make them a deserving candidate for the Nordic DAIR awards.
This award recognizes a public sector organization that has excelled in applying AI to enhance public services and deliver substantial value to society. The award celebrates innovative uses of AI that have resulted in improved service delivery, operational efficiency, and positive societal impact. The winning organization should demonstrate how AI has been effectively utilized to drive excellence in public administration, benefiting citizens and the community at large.
KBLab is taking a two-pronged approach in training transformer models, tailoring each trajectory to meet the distinct needs of linguistic research and the Swedish language.
Trajectory 1: Predictive Models with Curated Data
The first trajectory focuses on creating predictive models that are trained on highly curated, meticulously assembled datasets drawn from the library’s vast collections. This approach emphasizes data precision and relevance, enabling models to be highly accurate and effective in predictive tasks. The data is selected and prepared with a high degree of scrutiny, ensuring that it is well-structured and relevant to specific predictive goals. Such rigorous curation allows these models to excel in tasks like text classification, document analysis, and other applications requiring robust, domain-specific predictions.
Trajectory 2: Fine-Tuning Multilingual LLMs for Swedish
The second trajectory is geared toward fine-tuning large multilingual models (LLMs) and foundational models, aiming to enhance their functionality and fluency in the Swedish language. By training these models with language-specific data and fine-tuning their parameters, KBLab aims to advance the capacity of these foundational models to understand, generate, and translate Swedish with greater precision and cultural nuance.
The award recognizes an organization that has successfully implemented Generative AI technologies to create significant value and drive scalable solutions. This award honors projects that demonstrate innovative use of Generative AI, leading to measurable improvements in product development, customer experiences, or operational efficiency. The winning organization should showcase how Generative AI has been strategically integrated into its operations, creating sustainable value and proving its potential to scale across the business or public sector, ultimately setting a new standard for AI-driven innovation.
Established in early 2023, the AI Lab at Novo Nordisk aims to harness (especially) Generative AI technology within the pharmaceutical domain focusing on creating impactful technical solutions.
The primary objectives of the AI Lab are to innovate and integrate Generative AI solutions across Novo Nordisk’s value chain, thereby enhancing efficiency, fostering innovation, and generating substantial business value. The team aims to democratize access to complex data, streamline processes, and empower employees with cutting-edge AI tools.
Key Challenges
Compliance and Data Privacy: Meeting regulatory and privacy standards.
Complex Data Integration: Seamlessly integrating diverse data sources.
Scalability: Developing scalable solutions.
User Adoption: Creating user-friendly AI tools.
Innovative Solution
The AI Lab’s innovative solutions and initiatives have had a profound impact on Novo Nordisk, including
Increased Efficiency: Streamlining processes across clinical development, research, and commercial sectors – and allowing over 30,000 employees to use Generative AI to assists in their day-to-day tasks.
Enhanced Data Accessibility: Empowering employees to access and analyze complex data effortlessly from our clinical trials and internal/external research databases through multi-agent frameworks.
Significant Business Value: Documenting a business value of over €40 million per year from the Generative AI platform alone – with additional value of millions of euro from their specific solutions in R&ED, Development and Commerical.
Global Reach: Implementing solutions that are live, and in production and for the commercial use across, live in more than 35 countries. All in less than 2 years.
The AI Lab’s work exemplifies the transformative potential of Generative AI in the pharmaceutical industry. Their innovative solutions, strategic approach, and substantial positive impact make them a deserving candidate for the Nordic DAIR awards.