Analytics Club Presents AIspire Day 4: Session with Virupaxi Mirje

On 11th August 2025, the Analytics Club at SCMHRD hosted the fourth session of AIspire 2025 on the topic "From Data to Decision: AI-Driven Decision Making." The session was delivered online by Mr. Virupaxi Mirje, Data Science Practice Manager - Digital CoE, SLB.

The talk explored the evolution of decision-making from pre-2000 intuition-driven choices to the current era, where AI-powered analytics and automation guide strategic and operational outcomes.

Evolution of Decision-Making

Mr. Mirje highlighted how the shift from gut-based decisions to data-driven strategies has redefined industries. Key points included:

• Evolution of Decision-Making: From intuition and emotion to data analytics, cloud computing, and AI-driven insights.

AI Approaches

• Rule-based systems: For structured, deterministic tasks.
• Machine Learning models: For pattern recognition and predictive outcomes.
• Deep Learning: For complex, human-like reasoning.

Applications Across Domains

• Healthcare: Predictive diagnosis and personalized care.
• Finance: Fraud detection, credit scoring, and portfolio optimization.
• HR & Talent Management: Recruitment analytics, resume screening, and performance prediction.
• Supply Chain: Forecasting, logistics optimization, and risk reduction.
• Public Policy & Governance: Enhancing transparency, resource allocation, and citizen services.

Ethical Challenges

• Bias in data, explainability of models, and ensuring fairness through human oversight.

He emphasized that while AI can transform industries, human judgment remains essential to ensure accountability and fairness.

Student Reactions and Takeaways

Students found the session particularly valuable for its balanced perspective on AI-combining technical insights with ethical considerations. The examples across multiple sectors helped them appreciate AI not only as a technological advancement but also as a strategic enabler when paired with human oversight.