Customer Happiness Unlocked: Real-Time Insights at Uber Scale with Elastic


Details
Join the Elastic Chicago User Group on Tuesday, February 25th for a meetup. Jatin Kumar Malik (Principal Software Engineer) and Michael Cizmar (Search AI Specialist at MC+A) will present, followed by networking, refreshments, and pizza.
Thank you to Improving for hosting our meetup. Improving is a modern digital services consulting firm focused on solving business problems with innovative technical solutions.
RSVP Instructions:
Please provide your email when you register for this event for building security.
đź“… Date and Time:
Tuesday, February 25th from 5:30-7:30 pm CST
📍Location:
Improving - 222 S Riverside Plaza 15th Floor, Chicago, IL 60606
🪧Arrival Instructions:
- Please bring an ID for check-in
- Upon arrival at 222 Riverside, check in at the Improving table
- Take the elevator to the 15th floor - the meetup will be in the common area through the doors.
📝 Agenda:
- 5:30 pm: Doors open; say hi, grab a seat, and eat some food.
- 6:00 pm: Welcome & Introduction - Improving
- 6:05 pm: Cracking the Code of Customer Happiness: Real-Time Insights at Uber Scale - Jatin Kumar Malik (Principal Software Engineer)
- 6:40 pm: Build Generative AI Apps with A Low Code Local Advanced Open-Source Stack - Michael Cizmar (Search AI Specialist at MC+A)
- 6:45-7:30 pm: Networking & refreshments
đź’ Talk Abstracts:
Cracking the Code of Customer Happiness: Real-Time Insights at Uber Scale - Jatin Kumar Malik (Principal Software Engineer)
Imagine trying to understand the real-time mood of millions of customers across the globe, all while ensuring a massive platform runs smoothly. At Uber, my team faced this exact puzzle. We were responsible for Customer Obsession, and the sheer volume of feedback pouring in from various channels: social media, support tickets, in-app help, was overwhelming.
We needed to move beyond reactive support and proactively understand emerging issues as they happened. How do you sift through this noise to pinpoint critical problems impacting riders and drivers right now? This talk will explore the challenge of gaining real-time, unified insights at Uber's scale and how we turned to Elastic to help us decode customer happiness and platform health. Join me to learn about the problem we tackled and the initial steps we took to get closer to a solution.
Build Generative AI Apps with A Low Code Local Advanced Open-Source Stack - Michael Cizmar (Search AI Specialist at MC+A)
AI Agents, Copilots, and Tools are the rage these days as organizations seek to unlock the full potential of their data. The integration of advanced AI capabilities with robust search infrastructure has become a strategic priority in order to improve RAG. This talk explores the seamless synergy between Dify and the Elastic stack, demonstrating how to leverage Dify’s user-friendly generative AI workflows to enhance Elastic’s powerful search and analytics capabilities.
We'll delve into real-world use cases, such as creating conversational AI agents, enriching search results with AI-driven insights, and scaling these solutions efficiently. Attendees will learn best practices for integrating these technologies, managing data pipelines, and optimizing performance for enterprise-grade applications. Whether you're new to Dify, Elastic, or both, this session will provide actionable insights and inspire new possibilities for AI-powered search innovation.
Agenda
- RAG Basics – Building the inverted pyramid
- Dify Overview
- The Local AI Stack
- New Components To Integrate the Two
- Sample Workflows

Sponsors
Customer Happiness Unlocked: Real-Time Insights at Uber Scale with Elastic