Webinar - Using Predictive Analytics with Industrial Data
Learn how to utilize IIoT data along with other enterprise data sources to gather context and insight. Many companies already have data acquisition systems and are using reactive approaches such as condition-based monitoring.

They are now looking to move from a reactive to a proactive approach by using predictive and prescriptive analytics to stay ahead of manufacturing issues. Integrating data sources with IIoT data allows companies to make data-driven decisions to optimize product and process. Use cases include predictive maintenance and production forecasting.

During this expert-led webinar, you will:

  • Understand the process of using Predictive Analytics
  • Understand the value of Predictive Models at the Edge versus in the Cloud

About the Speakers:
Troy Wilson, Marketing Manager at Siemens, has given many presentations on the subject of IoT for businesses. He is a 4 year veteran of the automotive industry. He is the team marketing manager for Siemens MindSphere, Siemens open platform for IoT, and has served 11 years with Siemens Software. Troy has a bachelor’s degree in computer engineering.

Ujval Kamath is the Lead Data Scientist at Siemens MindSphere Americas, focused on helping Siemens customers solve their industrial IoT use cases using visual, predictive, and perspective analytics. He has experience with in a wide range of industries, including Energy, Automotive, and Biomedical Manufacturing.

To watch, please complete the form on this page. This webinar is sponsored by Siemens.