5 ways data teams must lead in AI-driven organizations [Video]

The future of work requires data teams to lead with data governance, ops, and products that make data reliable and discoverable for business users and use cases.

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Generative AI has inspired a surge of interest in using data to improve the accuracy of business decisions. Business managers, data analysts, and citizen data scientists can now use prompts instead of SQL queries to ask questions, interact with large language models rather than dashboards, and scan ML-generated recommendations instead of exploring data for insights.

According to the 2024 AI at Wharton report, 72% of respondents were using genAI at least once a week. Over 80% of respondents working in IT, business intelligence, customer service, marketing, operations, and product development stated that using genAI had a medium-to-high impact in their work.

Data teams and specialists—including data scientists, engineers, architects, and data governance specialists—should take the opportunity to provide more data services to departments adopting genAI. These early and mid-adopters are …