Overview
In today's industrial landscape, predicting asset health is a fundamental priority, achieved through formula-driven methodologies proven to be highly effective with good data. The real challenge emerges when you are confronted with seemingly bad data. We are all familiar with the term “garbage in, garbage out,” but how we distinguish good from bad is traditionally challenging. Manual scrutiny of data by humans, while invaluable, is often hindered by time constraints, making it impractical for comprehensive analysis. To address this, you can embrace data science to help prioritize human focus, offload mundane tasks, and ensure effective resource allocation.
Join us on Thursday, August 24th at 1:00 PM CDT as Inspectioneering teams up with Pinnacle for our latest webinar, "Using Data Science to Eliminate Your Fear of Bad Data for Predictive Asset Management." During this webinar, we will address the challenge of extracting true value from your data and explore how integrating data science methodologies can transform this process and avoid dismissing valuable insights. We will once again be joined by Dr. Andrew Waters and Kevin Birkby who will showcase several compelling case studies and discuss a straightforward approach to building trust in your data by leveraging data science. Participants will gain an understanding of how to perform a data health assessment and learn how to incorporate data science into their reliability resource toolkit to enhance predictive asset management strategies, eliminate manual efforts, and unlock the full potential of data-driven decision-making.
The discussion will conclude with a brief Q&A session to address questions submitted during the presentation. This webinar is complimentary and registration is easy – simply click the button below to get started.
