Capgemini and AWS to enable broad enterprise generative AI adoption

Capgemini has announced the signing of a multi-year strategic collaboration agreement with AWS, designed to accelerate the adoption of generative AI solutions and technologies amongst organizations of all sizes. Through this collaboration, Capgemini and AWS are focused on helping clients realize the business value of adopting generative AI, while navigating challenges including cost, scale, and trust. It will enable joint clients to move their investments from individual pilots and proof of concepts to production at scale, by leveraging Capgemini’s existing network of AWS Centers of Excellence (CoEs).  This expanded collaboration will also accelerate the deployment of innovative industry-specific and functional use cases using Amazon Bedrock to access a range of secure, high-performing foundational models, including Amazon Titan. 

As part of this new initiative, Capgemini and AWS will build industry specific solutions, assets and accelerators supported by a unique platform designed to help clients improve the Total Cost of Ownership (TCO). The new platform optimizes large language models (LLMs) provided as part of Amazon Bedrock to help enable clients to achieve the best generative AI production costs.  

As part of this extended collaboration, Capgemini will expand its existing network of AWS CoEs and will train 30,000 employees over the next 3 years across AWS’s advanced technologies, as part of the company’s €2 billion investment in Artificial Intelligence. The global network of Capgemini’s AWS CoEs allows clients to leverage Capgemini’s capabilities in data, AI and cloud to unlock the vast potential 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 Jerome Simeon, 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.” 

Swami Sivasubramanian, Vice President of Data and AI at AWS said, “This expanded partnership with Capgemini will further democratize access to generative AI by empowering organizations to leverage AWS’s industry-leading models and capabilities, like Amazon Bedrock and Amazon Q, to ignite innovation and transform their business. Fueled by massive amounts of enterprise data and human intelligence, joint clients will be able to build and scale generative AI applications that are customized to their business, with privacy and security at the core.”  

The partnership expansion comprises several dedicated initiatives to maximize value delivered for clients. It leverages Capgemini’s deep industry expertise and AWS’s secure, highly customizable, AI- to deliver value across multiple industries, for example -   

●  Aerospace: enhanced Lifecycle Optimization for Aerospace platform with additional capabilities from Amazon Bedrock to improve the image recognition and analysis of aviation parts, and assist in the curation of publishing available inventory.   

●  Automotive: AI-enriched capabilities to enable the transformation of the Automotive industry including trusted vehicles, driving automation, customer intimacy as well as supply chain optimization. 

●  Financial Services: use cases across banking and capital markets such as customer experience, administration processing, audit, and risk. Leveraging generative AI in the insurance market to enhance policy servicing and claim handling.