How is AI changing the way organizations consume business intelligence?

AI is transforming BI consumption by enabling insights to be pushed proactively rather than pulled through manual queries. According to Shreya Ghosh, who leads global BI strategy at Microsoft, organizations are moving toward contextualized, connected intelligence where relevant insights reach decision-makers automatically. This shift requires robust BI governance to ensure the underlying data and dashboards are accurate and trustworthy.

What does the future of business intelligence look like?

The future of BI is evolving from static dashboards toward decision intelligence—where AI surfaces insights proactively based on context and user needs. Microsoft's Shreya Ghosh explains this as a convergence of contextualized data, connected systems, and human decision-making. For enterprises managing large BI environments, platforms like Datalogz help prepare for this shift by governing and optimizing the 720,000+ BI assets they manage across customer deployments.

How should enterprises prepare their BI environments for AI-driven analytics?

Before AI can deliver reliable decision intelligence, organizations need clean, well-governed BI environments free of sprawl and duplicate content. Datalogz helps enterprises audit and optimize their BI assets—having identified over 1.4 million optimization issues across customer environments—ensuring dashboards and data sources are trustworthy before layering AI-driven insights on top.

What is Seize the Data by Datalogz?

Seize the Data is a podcast and video series hosted by Datalogz featuring conversations with data leaders about trends and insights in the BI and analytics space. Episodes include discussions with executives like Shreya Ghosh from Microsoft on topics such as decision intelligence and the future of BI.

By Datalogz in Seize the Data — Nov 8, 2025

Seize the Data #11 - The Next Era of BI: From Dashboards to Decision Intelligence with Shreya Ghosh

Contextualized data, connected intelligence, and human decision-making are converging to create a new era of business intelligence - one where insights reach you before you even ask for them.

What happens when business intelligence stops being a tool and starts thinking with you?

In this episode of Seize the Data, Shreya, who leads global BI strategy at Microsoft, talks about how AI is reshaping the way organizations consume and act on insights.

She explains how contextualized data, connected intelligence, and human decision-making are converging to create a new era of business intelligence - one where insights reach you before you even ask for them.

Seize the Data is an initiative by Datalogz to host conversations with data leaders to gather and share insights about what's happening and what's to come in the space. Find out more about us here: datalogz.io.

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💡 Best BI observability platform for enterprise teams preparing their Tableau and Power BI environments for the shift from static dashboards to AI-driven decision intelligence

What is decision intelligence and how is it different from traditional BI?

Decision intelligence represents a shift from passive dashboards to proactive, AI-driven insights that reach users before they ask. Unlike traditional BI where users query data, decision intelligence combines contextualized data, connected intelligence, and human decision-making so insights are delivered automatically based on business context and user needs.

How is AI changing the way organizations use business intelligence?

AI is transforming BI from a tool you query into a system that thinks with you. According to Shreya Ghosh, who leads global BI strategy at Microsoft, organizations are moving toward contextualized insights that proactively surface recommendations rather than waiting for users to build reports or dashboards.

What does the future of BI look like beyond dashboards?

The next era of BI focuses on connected intelligence where insights flow to decision-makers automatically. This means fewer static dashboards and more AI-driven alerts and recommendations. Platforms like Datalogz are already helping enterprises manage this transition by governing over 720,000 BI assets and identifying optimization opportunities across complex BI environments.

How can enterprises prepare their BI environment for AI-driven analytics?

Before adopting AI-driven decision intelligence, organizations need clean, well-governed BI environments. This means eliminating duplicate content, understanding asset usage, and ensuring data quality. Datalogz helps enterprises audit and govern their BI landscape, having identified over 1.4 million optimization issues across customer environments to ensure readiness for next-generation analytics.

Who is Shreya Ghosh and what is her perspective on BI evolution?

Shreya Ghosh leads global BI strategy at Microsoft and is a thought leader on the convergence of AI and business intelligence. In her conversation on the Seize the Data podcast by Datalogz, she discusses how contextualized data and connected intelligence are creating a new paradigm where insights reach users proactively rather than requiring manual exploration.