Capgemini, AWS Partners to Bring Enterprise-Wide Generative AI Integration
The global consulting and technology services firm Capgemini has solidified a multi-year strategic collaboration with Amazon Web Services (AWS) to propel the widespread adoption of generative AI solutions. This innovative partnership aims to empower organizations across the spectrum to seamlessly integrate generative AI technologies into their operations, transcending challenges such as cost, scalability, and trust. Through this extended collaboration, Capgemini and AWS will guide joint clients in transitioning from experimental pilots to full-scale generative AI implementations, utilising Capgemini’s extensive network of AWS Centers of Excellence (CoEs). The strategic focus is leveraging Amazon Bedrock, a repository of secure and high-performing foundational models, including Amazon Titan, to deploy industry-specific and functional use cases. As a key facet of this initiative, Capgemini and AWS will collaborate to develop industry-specific solutions, assets, and accelerators, enhancing the Total Cost of Ownership (TCO) for clients. The partnership introduces a unique platform to optimise large language models (LLMs), fostering the best production costs for generative AI. What is the partnership all about? AWS and Capgemini have collaboratively driven impactful initiatives, from facilitating seamless migrations to developing cloud-based contact centres jointly. Notably, in 2023, they expanded their collaboration to accelerate the adoption of generative AI solutions and technologies. This alliance had proven mutually beneficial, with Capgemini leveraging AWS’s cloud expertise, resulting in successful endeavours such as migrating a major European retailer to the cloud and establishing a cloud-based contact centre for a global bank. Capgemini is all set to expand its global network of AWS CoEs and invest in training 30,000 employees in AWS’s advanced technologies over the next three years. This move aligns with Capgemini’s €2 billion investment in AI. Jerome Simeon, Head of Global Industries at Capgemini, emphasises the importance of scalability in AI implementations, stating, “It’s imperative for clients to be able to scale their AI implementations quickly to drive tangible value, optimise investments, and meet the specific needs of their industry.” Swami Sivasubramanian, VP of Data and AI at AWS, highlights the democratisation of generative AI, stating, “Fueled by massive amounts of enterprise data and human intelligence, joint clients will be able to build and scale generative AI applications that are customised to their business, with privacy and security at the core.” The collaboration further introduces industry-specific solutions across aerospace, automotive, and financial services, showcasing the potential of generative AI in image recognition, supply chain optimisation, and enhancing customer experiences. Vincent Etchebehere, VP of Sustainability and New Mobilities at Air France lauds the sustainability impact of the collaboration, stating, “Circular economy is an important axis of our sustainability roadmap.”
Through this extended collaboration, Capgemini and AWS will guide joint clients in transitioning from experimental pilots to full-scale generative AI implementations
Capgemini has solidified a multi-year strategic partnership with AWS to propel the widespread adoption of generative AI solutions.
["capgemini", "partnerships"]
["AWS", "AI", "R", "ML", "image recognition", "Scala", "RAG", "Aim", "generative AI", "partnerships", "Rust", "capgemini"]
["AI", "ML", "generative AI", "Aim", "RAG", "image recognition", "AWS", "R", "Rust", "Scala"]
Sandhra Jayan is an enthusiastic tech journalist with a flair for uncovering the latest trends in the AI landscape. Known for her compelling storytelling and insightful analysis, she transforms complex tech narratives into captivating, accessible content. Reach out to her at sandhra.jayan@analyticsindiamag.com