Data Analysis with GenAI
This is a comprehensive, hands-on Hack in a Day learning experience designed to help manufacturing and technology professionals understand how generative AI can transform operational data analysis.
- Beginner
- 6 hours
- Cloud and AI Platform
One day, guided
A single facilitated day. Every challenge validates automatically, so the room self-paces and the leaderboard settles itself. No jury needed.
Bookable now · we reply within one business day
Solution play
Innovate with Azure AI Apps and Agents
Overview
The lab guides participants through an end-to-end, production-style solution that ingests machine log data, enables semantic search, and delivers conversational, AI-driven insights using a Retrieval-Augmented Generation (RAG) approach. Participants work with real-world manufacturing signals such as temperature, vibration, machine status, and downtime events to identify trends, detect anomalies, and answer natural-language queries grounded in actual production data.
What participants work through
- Understanding the role of generative AI in assistance, recommendation, and autonomous manufacturing systems
- Ingesting and preparing sensor, production-line, and quality data for analysis
- Applying retrieval and LLM methods to summarize findings, generate commentary, and suggest root-cause diagnoses
- Building dashboards or interfaces to display insights, natural-language commentary, and recommended actions
- Identifying challenges in GenAI manufacturing deployments, including data governance, accuracy, and human-in-the-loop, with mitigation strategies
Technology stack
Azure StorageRun this with your teams
Environments, coaching, judging and reporting, all handled.