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.
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.
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:
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.
A composite organization in the commissioned study conducted by Forrester Consulting on behalf of Dataiku saw the following benefits:
reduction in time spent on data analysis, extraction, and preparation.
reduction in time spent on model lifecycle activities (training, deployment, and monitoring).
return on investment
net present value over three years.