Search Results: ai data quality (529)

In this case study, we will describe how a company in the glass industry captured IoT data for analysis in order to mitigate production quality issues.  The company needed a solution that would reduce their data acquisition and processing time so they could make in-process changes to the production line and reduce quality incidents.  We will highlight the strategy, approach and delivery of a system built with Azure tools that increases response to quality issues by more than 70 percent!

The content of this session is geared toward an audience with intermediate to advanced-level knowledge of the subject area.

This session will be available for CPE credits pending completion of session survey post event.