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Data and AI

Data powered enterprises 2024

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The most recent report from Capgemini Research Institute’s data-powered enterprises series highlights the surge in organizations unlocking value from data for business and financial gains.

The report, Data-powered enterprises: The path to data mastery, is based on surveys of 500 data executives and 500 business executives. It found that two-thirds of executives say that their organization now leverages this data for new products or services.

The report also found that while some challenges identified in the 2020 edition of the research persist, they have diminished, and new priorities—such as generative AI—have emerged.

According to the report, 60 percent of organizations have implemented pilots or early proofs of concept (PoCs) for generative AI initiatives using their enterprise data. However, 75% of organizations say that large-scale deployment of generative AI PoCs is a significant challenge.

Data-powered enterprises The path to data mastery also examines organizational readiness to incorporate generative AI into their processes. Only 40% of data executives believe their organizations are mature enough on non-technical foundations (such as culture, ethical guardrails, governance mechanisms, legal and regulatory frameworks) to harness generative AI. In contrast, over half (56%) consider themselves mature on technical foundations (data, technology, infrastructure, and technical skills).

The path to becoming a data-powered enterprise has become more demanding as the range of data use cases continues to expand. To find out more, download the full report.

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Data and artificial intelligence

Meet our experts

Niraj Parihar

Insights & Data
Insights & Data

Ron Tolido

Executive Vice President, CTO, Master Architect – Insights and Data
Ron is the Executive Vice President, CTO, and Chief Innovation Office at Capgemini Insights & Data global business line. He is a Certified Master Architect and a member of the Capgemini group Chief Technology, Innovation & Ventures council.

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.

Sergey Patsko

Data & AI for Intelligent Industry leader ​
I partner with my clients to drive Digital Transformation through Data & Artificial Intelligence: facilitate digital strategy sessions, design thinking workshops, Data Science use cases scoping, and road-mapping. We collaborate to establish enterprise-wide AI Centers of Exellence, AI Trust framework, ways to built and deploy Machine Learning applications in production, at scale. I also run Business of AI training for CxOs.

Dinand Tinholt

Vice President, Insights & Data, Capgemini
“Even while investment levels in data and AI initiatives are increasing, organizations continue to struggle to become data-powered. Many have yet to forge a supportive culture and a large number are not managing data as a business asset. For many firms, people and process challenges are the biggest barriers in activating data across the enterprise.”