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Data and AI

We are a “Leader” and a “Star Performer” in Advanced Analytics and Insights Services PEAK Matrix® Assessment 2022

For the third consecutive year, we have been cited as a “Leader” in the Everest Group PEAK Matrix® for Advanced Analytics and Insights (AA&I) Service Provider 2022 assessment. And this year, we are recognized as a “Star Performer” too!

The report assesses 32 leading service providers on their market impact, overall vision, and capabilities. This recognition speaks volumes about our vision and ability to drive positive business outcomes for our clients. It is also a strong reflection of our talents’ unyielding attitude towards driving the best results for us as an organization while delivering value to our clients.

“Capgemini has been positioned as a Leader in Everest Group’s Advanced Analytics and Insights Services PEAK Matrix® Assessment 2022 due to its deep domain expertise and talent strategy combined with its strategic focus on enhancing its IP assets such as the 890 and IDEA platforms,” said Vishal Gupta, Vice President, Everest Group.

The Everest Group PEAK Matrix report recognized us for the following capabilities:

  • Comprehensive suite of Data and Analytics portfolio including the IDEA by Capgemini platform – a set of AI accelerators that help organizations scale AI – and the 890 by Capgemini offer for data exchange
  • Unique delivery model that helps clients optimize costs and drives competitive value
  • Talented global workforce of data and analytics experts who have the right mix of technical skill sets and sectoral expertise, and continued investment in talent upskilling

Being at the forefront of innovation to drive value-creation through its leading portfolio offers and talent!

Some of the many parameters outlined for “Leaders” in the Advanced Analytics and Insights (AA&I) Services PEAK Matrix® Assessment 2022 are that they have a vision that is focused on driving business outcomes through process-embedded analytics and next-generation services for their customers. They must make sustained organic and inorganic investments to bridge portfolio gaps to achieve, build domain capabilities, and drive strategic partnerships with clients.

We have been selected as a “Leader” as we are at the forefront of innovation and driving change with our thought leadership, partnerships, co-innovation with clients and partners, and internal investments in emerging themes such as AI, analytics and insights democratization, IoT analytics, data marketplaces, and data literacy.

Industrialized Data & AI Engineering Acceleration by Capgemini with Microsoft

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    890 by Capgemini

    Introducing 890 by Capgemini. Data-powered decisions, delivered with confidence

      Our Experts

      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.

      Padmashree Shagrithaya

      Head of AI, Analytics and Data Science
      “Managing multiple machine learning models, built by varied teams is a huge challenge. MLOps is a powerful approach to bring all the pieces together and reap larger organization-wide value from AI at scale projects.”

      Ramana Bhandaru

      Executive Vice President, Financial Services Insights & Data
      As head of FS I&D, I provide oversight for our Banking, Capital Markets and Insurance clients and solutions. I also work with CDOs and CTOs advising on strategy and road maps. I advise on acquisitions, partnerships and represent my organization and Capgemini as an industry expert across Financial Services.

      Mukesh Jain

      Head of Innovation and Strategic Asset, Capgemini
      “The right solution will allow businesses to become Data Masters. They have developed strong capabilities to harness their data – both in terms of the tools and technology required, and the DNA within the organization that encourages data analysis and data-driven decision-making”