RESEARCH REPORT

Meet the early
adopters

See how data and business leaders are
leveraging GenAI to get ahead

67% of leaders report using
GenAI for data and analytics

Don’t get left behind. Drill into the survey data and real-world accounts to uncover the technology, process, and cultural requirements for a successful GenAI implementation.

projected by nearly half of the
surveyed early adopters

view GenAI as a competitive
advantage

of early adopters rely on
in-house GenAI tools

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Comments

Surveying the state of GenAI in
data and analytics

Insights from 1k data and business leaders

Responses from major economic markets

Insights measured across company size

Surveyed leaders from a number of top industries

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Insider insights

We used advanced AI techniques to learn which plants are performing the best. Then, we determined what actions the other plants need to take to bring themselves up to that level. This is not something you can do with a traditional business intelligence platform.

Marc Labelle

Global Director of the Enterprise Data Office

We have several calculations for ROI. In some cases, it will be based on productivity gains, or operational savings. In other cases, it will be from incremental revenue. Other times, it may be from a new product idea.

Anil Kumar

VP of Data and AI Engineering

Generative AI is going to be in every nook and corner of your business, so it's important for everyone to understand the basics and speak the same language.

Beena Ammanath

Global Head of the Deloitte AI Institute and Author

Data integration, data preparation, and data management are the most important factors for being successful with generative AI. Organizations should work on getting their data in order before getting started.

Tom Davenport

Distinguished Author and Professor