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Data and AI

From the desk of data leaders

KEY TRENDS & CHALLENGES FOR 2024

In 2024, Generative AI (Gen AI) is a priority on the General Data Management Agenda

After the most eventful year in the history of Gen AI, we asked 53 data managers from large- and medium-sized French companies to speak on the evolution of their data management strategy. 
 
 Gen AI is no longer simply disrupting what it means to be a Chief Data Officer (CDO). It is now on the immediate general management agenda. 2023 saw the rapid launch of new experiments designed to form convictions on how Gen AI is used, an understanding of its technologies, and an assessment of its associated risks. As an innovative management consultancy, one key development was the incorporation of generative AI in data management.

Data managers are now committed to making 2024 the year of data management solutions by embracing new use cases, deploying tools throughout their organizations, and natively embedding this innovative technology. At the same time, the enactment of the European Union’s AI ​​Act will accelerate the creation of trustworthy artificial intelligence.

Discover the key figures, testimonials, and conclusions from our 5th Barometer of Data Management Directions.

Thought Leadership

In summary

  • Generative AI at the heart of business concerns 
  • Organizations transforming through data 
  • Three major value-generation challenges in 2024 

Surveyed Companies:

With testimonials and contributions from companies in various sectors:

  • AG2R, April, CCR RE, Groupama, Matmut, SCOR (insurance) 
  • Arkea, La Banque Postale, BPCE, BNP Paribas, Crédit Mutuel, LCL (banks) 
  • Chanel, Christian Dior Couture, Danone, Décathlon, ETAM, Eureden, L’Oréal, LSDH, Manutan, Terrena (consumer goods, retail, distribution) 
  • EDF R&D, Engie, GRTGaz, Orano, Schneider, Technip, Veolia Eau France (energy, utilities) 
  • Arcelor Mittal, EGIS, Eramet, MBDA, Michelin, Modulaire Group, Plastic Omnium, Safran, Saint Gobain, setec, Ynsect (industries) 
  • Ministry of Culture, Ministry of the Interior and Overseas Territories, Pôle Emploi, Ile-de-France Region (public services) 
  • GSF, Orange, Santeclair, Sodexo, SNCF (other)

Our experts

Jonathan Cassaigne

Partner & Director of Expertise, Quantmetry, part of Capgemini Invent
Jonathan is a Partner and Director of Expertise at Quantmetry. He leads the Data Strategy department and assists clients in defining their data transformation ambitions and in implementing their operational models. He has over 15 years of experience in digital and data strategy consulting.

Matthieu Vannier

Manager of Data Strategy Expertise, Quantmetry, part of Capgemini Invent
Matthieu is the Manager of Data Strategy Expertise and supports leaders in understanding their business challenges in relation to data and artificial intelligence, then helps them “convert the try” by developing the right transformation programs across all data dimensions: technological, organizational, and human.

Pierre Demeulemeester

Vice President, Data Strategy & Transformation, Capgemini Invent  
I support large organizations transform their business leveraging AI & Data. Together, we define priorities, build the capabilities, and support their transformation to deliver profitable Data & AI at scale with an accelerated time to market.

Baptiste Smagghe

Managing Consultant of Data Strategy, Capgemini Invent
Baptiste is a Senior Manager in the Data Strategy entity of Capgemini Invent. He has led numerous Data, AI, and Gen-AI strategy projects and managed portfolios of AI use cases. He has developed a Data & AI benchmark with CAC40 companies to assess the maturity of organizations and identify best practices in the market.

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