Capgemini and AWS collaborate to boost adoption of generative AI technology, France

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Capgemini, a leading IT service provider, has entered into a strategic collaboration agreement with Amazon Web Services (AWS) to accelerate the adoption of generative AI technology. The collaboration aims to help organizations of all sizes unlock the business value of incorporating generative AI while addressing challenges such as cost, scale, and trust.

As part of the agreement, Capgemini plans to expand its network of AWS CoEs (Centers of Excellence) and train 30,000 employees over the next three years in AWS’s advanced technologies. This aligns with the company’s €2 billion investment in artificial intelligence.

The collaboration between Capgemini and AWS will focus on developing industry-specific solutions, assets, and accelerators. These will be supported by a unique platform designed to enhance clients’ Total Cost of Ownership (TCO) by optimizing large language models (LLMs) within Amazon Bedrock. By utilizing the platform, organizations can achieve the best generative AI production costs.

Jerome Simeon, Head of Global Industries and Group Executive Board member at Capgemini, expressed his enthusiasm for the collaboration. He stated, Capgemini’s deep expertise in data and AI, together with AWS’s proven methodologies and technologies, will enable joint clients to move from pilot to production at extreme scale. This collaboration will also help them optimize their investments and address sustainability goals, crucial components in the journey to a digital and sustainable economy.

Swami Sivasubramanian, Vice President of Data and AI at AWS, highlighted the democratization of access to generative AI through this expanded partnership. He emphasized that organizations will have the opportunity to leverage AWS’s industry-leading models and capabilities, such as Amazon Bedrock and Amazon Q, to ignite innovation and transform their businesses. With the integration of enterprise data and human intelligence, joint clients can build and scale generative AI applications customized to their specific needs, with privacy and security as core considerations.

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This collaboration comes after Capgemini announced the Azure Intelligent App Factory in collaboration with Microsoft last year, aiming to enable organizations to rapidly scale responsible and sustainable generative AI capabilities. The strategic collaboration between Capgemini and AWS seeks to further accelerate the adoption of generative AI solutions, equipping businesses with the necessary tools and expertise to navigate challenges and optimize their AI investments.

In conclusion, the collaboration between Capgemini and AWS is poised to drive the adoption of generative AI technology. By leveraging AWS’s advanced technologies and Capgemini’s expertise in data and AI, organizations can take advantage of the numerous benefits of generative AI while overcoming obstacles such as cost, scale, and trust. This collaboration marks a significant step forward in realizing the potential of generative AI in various industries.

Frequently Asked Questions (FAQs) Related to the Above News

What is generative AI technology?

Generative AI technology refers to the use of artificial intelligence (AI) systems that can generate new content, such as images, text, or audio, based on existing data. These systems utilize deep learning algorithms and large language models to produce creative and original outputs.

Why are Capgemini and AWS collaborating on generative AI?

Capgemini and AWS are collaborating on generative AI to accelerate its adoption and unlock its business value. By joining forces, they aim to address challenges related to cost, scale, and trust, helping organizations of all sizes incorporate generative AI effectively.

What are AWS CoEs (Centers of Excellence), and how are they part of this collaboration?

AWS CoEs are specialized teams that provide knowledge, expertise, and support for organizations looking to leverage AWS technologies. As part of this collaboration, Capgemini plans to expand its network of AWS CoEs and train 30,000 employees in AWS's advanced technologies over the next three years, facilitating the adoption of generative AI.

How does the collaboration between Capgemini and AWS benefit organizations?

The collaboration offers organizations several benefits. They can access industry-specific solutions, assets, and accelerators created through joint efforts. Furthermore, organizations can utilize a unique platform designed to optimize the Total Cost of Ownership (TCO) of generative AI, resulting in more cost-effective production processes.

How does Capgemini's expertise in data and AI complement AWS's technologies?

Capgemini brings deep expertise in data and AI to the collaboration, which aligns with their €2 billion investment in artificial intelligence. This expertise, combined with AWS's proven methodologies and technologies, allows joint clients to seamlessly move from pilot projects to production at large scales, optimizing their AI investments and addressing sustainability goals.

What models and capabilities can organizations leverage through this collaboration?

Organizations can leverage AWS's industry-leading models and capabilities, such as Amazon Bedrock and Amazon Q, to ignite innovation and transform their businesses. These models allow for the integration of enterprise data and human intelligence, enabling customization of generative AI applications while prioritizing privacy and security.

How does this collaboration build upon Capgemini's previous initiatives in generative AI?

This collaboration follows Capgemini's announcement of the Azure Intelligent App Factory in collaboration with Microsoft, which aimed to scale responsible and sustainable generative AI capabilities. The new collaboration with AWS further accelerates the adoption of generative AI solutions, equipping businesses with the tools and expertise necessary to navigate challenges and optimize their AI investments.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

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