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INDIVIDUAL CATEGORY 2022 WINNERS

INDIVIDUAL CATEGORY 2022 WINNERS

INDIVIDUAL CATEGORIES

INDIVIDUAL CATEGORIES

VOTING ENDS ON 7TH OF DECEMBER

#NordicDAIRAwards

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2022 Nordic Data, Analytics and AI Readiness awards

2022 Nordic Data, Analytics and AI Readiness awards

Discover the 2022 Nordic Data, Analytics and AI Readiness Award Nominees

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.

Browse the individual category winners

Individual Category X

Lifetime Achievement in AI

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.

Individual Category 1

Data Management Professional of the year

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.

Individual Category 2

Analytics Professional of the year

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.

Minna has +25 years’ experience in developing business and CX through data, customer insight and digital services. She has worked at the K-Group since 2014, responsible for analytics, data-driven management and the development of artificial intelligence solutions. She has strongly supported the transformation, in which the use of data is involved in everything – both strategic and operational level. In her current role, she is also responsible for K-Group’s loyalty program (K-Plussa), which e.g., the protection of customers’ privacy, data protection and the responsible & ethical use of data play an extremely important role.

Individual Category 3

Data Science Professional of the year

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.

Data Scientist Leader, multilingual, seeking to drive impact and build a world-class data science team at ICA. A skilled communicator capable of explaining complex issues with clarity to diverse audiences. It is important to me to grow data talent while fostering an inclusive environment and developing scalable processes to make data accessible across organizations, especially to non-technical stakeholders. I am responsible for leading innovation using data science and driving the education of AI across the company by envisioning and executing strategies that will improve business performance. One way I do this is by providing thought leadership around data and computing environments. My ambition is to be an inspiring leader who empowers and builds trust within my team. Previously I worked in the financial sector and have a solid knowledge of statistical modeling, machine learning, and teaching data science courses.

Individual Category 4

Machine Learning Professional of the year

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.

Robert is first and foremost a jazz-fusion composer, but with a deep background in formal logic and computer science. He has worked on everything from open-source Unix kernel programming, to architecting enterprise cloud environments at Microsoft, and developing original AI-driven products as an entrepreneur. With nearly two decades of experience in hands-on development of disruptive technologies in enterprise environments, Robert currently provides executive advisory services through The AI Framework to help others make a successful leap into the future.

Individual Category 5

Artificial Intelligence Professional of the year

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.

I have extensive experience in working with data science in various industries (Banking, Biotech and Pharma) and settings (digital innovation/incubator labs, corporate and startups). Starting as a data scientist and then leading data science teams I have been always intrigued with the power of data and how it can augment or transform business models. In my current role I head the AI & Analytics CoE (Centre of Excellence) at Novo Nordisk. We are a group of Data scientists, ML and Software engineers partnering across the organisation to #BringDataToLife – for example from using ML in a GxP/ regulated setting to improving our marketing and sales. We are also building an MLOps platform to speed the time from PoC to Prod especially in a regulated field. Finally by working with our experts across the organisation we help upskill, inspire and advocate on what is possible with ML/AI – applying agile and design thinking in our data science processes.

Individual Category 6

Data Engineering Professional of the year

This award will go to an 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.

After taking an education in natural sciences and obtaining a PhD in physics, I have (unexpectedly) found home in the financial industry, currently in a role of a data engineer in one of the largest payment processors in Europe. It absolutely the best time to be working with data: I sometimes feel like I am a part of a massive movement of dragging the data out of hiding to shine as one of the biggest assets of modern businesses. As a technical person, I do not find it challenging to adapt a new tech skill (even though that is still the most fun part of my job), but rather find a way to use wisely and create the most value by doing so. I find myself to be the one to bridge the gap between tech and business by building trust and, most importantly, communicating well. Today we have the privilege and responsibility to shape the next generation data roles, where despite the fast-developing technology, people with their ability to adapt and work smarter are the strongest of any data driven business.

Individual Category 7

Data and AI Transformation Professional of the year

The award will be given to a practitioner who has shown initiative, innovation and leadership in creating and establishing a Data/AI transformation and change management strategy/process leading to significant improvement in organisation operational performance, customer experience and business model.

Josefine Boqvist is the head of Analytics IT at Telia Company. Telia Company is the leading operator in the Nordics & Baltics and serve 24 million customers in one of the most digitalized regions in the world. Analytics IT owns the architecture and roadmap for Analytics and Martech across all Telia markets. The team develops and maintains Business Intelligence, Analytics and MarTech platforms across Telia Company and delivers capabilities in areas such as data warehousing, data lakes, data visualization, real time analytics, machine learning and big data. Josefine has 15+ years of experience of shaping and leading transformation in the digital sector within Analytics, Business, and IT with leadership roles at Telia, Accenture and Ericsson.
Josefine has in her career successfully led team and built organizations of different sizes with up to 800 people across 30 countries. She grasps new challenges quickly, leads resiliently though change and uses new technologies and business models to drive innovation and value creation. Josefine has been awarded for her leadership from the Royal Institute of Technology with the price Female Leader Award as well as named top 100 Swedish Female Leaders. Within her current role as head of Analytics IT she has successfully accelerated the cloud journey for analytics and built a novel serverless data-platform with new AI capabilities with delivered business impact in less than one year. Josefine is passionate about technology but most of all the impact it has and can have on people and society, making better connected experiences, lifting people, and realizing a more sustainable future.

Individual Category 8

AI Ethics Professional of the year

The award will be given to a practitioner that researches and facilitates better understanding of ethics and data protection in AI, and fosters regional efforts in this field.

Virginia Dignum is Professor of Responsible Artificial Intelligence at Umeå University, Sweden and director of WASP-HS, the Wallenberg Program on Humanities and Society for AI, Autonomous Systems and Software, the largest Swedish national research program on fundamental multidisciplinary research on the societal and human impact of AI. She is a member of the Royal Swedish Academy of Engineering Sciences (IVA), and a Fellow of the European Artificial Intelligence Association (EURAI). She is member of the Global Partnership on AI (GPAI), World Economic Forum’s Global Artificial Intelligence Council, Executive Committee of the IEEE Initiative on Ethically Aligned Design, of ALLAI, the Dutch AI Alliance, EU’s High Level Expert Group on Artificial Intelligence, and leader of UNICEF’s guidance for AI and children, member. She is author of “Responsible Artificial Intelligence: developing and using AI in a responsible way”.

Individual Category 9

Data and AI influencer of the year

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.

Individual Category X

Lifetime Achievement in AI

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.