Adapt a structured, comprehensive flow to existing manufacturing processes by ingesting all relevant enterprise, operational, and external data. Then, improve production efficiency by training and deploying continuously updated AI models.
Discover the production quality control flow

Give AI-powered insights to production engineers and quality engineers with a business-friendly Production Quality Dashboard. Run on your existing processes and track the factors with the highest impact on production quality.

Use fully-explainable AI models and what-if analyses to simulate different operating conditions. Get clearer understanding of the most important production parameters with root cause analysis of production defects.

Set fully customizable triggers to track production processes in near real time. Use them to create and send alerts to operators on internal communication platforms like Microsoft Teams and Slack.
Discover dataiku features in this project

Give operators the chance to act early in the process by detecting changes in production, then leverage Dataiku streaming functionality to raise alerts on current operations. Shift from anticipated production quality detection and move from reactive to real time.

The Dataiku Solution for Production Quality Control helps answer a broad range of questions like: How do I track production quality changes over time? How can I make sure I am using all available production data? How can I better understand production defects and what adjustments need to be made? How can I improve collaboration between analysts, production engineers, and operators? How can I build in better lead time when quality issues are detected?
Read the documentation on production quality control

Improve the tracking of key manufacturing processes, and move towards embedding AI to adjust in near real time. Ensure high quality manufacturing through process improvement and engineering with Dataiku.
Discover the full capabilities of dataiku
