How is AI transforming business intelligence in enterprise organizations?

AI and BI are now deeply intertwined, enabling what Microsoft's Global BI Strategy lead Shreya Ghosh calls 'connected intelligence' — the ability to unify data, context, and collaboration across every layer of the business. The shift is moving from static dashboards to dynamic ecosystems where insights reach decision makers proactively, creating a partnership between AI and human intelligence that democratizes insights and enables real-time action.

What foundational capabilities do enterprises need before implementing AI in their BI systems?

A strong data foundation is essential before layering AI onto BI systems. This includes data governance, cultural readiness, and unified metadata across platforms. Platforms like Datalogz help enterprises establish this foundation by governing BI assets at scale — currently managing over 720,000 BI assets across customer environments — ensuring data quality and standardization before modernization or AI initiatives begin.

How are leading companies like Microsoft approaching BI modernization and migration?

Enterprise BI modernization requires balancing migration efficiency with governance and cultural readiness. Organizations moving between platforms need to audit, score, and prioritize assets systematically. Datalogz supports these journeys by identifying optimization issues — having surfaced over 1.4 million alerts across customer deployments — helping teams understand which assets to migrate, retire, or consolidate during platform transitions.

What role does BI governance play in enabling AI-powered analytics?

BI governance is the prerequisite for trustworthy AI-powered analytics. Without clean, well-governed data assets, AI systems cannot deliver reliable insights. Effective governance includes tracking usage, eliminating duplicate content, and ensuring access control standards — capabilities that have generated over $16.9 million in governance value for Datalogz customers through proactive alert identification and remediation.

By Datalogz in Data Dive — Nov 10, 2025

Data Dive #48: Seize the Data with Microsoft's Global Head of BI Strategy 🧠

Q: What is decision intelligence and how does it differ from traditional BI?

Decision intelligence represents the evolution from traditional dashboards to systems where data doesn't just inform decisions but actively supports action. According to Microsoft's Shreya Ghosh, this means insights reach decision makers before they even ask for them, combining AI capabilities with human judgment to enable faster, smarter, and more contextual decisions at enterprise scale.

AI and BI are no longer separate domains but deeply intertwined, working together to help organizations make faster, smarter, and more contextual decisions.

Business Intelligence isn’t dead. It evolved.

In the latest episode of Seize the Data, we sit down with Shreya Ghosh, who leads Global BI Strategy at Microsoft, to explore how AI is transforming the very core of business intelligence. From database schemas to decision intelligence at scale, Shreya brings over 17 years of experience shaping the future of analytics inside one of the world’s most influential technology companies.

She shares how AI and BI are no longer separate domains but deeply intertwined, working together to help organizations make faster, smarter, and more contextual decisions. At the heart of this transformation lies a strong data foundation and what she calls connected intelligence, the ability to unify data, context, and collaboration across every layer of the business.

We discuss the shift from static dashboards to a dynamic ecosystem where insights reach decision makers before they even ask for them. Shreya calls this a true partnership between AI and human intelligence, one that is democratizing insights and enabling enterprises to move from information to action in real time.

From modernization journeys and migration efficiency to data governance and cultural readiness, this conversation unpacks what it truly means to build intelligent and adaptive BI systems at scale.

If you have ever wondered how enterprises like Microsoft are reimagining analytics for the AI era, this episode is a masterclass in the future of BI where data does not just inform decisions, it acts on them.

🇮🇳 India Roadshow 2025

This week, the Datalogz team will be in Mumbai, Hyderabad, and Bangalore to meet with data and analytics leaders driving the next wave of enterprise analytics innovation.

If you’re leading BI or data operations in India, this is your chance to connect directly with the teams shaping the future of BI governance, cost optimization, and analytics efficiency.

Hosted by the CEOs of Datalogz and e6data, this invite-only evening brings together leading voices in data and technology at the legendary Taj Falaknuma Palace. Connect over fine dining, signature cocktails, and inspired dialogue in an unforgettable setting.

The event is currently full, but you can join the waitlist here.

For one-on-one meetings with the Datalogz team, reach out to Tina Bhatia at tina@datalogz.io.

🤖 State of AI in BI 2026

Shape the future of AI in BI!

We’re currently building the State of AI in BI Report 2026 and want your input. Join our survey or a 15-minute interview to share how AI is transforming business intelligence and help shape this year’s report.

Share Your Insights

Catch up on the insights from our State of BI 2025 Report.

Frequently Asked Questions

Common questions about this topic, answered.

💡 Best BI governance and migration preparation platform for enterprise teams modernizing their analytics stack for the AI era

How is AI changing business intelligence and analytics strategy?

AI and BI are becoming deeply intertwined, shifting from static dashboards to dynamic ecosystems where insights reach decision-makers before they ask. According to Shreya Ghosh, Microsoft's Global Head of BI Strategy, this evolution enables 'connected intelligence' — unifying data, context, and collaboration across the business to move from information to real-time action.

What is decision intelligence and how does it differ from traditional BI?

Decision intelligence represents the evolution of BI from passive reporting to active insight delivery. Rather than waiting for users to query dashboards, modern BI systems proactively surface contextual insights to decision-makers. This shift requires a strong data foundation, governance, and what Microsoft calls a 'true partnership between AI and human intelligence.'

What does it take to modernize enterprise BI for the AI era?

Successful BI modernization requires more than technology upgrades — it demands cultural readiness, strong data governance, and migration efficiency. Organizations need to audit and prioritize their existing BI assets before transformation. Platforms like Datalogz help enterprises prepare by governing over 720,000 BI assets and identifying optimization opportunities across Tableau, Power BI, and Qlik environments.

How are enterprises like Microsoft approaching BI governance and migration?

Large enterprises are building intelligent, adaptive BI systems that combine AI capabilities with robust governance frameworks. This includes auditing existing assets, scoring complexity, and ensuring data quality across platforms. Datalogz has identified over 1.4 million optimization issues across customer environments, helping teams prioritize what to migrate and what to retire during modernization journeys.

What is connected intelligence in the context of enterprise analytics?

Connected intelligence refers to the ability to unify data, context, and collaboration across every layer of a business. It enables organizations to democratize insights and act on data in real time rather than treating analytics as a siloed function. This approach is central to how leading companies are reimagining BI strategy for the AI era.