Data and AI foundations in strategy

Strategy-led. Insights-driven. Built for scale.

Building AI at scale starts with strategy, not technology.  It requires a clear understanding of enterprise data as a strategic asset – how it enables decision-making, aligns to business priorities, and supports long-term value creation.  

Capgemini’s 2026 research on AI and decision-making highlights that organizations that embed AI into strategic and operational decisions – supported by trusted data foundations – are significantly better positioned to move from isolated experimentation to enterprise-wide impact. 

Organizations across the globe have started out, or are looking to start out, on their journey to design, build, and scale AI strategies that deliver real business impact – now, and in the future. But this impact cannot be achieved standalone. At the core of such a journey are robust enterprise data and AI foundations that are trusted, well-governed, and aligned to business objectives.  

With the right strategy, operating model, and data backbone in place, organizations can unlock the full potential of advanced analytics and AI, where AI, Gen AI, and agentic AI deliver the greatest impact, and build the capabilities needed to sustain it.  

Capgemini RAISE™ – Reliable AI solution engineering

A next-gen enterprise AI foundation and suite of best-of-breed, modular assets–built to scale AI, accelerate adoption, and drive business value through Gen AI and agentic capabilities.

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How we can help

Our data and AI experts help organizations shape a business-led AI vision and strategic roadmap with: 

A clear AI vision anchored in business outcomes 

Define how AI, Gen AI, and agentic AI support enterprise decision-making, competitive advantage, and long-term growth. 

Strategic prioritization of AI investments 

Move from experimentation to transformation by focusing on the highest-value use cases with a clear path to scale. 

Enterprise-grade data and AI foundations 

Establish the infrastructure, governance, and data quality required to support trusted, responsible, and scalable AI. 

Sustained value through aligned operating models

Enable collaboration across business, IT, and data teams to embed AI into everyday decisions and operations.  

Research and insights

Report

The multi-year AI advantage: Building the enterprise of tomorrow

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Research brief

Inside the C-suite: How AI is quietly reshaping executive decisions

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A Leader and a Star Performer in Everest Group

Everest Group’s AI and Generative AI Services PEAK Matrix® Assessment 2025 

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Meet our experts

Caroline Wilhelmsen

Caroline Wilhelmsen

Vice President – Head of Insights and Data Norway, Capgemini
Caroline is an experienced project manager with a burning commitment to digital and innovative solutions to streamline and improve. She is process-oriented, analytical, and innovative with a genuine commitment to getting people and teams to perform in the best possible way. Today Caroline leads a unit of 140 consultants where they assist customers with how they can become more data- and insight-driven.
Hans Kristiansen

Hans Kristiansen

Managing Solution Architect – Insights and Data, Capgemini
Hans is a highly experienced consultant with 25 years of experience delivering business intelligence solutions using the Microsoft technology stack. He excels at connecting business stakeholders and IT. As the advisor, project manager, architect, or performing consultant, Hans is genuinely committed to creating value for customers through innovative solutions. He helps customers make faster decisions with more confidence by creating a data-driven culture that enables people to quickly move from insights to action. Hans keeps projects focused on the secure delivery of insights within the flow of work to guide people to do their best work and deliver better outcomes.
Marius Nilsen

Marius Nilsen

Go-to-market lead | Director at Capgemini Insights & Data
Marius Nilsen is the Go-to-Market Lead for Insights and Data in Norway, responsible for driving business development for a team of 200 talented professionals specializing in data and AI, with the support of many more globally. Marius started his career with Capgemini 10 years ago as a data scientist having studied probability mathematics at the University of Oslo. He greatly value the continuous opportunities for career growth and the dynamic team spirit, full of energy and boldness in exploring new ideas.
Sofie Zimmer

Sofie Zimmer

Business Analyst
Sofie is a Managing Business Analyst with over 5 years’ experience with different projects related to data. A passion for having the right data to the right time, has brought her to gaining expertise on master data management, data governance and data quality. Working within this field of data, she helps customers to digitalize and improve their business processes, through interdisciplinary competences within business, IT and data
Robert Engels, CTO Insights & Data North-Central Europe

Dr. Robert Engels

CTO AI, Head of Capgemini AI Lab
Robert is an innovation lead and a thought leader in several sectors and regions, with a basis in his role of Chief Technology Officer for Northern and Central Europe in our Insights & Data Global Business Line. Based in Norway, he is a known lecturer, public speaker, and panel moderator. Robert holds a PhD in artificial intelligence from the Technical University in Karlsruhe, Germany.
Kjetil Eritzland

Kjetil Eritzland

Principal Solutions Architect, Insights & Data
Kjetil Eritzland is a data and solutions architect in Capgemini’s Insights & Data organization. Kjetil has been in the field of data management for more than 25 years and has extensive experience from large projects and various industries across Europe. He is passionate about innovating around data, enjoys working to bring data management closer to the business, and is promoting best data management practices also in his spare time as a board member in DAMA.
Martin Lam

Martin Lam

Head of Technology, Principal Solutions Architect, Capgemini Insights and data, Norway
Martin has long experience in Business Intelligence, Data warehousing, Data platform and Analytics. He has competence in many areas from architecture, data modelling to design of solutions for business insights, balanced scorecards, advanced analytics, AI and reporting. He has worked with many database technologies, ETL tools, reporting tools and Cloud platforms Azure, AWS, Google Cloud and Snowflake.