Get the data-powered advantage

Our data and AI strategy helps companies address the most critical requirements to fully utilize data, analytics, and AI for competitive advantage, market impact, and business results.

Our offer focuses on four key areas to help clients craft a comprehensive, multifaceted data strategy, establish a scalable and sustainable data foundation, and ensure that their data, analytics, and AI fabric is agile, durable, and secure:

1. Data and AI mobilization
2. Data-powered innovation
3. AI and analytics scaling
4. Data and AI academy

Master Data Management (MDM)

Our Master Data Management services provide the frameworks, accelerators and solutions you need to create a centralized information hub that avoids typical point-to-point integration of different applications. 

MDM is a cloud-based solution powered by machine learning and AI. We help you harmonize the scattered and inconsistent master data gathered from all your internal data assets into a ‘single version of the truth – bringing a clear, consistent understanding of the data across your entire organization. 

Data Estate & BI Modernization

With the support of people, processes, and technology, our Data Estate and BI Modernization approach helps organizations transform their relationship with data.

In a world where continuous, rapid change is the norm, where hybrid multi-cloud context is mainstream, we create with you an industrialized and secure data estate, and the data fabric, that supports the level of business innovation you need to remain a market leader.

Industrialized Data & AI Engineering Acceleration (IDEA)

Industrialized Data & AI Engineering Acceleration (IDEA) from Capgemini helps organizations turn their data sprawl into a valuable strategic asset.

The true value of AI and Analytics cannot be realized from individual proofs of concept, but their at-scale deployment across business functions, units, and geographies.

As an end-to-end transformation partner, we work with clients to develop the methodology, framework, and environment to enable large-scale, production-grade intervention and deploy AI and Analytics at scale.

Our robust service offering and underlying business transformation capabilities address every aspect of the AI agenda – from laying a strong data foundation, to selecting the right tools, technology platforms, and agile practices, to establishing balanced operating models and ethical AI algorithms, to cultivating rich talent and partner pools.

890 by Capgemini
Data holds infinite possibilities – now is the time to activate its full potential. 890 by Capgemini is available on any cloud, and with a single interface, it puts you at the helm of your data. Data-powered decisions, delivered with confidence.

The key is finding the data that’s right for you, easily and quickly. By combining an extensive ecosystem of industry-specific, open, and exclusive sources with your own data, we can help you create specific insights that allow you to make key decisions with confidence. Trusted, robust, and curated to your needs, 890 by Capgemini helps clients take their business forward with confidence.

Machine Learning Operations (MLOps)
Leverage MLOps to improve quality and robustness, shorten deployment times, and unlock the benefit of sustainable and scalable AI models.

Organizations need strong support for scaling and industrializing AI/ML models. Capgemini provides a proven framework to stabilize, standardize, and optimize the entire AI/ML journey across popular cloud services, as well as on-premises setups.

Our MLOps framework, built on the key principles of DataOps and DevOps, offers clients access to reusable templates and pipelines to enable a model ecosystem, a mix of cloud native services and third party/open-source stack for added flexibility, customized model approval workflows for enhanced governance, and extensive plugins to enhance model monitoring.

Federated learning
Federated learning provides organizations with a decentralized model training capability. With our cutting-edge approach, models are trained locally and securely, aggregated centrally, and deployed back on edge – all without moving data outside its boundary.

AI and ML-driven business decisioning provides enormous value to the organization. However, challenges around data security and privacy, as well as the scalability of the platform, are major obstacles to widespread AI/ML adoption.

Federated learning, along with EDGE AI enablement, helps organizations overcome these challenges. Capgemini’s state-of-the-art Simulation Lab for Federated Learning & Edge Intelligence allows customers to leverage best-in-class FL frameworks to validate thinking and identify optimal use cases as they begin or continue their FL journey.

This enables you to seek guidance on starting an automation journey, scale up operations, enjoy sustainable automation benefits, and pursue capability growth and innovation that benefits from our world-class capability, and vertical and horizontal process experience.