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Generative ai in organizations

Harnessing the value of generative AI: Top use cases across industries

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People are excited about generative AI, eager to apply it in many areas of work and life, highlighting a growing interest in the technology. In our newest Capgemini Research Institute report, Harnessing the value of generative AI: Top use cases across industries, we delve into the transformative potential of the technology specifically from the perspective of organizations. This report is the second part of our series on generative AI and follows our previous report that looked at generative AI through the consumer lens.

Before evaluating the usefulness of an emerging technology, it is important to properly define it. So, what is generative AI? Generative AI is a technology with the capability to learn and reapply the properties and patterns of data for a wide range of applications, from creating text, images, and videos in different styles to generating tailored content. It enables machines to perform creative tasks previously thought exclusive to humans. This creates a wide range of applications for generative AI – from summarizing and translating text to customer service. One prominent example of the technology is OpenAI’s ChatGPT, which focuses on text generation and has seen significant popularity among consumers.

Naturally, the range of uses holds a lot of appeal for organizations, which see potential for accelerating growth, enhancing operations, and unlocking new opportunities. Already, 96% of organizations say generative AI is on their boardroom agenda. And their outlook is quite optimistic: executives predict improvements of 7–9% resulting from generative AI adoption in just the next three years, and about one-fifth of executives surveyed globally say generative AI will significantly disrupt their industries.

In light of the growing relevance of generative AI to organizations, we aim in this report to introduce generative AI to business audiences and executives, highlight interest in the technology and evaluate the market’s view of its potential, look at its various applications across business functions, and examine the top industry use cases. Finally, we provide a few suggestions to organizations to help them on their generative AI journeys.

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Meet our experts

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.

Robert Engels

CTO Insights & Data North-Central Europe
Robert is an innovation lead and a thought leader in several sectors and regions, and holds the position of Chief Technology Officer for Northern and Central Europe in our Insights & Data Global Business Line. Based in Norway, he is a known lecturer, public speaker, and panel moderator. Robert holds a PhD in artificial intelligence from the Technical University of Karlsruhe (KIT), Germany.

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.

Valérie Perhirin

Managing Director, Data, Analytics & AI, Capgemini Invent
Valerie leads a global team of data scientists and analysts that partner with clients to design end-to-end data strategies. Her continued focus on leveraging the latest in technology and advancements in AI and modern analytics, ensures clients achive real business value at scale from data.