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Data and artificial intelligence

Artificial intelligence with generative and agentic AI – the defining transformation of our time. ​

With the evolution of Gen AI and agentic AI, artificial intelligence (AI) is profoundly changing how organizations operate and create value. To compete, leaders in every sector around the globe are compelled to envision and implement AI–driven transformation.​

The Resonance AI Framework by Capgemini provides a sequential approach to the conceptualization, structuring, and implementation of successful AI-driven transformation. It helps business leaders realize AI’s potential and achieve market leadership regardless of the industry. Anchored in transformation strategy, the Framework helps integrate operations and culture while accelerating AI value creation– to both transform today and build for tomorrow.   

The Resonance AI Framework is supported by the full breadth of Capgemini’s data and AI capabilities, services and solutions,  as well as a comprehensive, enterprise-ready generative AI and AI agents platform. Each of its components serves as a foundational element to help leaders embark on their AI transformation journey. 

AI essentials

To access the transformative power of AI, organizations must establish ‘Intelligence-as-a-Service.’ That includes scalable infrastructure, advanced language models, and software with built-in AI capabilities in combination with an organization’s raw data. These provide the foundation to build, operate, and scale AI with real, enterprise-specific impact.


Adapting AI to an organization’s context requires the right enablers and guardrails to secure, govern, customize, and operationalize AI. Success hinges on the ability to empower an organization to scale AI while ensuring secure, ethical, and aligned organizational AI capabilities. 

Organizations adopt hybrid forms of collaboration by designing the clear roles and intuitive interactions that enable seamless collaboration between humans and AI. This mutual reliability and collaboration defines ‘human–AI chemistry’– the new alchemy of innovation and defining success factor in your AI journey. 

With the technological, governance and collaborative foundations in place, AI value creation is poised for acceleration across an organization, ready to deliver the operational efficiency, personized experiences, business reinvention and next frontier innovation that enable an organization to transform today and build for tomorrow. 

On July 3, 2025, we unveiled our strategic AI framework destined to turn enterprise ambition into measurable business impact.

What it really looks like

By tracking real-time health signals to catch risks early, we empower timely care and give people more moments with the ones they love.

By using learning models to detect the hidden causes of river blindness, we’ve helped protect the next generation’s right to play.

By analyzing data tied to specific geographic locations, we help indigenous groups safeguard endangered buffalo populations and their habitats.

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.

When you join our Data and AI community, you are also part of a proud global collective of expert enthusiasts and lifetime learners of cutting-edge technology and innovation.

Meet our experts

Caroline Wilhelmsen

Vice President, Managing Director Capgemini Insights & Data Norway Denmark

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

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

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

Global CTIO and Head of Lab for AI Futures and Insights & Data
Robert is an innovation lead and a thought leader in several sectors and regions, and holds the position 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 of Karlsruhe (KIT), Germany.

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

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.