This session explores how analytics has evolved in the age of AI, shifting from traditional approaches focused on descriptive and diagnostic insights to more advanced capabilities enabled by AI and machine learning. It will begin by reflecting on how analytics teams historically spent significant time generating reports and analyzing past performance, and how the integration of AI and advanced analytics is now enabling faster data processing, deeper pattern recognition, and smarter decision-making. Through a practical use case, the session will demonstrate how organizations can leverage AI-powered analytics to move beyond understanding what happened to predicting what will happen and recommending what actions should be taken. The session will also highlight the importance of combining AI capabilities with human expertise, strong data foundations, and domain knowledge to generate meaningful business impact.
Keytakeaways:
1. Analytics is evolving from reporting insights to enabling intelligent decisions.
2. AI accelerates the analytics lifecycle, reducing manual effort and enabling faster insights.
3. The real business value comes from predictive and prescriptive analytics, not just historical reporting.
4. AI augments analysts, but human judgment and domain expertise remain critical.
5. The future of analytics lies in human and AI collaboration to drive smarter business actions.
- Date:28/03/2026
- Time:10:30
- Event:AI For Product Design @Pune
