Accelerating the adoption and scaling of operational GenAI solutions on Amazon Web Services (AWS)
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Creating proofs of concept with GenAI is easy, creating production scale operational GenAI solutions is hard. The need for cost-optimization, guardrailing, metrics evaluation, operational support, and dynamic model onboarding and offboarding needs a new type of operational rigour, this is why Capgemini and AWS have collaborated on RAISE (Reliable AI Solution Engineering) powered by AWS. This helps organizations to safely leap the chasm between the happy path proof of concept and the secure operational GenAI solution.
GenAI implementations are on the rise in nearly every sector around the globe. In 2024, 88% of global organizations plan to focus on GenAI solutions.
But for those with existing proof-of-concept solutions, the challenge has been in moving their investments from pilot projects to production at scale in a way that is secure, cost-effective, and future-proof.
Capgemini’s partnership with AWS is helping enterprise clients unlock tangible business value in a rapidly evolving landscape by easily and cost-effectively scaling GenAI implementations. Here’s how.
“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.”
Swami Sivasubramanian, Vice President of Data and AI at AWS