NEW DELHI: Capgemini Wednesday said it will train 30,000 employees across Amazon Web Services ( AWS )’s advanced technologies over the next three years as part of its 2 billion euros investment into artificial intelligence (AI). Further, both companies have entered into an extended strategic collaboration to accelerate the adoption of generative artificial intelligence or GenAI solutions and technologies among enterprises in verticals such as aerospace, automotive, and financial services. The collaboration will enable joint clients to move from pilots and proof-of-concepts (PoCs) to production at scale, by leveraging Capgemini’s networks of AWS Centers of Excellence , the IT services and consulting firm said in a statement Wednesday.
Advt This expanded collaboration will also accelerate the deployment of innovative industry-specific and functional use cases using Amazon Bedrock to access a range of foundational models, including Amazon Titan. “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,” said said Jerome Simeon, Head of Global Industries and Group Executive Board member at Capgemini. “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,” said Swami Sivasubramanian, Vice President of Data and AI at AWS.
The strategic collaboration with AWS will incorporate a “unique methodology and accelerators developed by data and AI experts at Capgemini”, as per the statement. The companies said that using large language model (LLM) cascading and prompt tuning can more efficiently deliver working solutions that combine the client’s own data and data from a range of LLMs available through Amazon Bedrock. This way, multiple Proof of Concepts (PoCs) can be developed, tested, and deployed at speed while reducing compute.
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Further, both companies have entered into an extended strategic collaboration to accelerate the adoption of generative artificial intelligence or GenAI solutions and technologies among enterprises in verticals such as aerospace, automotive, and financial services. The collaboration will enable joint clients to move from pilots and proof-of-concepts (PoCs) to production at scale, by leveraging Capgemini’s networks of AWS Centers of Excellence, the IT services and consulting firm said in a statement Wednesday. This expanded collaboration will also accelerate the deployment of innovative industry-specific and functional use cases using Amazon Bedrock to access a range of foundational models, including Amazon Titan.
“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,” said said Jerome Simeon, Head of Global Industries and Group Executive Board member at Capgemini. “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,” said Swami Sivasubramanian, Vice President of Data and AI at AWS. The strategic collaboration with AWS will incorporate a “unique methodology and accelerators developed by data and AI experts at Capgemini”, as per the statement.
The companies said that using large language model (LLM) cascading and prompt tuning can more efficiently deliver working solutions that combine the client’s own data and data from a range of LLMs available through Amazon Bedrock. This way, multiple Proof of Concepts (PoCs) can be developed, tested, and deployed at speed while reducing compute. “,”keywords”:[“Internet”,”Capgemini”,”Aws”,”Data”,”Amazon Bedrock”,”Amazon”,”Amazon Web Services”,”GenAI”,”Aws Centers Of Excellence”],”articleSection”:”Internet”,”url”:”https://telecom.
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