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Capgemini and Amazon Web Services (AWS) have signed a multi-year strategic collaboration agreement, with the intention to accelerate the adoption of generative AI solutions in organizations. Through this agreement, the companies will focus on helping clients capitalize on the value of adopting generative AI, while navigating cost, scale, and trust challenges.

Joint clients will now be able to move their investments from individual pilots and proof of concepts to production-at-scale, leveraging Capgemini’s existing network— Cloud Center of Excellence (CoE). Additionally, the agreement will accelerate the deployment of industry-specific and functional use cases, utilizing Amazon Bedrock to access a range of secure, high-performing foundational models such as Amazon Titan.

As part of the new initiative, Capgemini and AWS will build industry-specific solutions, assets, and accelerators supported by a unique platform. This platform is designed to help clients achieve the best generative AI production costs, and improve the total cost of ownership (TCO). The platform will achieve this by optimizing the large language models (LLMs) that are integrated into Amazon Bedrock.

Capgemini Expands its AWS Centers of Excellence

As part of the strategic agreement, Capgemini will not only expand its current network of AWS Centers of Excellence (CoEs) but also commit to training 30,000 employees over the next three years in AWS's advanced technologies. This forms part of the company’s EUR 2 billion investment into Artificial Intelligence.

Capgemini’s global network of AWS CoEs allows clients to leverage Capgemini’s data, AI, and cloud capabilities to get the most out of generative AI, enable rapid prototyping of new business scenarios, foster innovation, and navigate the next era of digital transformation.

“With generative AI presenting new opportunities to accelerate innovation, it’s imperative for clients to be able to scale their AI implementations quickly to drive tangible value, optimize investments, and meet the specific needs of their own industry,” said Jérôme Siméon, Head of Global Industries and Group Executive Board member at Capgemini. “Capgemini’s deep expertise in data and AI and strong portfolio tailored for industries, together with AWS’s proven methodologies and technologies that help organizations scale their transition to the cloud, will enable joint clients to move from pilot to production at extreme scale; while also helping them optimize their investments and address their sustainability goals. All are vital components in the journey to a digital and sustainable economy.”

The agreement encompasses various dedicated initiatives, such as industry-specific solutions tailored for sectors like aerospace, automotive, and financial services. Additionally, it involves the implementation of a new platform utilizing large language model (LLM) cascading and prompt tuning to enhance the efficiency of solution delivery. Furthermore, it includes the integration of generative AI for software engineering, incorporating AWS CodeWhisperer and Amazon Bedrock into Capgemini’s digital cloud platform.