Topic: Data Analysis

Shashank from Mumbai presents a challenge for AI in production planning for food outlets, specifically Nilofer at Hyderabad airport. Traditional planning based on historical data (year-on-year, day-to-day) is insufficient due to dynamic factors like flight schedules and events, leading to 30-40% errors. The problem is correlating airport traffic inflow with sales to predict demand, requiring real-time consumption data which is difficult to obtain.

The speaker explains how they use the Jerry AI agent to analyze YouTube data, extract insights, and create dashboards, treating it like a smart employee capable of complex tasks.

The speaker illustrates the fragility of electronic evidence with a US court case example, highlighting how easily it can be compromised during handling and analysis, emphasizing the need for careful collection and analysis in controlled environments like forensic laboratories.