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Generative AI

As Generative AI continues to advance, early adopter organizations will benefit from reinvented business models and processes.

About one-fifth of executives surveyed in our research globally say generative AI will significantly disrupt their industries. Gen AI is already fueling digital transformation in many sectors, leading to performance improvement as well as next-generation customer engagement and personalized experiences,

While these large models are undoubtedly powerful, it is essential to implement safeguards before fully integrating them into your business operations. Building on our market leading position in Data & AI, we help our clients deliver value and generate competitive advantage by leveraging trustworthy Gen AI at scale. We support CXOs in setting their Gen AI strategy and identifying use cases aligned to their business expectations and requirements, offering a portfolio of tailored Gen AI solutions.

Dinara Kasko works with Capgemini to elevate her possible

Next-level ideas are on the menu with Custom Generative AI for Enterprise. We are partnering with Dinara Kasko, an amazing creative talent. Dinara is an architect-designer combining her skills with 3D printing and AI to create unique and mind-blowing patisserie.

Generative AI

Elevate Your Possible with Capgemini

How we can help

Custom Generative AI for Enterprise

Elevate your possible. Prepare to be surprised by the collective power of human intelligence and our Custom Generative AI for Enterprise offer.

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Generative AI for Software Engineering

Revamp your software development life cycle. We help transform the very core of your software engineering process and organization, then iteratively measure the progress to achieve continuous improved outcomes.

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Generative AI for Customer Experience

With Generative AI for Customer Experience, we help organizations develop tuned foundation models and help them navigate the complexities of generative AI. We provide guidance through the entire process, including assessments, framework implementation, and business templates, to ensure a smooth and efficient experience.

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Generative AI Strategy

Generative AI strategy enables CXOs to define and prioritize the most relevant generative AI use cases for their business, demonstrate the tangible value that can be achieved, and lay the right foundations in terms of people, process and technology for scaling their generative AI investments while mitigating the risks.

Capgemini Invent
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Microsoft 365 Copilot

Capgemini helps you unleash new ways of working with Microsoft 365 Copilot

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Research and insights

Point of view

Taking control of generative AI
Report

2024 Generative AI in organizations
Report

Creative and generative AI

    ETHICAL AI

    As a leader in digital transformation, we are committed to the adoption of AI in a way that delivers clear benefits.

    Our Code of Ethics for AI

    Generative AI Lab

    Our Generative AI Lab is a dedicated team of experts specialized in artificial intelligence from various Capgemini teams around the world.

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      Meet our experts

      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.

      Mark Oost

      Global Offer Leader, AI Analytics & Data Science
      Prior to joining Capgemini, Mark was the CTO of AI and Analytics at Sogeti Global, where he developed the AI portfolio and strategy. Before that, he worked as a Practice Lead for Data Science and AI at Sogeti Netherlands, where he started the Data Science team, and as a Lead Data Scientist at Teradata and Experian. Throughout his career, Mark has had the opportunity to work with clients from various markets around the world and has used AI, deep learning, and machine learning technologies to solve complex problems.