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Data and AI

Riding the next generative AI wave

The opportunities to transform, thanks to generative AI, are multiple and promising – and each CXO is looking at making their initiatives meaningful for their business and industry-specific context.

With the urge to accelerate and scale GenAI adoption across their organization, comes challenges such as cost control, security, or ethics.

In this point of view, we explore three major dimensions of generative AI for organizations to succeed: cost, scale, and trust. From cost efficiency of large language models (LLM) to adaptative scaling and ethical data sourcing, you will learn how to best develop and deploy your custom GenAI projects by focusing on value use cases fitting your business goals – and how to create tangible and reliable outcomes.

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Reliable AI Solution Engineering

Generative AI

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

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Generative AI in organizations

Meet our experts

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.

Steve Jones

Expert in Big Data and Analytics
Steve is the founder of Capgemini’s businesses in Cloud, SaaS, and Big Data, a published author in journals such as the Financial Times and IEEE Software. He is also the original creator of the first unified architecture for Big Fast Managed data, the Business Data Lake. He works with clients on delivering large-scale data solutions and the secure adoption of AI, he is the Capgemini lead for Collaborate Data Ecosystems and Trusted AI.

Anne-Laure Thibaud (Thieullent)

Executive Vice President, Data & AI Group Offer Leader
Choosing the right technology for the right usage is key, but how your company should change the way it acts around data is vital. My passion is to bring technology, business transformation and governance together and take our clients to where they want to be as Intelligent Enterprises, while cultivating the values of trust, privacy and fairness.