Reshape your future with AI

Artificial intelligence (AI) is ushering in a new era of unprecedented transformation, unleashing waves of opportunity across industries and within society.

At the heart of this shift is a new human-AI chemistry, a mutual understanding and deep alignment that enables hybrid teams to thrive and deliver the technology’s full potential across the sliding scale of machine learning, generative AI, and agentic AI.

The rise of these intelligent value chains and integrated ecosystems is the defining transformation of our time. Learn how to make it part of your future.

AI in action

How organizations can leverage Gen AI and agentic AI systems to unlock ROI and efficiency through AI-driven business operations across supply chain, finance, customer service, and people operations.

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Unleashing customer service transformation

Learn how organizations can revolutionize customer service by embracing the powerful capabilities of Generative and Agentic AI to drive purchases, encourage loyalty, and shape brand perception.

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Agentic AI

Report

Multi-agent AI – the 21st century automation revolution

Agentic AI is transforming the way businesses operate by leveraging multi-agent AI systems to enhance productivity, efficiency, and customer engagement.

By adopting agentic AI, businesses can elevate their operational efficiency with AI agents collaborating with humans and boost growth with AI agents acting as knowledge and capability multipliers for teams to deliver more value.

Discover in this piece, how agentic ecosystem works, how to best implement agentic AI architecture, whatever the industries or domains, and how to ensure the right governance, guardrails and responsibility are in place.

Client story

The next industrial revolution

Multi-agent systems and small Gen AI models are transforming factories

Expert perspective

AI agents and agentic workflows

Experts are highlighting the immense potential of these advancements.

Expert perspective

From innovation to transformation

How AI agents are shaping the future of work.

Generative AI

Report

Gen AI in software

Capgemini Research Institute’s report, Turbocharging software with Gen AI, explores the benefits and opportunities that generative AI brings to software engineering.

Drawing insights from a survey of 1,000 senior executives and 1,000 software professionals across organizations with annual revenues exceeding $1 billion, this report takes a look at the present and future impact of generative AI.

Report

AI-powered cybersecurity for telecoms

Gain a deeper understanding of how telecom companies are using AI and Gen AI to address these rising cybersecurity risks with our report.

Report

Generative AI in leadership

Our Capgemini Research Institute report highlights how Gen AI is expected to transform work by reshaping roles and responsibilities.

Point of view

Consumers and the generative AI effect

Highlights from a major study into the penetration of GenAI in the consumer products industry and the response from consumers.

Conversations for Tomorrow #9: Generative AI

The ninth edition of the Capgemini Research Institute’s Conversations for Tomorrow delves into key themes that show Gen AI’s potential to affect organizations, the workforce, and society at large.

Generative AI driving transformations within businesses

Generative AI in organizations

Lessons from executives surveyed in the Capgemini Research Institute report

Organizations view Gen AI not as a disruptor, but as an accelerator

74% of organizations think Gen AI is a transformative technology that will help us drive revenue and innovation.

The next few years will see an uptake in adoption of AI agents

82% of organizations plan to integrate them within 1-3 years, trusting them for tasks like email generation, coding, and data analysis

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AI for good

Client story

Enabling evidence-based education decision-making with agentic AI

We team up with UNESCO and AWS for the 7th edition of the Global Data Science Challenge.

The objective is to develop an agentic Gen AI system that can empower countries to make informed, evidence-based policy decisions to enhance foundational learning outcomes.

Point of view

Overcoming the ethical dilemma: A practical guide to implementing AI ethics governance

Why ethical governance is emerging as a key enabler of scalable AI – and what enterprises can do to ensure long-term resilience.

Inside story

Using AI to save endangered buffalo in Canada

Working with a group of Indigenous elders, knowledge keepers, and trappers, we have been using data and AI to map the impacts of wildfire and logging activity on critical wood buffalo habitat across Northern Alberta, Canada.

Report

Connected health research

The Capgemini Research Institute’s report, The connected health revolution, reveals the unprecedented opportunities that arise from connected health.

How knowledge graphs can improve Gen AI output

Validating results builds trust for organizations.

Read the perspective

Applied AI

Client story

Eneco eMobility supercharges its customer care with generative AI

As a fast-growing company, Eneco eMobililty was facing increasing pressure on customer service and was looking for a solution that could help serve its customers better, faster, and cheaper.

Working with Capgemini, the charging services provider boosted agent productivity and enhanced the client service experience by introducing Dynamics 365 Contact Center – a Copilot-first cloud contact center, powered by Gen AI.

Point of view

Enhancing life sciences research with Gen AI

Use cases are showing how applying Gen AI can augment research in the life sciences industry – accelerating time to market, reducing costs, and improving patient outcomes.

Playbook

Unleashing confidence in AI

Drawing from the insights of 11 Capgemini experts, the Capgemini Generative AI Lab’s playbook delves into the appropriate application of AI, bridging the gap between its promise and practicality.

Point of view

Embracing AI-powered behavioral finance

How banks can mitigate emotional investing by infusing intelligence to hyper-personalize portfolios and experiences for attracting and retaining key clients.

Trusted AI

In a world where 50 percent of business or organizational decisions could be taken by AI, companies must work hard to build trust.

Learn more

The trusted AI orchestra

Building trust in an AI agent world

Meet our experts

Daniela is the head of Data & AI Center of Excellence. The last decade she was part of a global leading premium OEM and responsible for the corporate AI strategy. She was driving the integration of Artificial Intelligence technologies, leading the AI Hub of the Center of Excellence, incl. a portfolio of ~600 data driven use cases along the entire value chain. As thought leader she is focusing on data value creation and sustainable human centric solutions. Daniela is committed to empower Women in Tech, Coding for kids and the digital sovereignty of society.

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.

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Itziar has more than 15 years of international experience as a tech and data leader, specializing in data science and machine learning within the e-commerce, technology, and pharmaceutical sectors. Before joining Capgemini, she was Director of Data Science and Machine Learning at Adidas in Amsterdam, leading a global team focused on AI solutions for personalization, demand forecasting, and price optimization. Itziar holds a PhD in Computational Physics.

Mark Oost - AI, Analytics, Agents Global Leader

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 worked with clients from various markets around the world and has used AI, deep learning, and machine learning technologies to solve complex problems.

Mark Roberts is a visionary thought leader in emerging technologies and has worked with some of the world’s most forward-thinking R&D companies to help them embrace the opportunities of new technologies. With a PhD in AI followed by nearly two decades on the frontline of technical innovation, Mark has a unique perspective unlocking business value from AI in real-world usage. He also has strong expertise in the transformative power of AI in engineering, science and R&D.

Reshape your future with AI