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Accelerating the adoption and scaling of operational GenAI solutions on Amazon Web Services (AWS)

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

Raising scalability and cost efficiency

RAISE is an efficient, interoperable, and scalable GenAI development solution and operational value case accelerator designed to facilitate solution deployments in this fast-evolving environment.

Paired with AWS GenAI components such as Amazon Bedrock, Amazon SageMaker, and Amazon Q, RAISE unlocks AWS’ breadth of capabilities to simplify and supercharge GenAI solutions through:

  • Scale-readiness
    Scaling GenAI solutions in organizations with multiple software environments and disparate datasets can be complex. RAISE aligns the technologies clients need to be successful with GenAI deployments. It effectively industrializes operations so that all of the work required to get a GenAI solution into production is significantly automated.
  • Trusted AI
    With a plethora of new solutions and large language models (LLMs), deploying GenAI can feel a bit like the Wild West. Trusted partners and tested systems are critical to ensuring organizations achieve the right business outcomes.
  • Cost-efficiency
    The costs involved in operating, scaling, and evolving GenAI deployments are different than the costs of managing traditional solutions. RAISE on AWS effectively reduces and simplifies operational costs associated with GenAI by decreasing the complexity of the operations.

Don’t get left behind by your LLM

As GenAI rapidly evolves, new LLMs are constantly becoming available. This means that investments in GenAI can rapidly become outdated. With RAISE, organizations are future-proofing their GenAI investments as it continuously adds new LLMs and allows innovation and iteration on GenAI solutions.

Reduce compute and increase deployment speed

Capgemini’s unique methodology, combined with AWS’ accelerators, LLM cascading, and prompt tuning, can efficiently deliver solutions that combine an organization’s own data with data from AWS’ portfolio of LLMs to develop, test deployment at speed, and reduce compute.

This creates tangible value that can be invested back into the business to accelerate innovation and explore a greater number of GenAI use cases at scale. By reducing the compute required for implementation there is also an opportunity to reduce the carbon intensity of GenAI projects.

Enable high-value business outcomes

As GenAI innovation progresses at lighting speed, enterprises cannot afford to be left behind. Organizations need to think differently about their operations – and how to optimize opportunities with GenAI. RAISE on AWS provides the level of industrialization that organizations need today to accelerate their future.

Unlock the transformative power of generative AI with Capgemini’s expertise and AWS partnership. We guide clients through challenges like cost, scale, and trust, enabling seamless transition from pilot to deployment at scale.

Leveraging our global network of AWS CoEs and 6,000+ Gen AI certified experts, we accelerate the deployment of industry-specific use cases, driving tangible business value and innovation. Our extensive library of 500+ enterprise-ready use cases and demonstrators, combined with successful client pilots, empowers us to advise CxO clients on high-impact, transformative initiatives.

RAISE – Reliable AI Solution Engineering

GenAI value cases operational accelerator for cost, scale, and trust

Latest news


Capgemini and AWS expand strategic collaboration to enable broad enterprise generative AI adoption

Capgemini today 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.

Jan 16, 2024

Expert perspectives

Meet our experts

Steve Jones

Expert in Big Data and Analytics
Steve is the founder of Capgemini’s businesses in Cloud, SaaS, and Big Data, a published author in journals such as the Financial Times and IEEE Software. He is also the original creator of the first unified architecture for Big Fast Managed data, the Business Data Lake. He works with clients on delivering large-scale data solutions and the secure adoption of AI, he is the Capgemini lead for Collaborate Data Ecosystems and Trusted AI.

Mark Oost

Global Offer Leader, AI Analytics & Data Science
Prior to joining Capgemini, Mark was the CTO of AI and Analytics at Sogeti Global, where he developed the AI portfolio and strategy. Before that, he worked as a Practice Lead for Data Science and AI at Sogeti Netherlands, where he started the Data Science team, and as a Lead Data Scientist at Teradata and Experian. Throughout his career, Mark has had the opportunity to work with clients from various markets around the world and has used AI, deep learning, and machine learning technologies to solve complex problems.

Anne-Laure Thibaud (Thieullent)

Executive Vice President, Data & AI Group Offer Leader
Choosing the right technology for the right usage is key, but how your company should change the way it acts around data is vital. My passion is to bring technology, business transformation and governance together and take our clients to where they want to be as Intelligent Enterprises, while cultivating the values of trust, privacy and fairness.

Eric Reich

AI & Data Engineering Offer Leader and Global Head, Insights & Data
Eric has over 20 years of experience and is been part of Capgemini Group portfolio team for Insights and Data, global practice. He is currently leading AI & Data Engineering team globally. With 16+ years of experience in the FS sector and 10+ years in the cloud and data space , he had the opportunity to work with some of Fortune 500 customers in the Assessment , Design and Execution phases of their data driven transformation.