How do you build more data talent in your organization? Sebastien Rozanes, the Chief Data and Analytics Officer at Carrefour, believes it's part recruiting—but it's also about alignment and shifting the culture. By improving data accessibility and usability, Carrefour is on a mission to make more data leaders inside the organization.

Have we saved the best for last? You be the judge. In the final segment of our four part series SVP of Product Sean Zinsmeister shows how easy ThoughtSpot makes it to enable generative AI-powered search on models and metrics defined in Looker Modeler.

👉 Ask questions about growth and trends in your data with ThoughtSpot Sage👉 Add rolling time windows and custom date ranges with the all-new date picker👉 Connect to SingleStore and access your data via live query Plus lots of new features and enhancements you’ve been waiting for.

From tailoring nutrition to crafting personalized experiences, see how tails.com uses ThoughtSpot, Snowflake, and dbt to take a data-first approach and transform the way you can cares for your furry companions.

In this segment, Geraldine Wong, CDO of GXS Bank observes that education has evolved from purely theoretical to more hands-on projects. However, education still needs to better teach students operations and governance, not just prototype building and reliance on machine learning.

In this segment, Geraldine Wong, CDO of GXS Bank, explains how her bank's data strategy aims to promote inclusion through superior data insights and AI, but achieving this requires building a data-driven culture by providing employees the right tools, access, and knowledge about the data.

Spend less time waiting for answers and more time crafting campaigns using ThoughtSpot’s search and generative AI-powered analytics.

Today SVP of Product @Sean Zinsmeister is highlighting the power of our free Google Workspace plugins to bring ThoughtSpot #generativeAI to Google Sheets and Slides.

In this segment, Sumathi Thiyagarajan of the Milwaukee Bucks discusses the challenge of building a diverse data team in a tight labor market, taking a broad approach to hiring from inside and outside the sports industry to get a mix of skills and mindsets. She emphasizes the opportunities for visibility and growth in a small, collaborative organization focused on enhancing the fan experience through data.

In this segment, Sumathi Thiyagarajan of the Milwaukee Bucks discusses the challenge of fragmented data in sports, and how her data team focuses on understanding the data, using it, and scaling it up to create a more cohesive data tech stack, while gradually making disparate data more actionable.