How Razorpay Built an AI Analyst That Replaced 20 Data Scientists’ Worth of Work

1. 1Build a reasoning engine using machine learning algorithms to handle complex queries
2. 2Integrate the engine with existing data infrastructure to enable seamless data analysis
3. 3Configure the engine to learn from user interactions and improve its performance over time
4. 4Test the engine with a small set of users to validate its effectiveness
5. 5Apply the engine to multiple business units to maximize its impact

Data scientists, product managers, and business analysts can benefit from understanding how AI can automate complex data analysis tasks, improving efficiency and scalability

💡 AI can be used to automate complex data analysis tasks, freeing up human resources for more strategic work

💡 Razorpay's DataGaaru AI analyst replaced 20 data scientists' work, handling 1,500+ queries across 40 business units! #AI #MachineLearning