Mastering the Model Life Cycle Orchestration Journey

Data Science Central Webinar Series Event Condition-based Monitoring Analytics Techniques In Action Join us for this latest DSC Webinar on September 30th, 2020 [tableau](432DD23E-137D-42A8-9DBE-C430B2639338) When it comes to running a successful business, every organization strives to find the most efficient strategy possible. With that being said, it’s important that businesses pick a technique that is reliable and effective as well, especially when dealing with high valued assets. Condition-Based Monitoring (CBM) can provide timely intervention which can significantly increase the lifetime and operational efficiency of high valued assets. It can be the first step to get meaningful analytics on vast amount of data generated across supply chains and support AI based models to derive value from the data and add analytical maturity. In this latest Data Science Central webinar, Priya Sharma and Paul Venditti will discuss real-world applications of analytical techniques to support condition-based monitoring use cases. Participants will: - Understand the importance of operational efficiency - Gain access to the latest SAS Event Stream Processing trial, including data sets and pre-loaded projects - Learn about real-world applications of analytics techniques to support Condition-based Monitoring use cases Speakers: Priya Sharma, Sr. Data Scientist - SAS Institute Paul Venditti, IoT Principal Industry Consultant - SAS Institute Hosted by: Rafael Knuth, Contributing Editor -- Data Science Central  Title:  Condition-based Monitoring Analytics Techniques In Action Date:  Wednesday, September 30th, 2020 Time:  9:00 AM - 10:00 AM PDT  Space is limited so please register early: [Reserve your Webinar seat now](  After registering you will receive a confirmation email containing information about joining the Webinar. --------------------------------------------------------------- [Videos]( | [Hire a Data Scientist]( | [Search DSC]( | [Find a Job]( | [Post a Blog]( | [Ask a Question]( Follow us on Twitter: [@DataScienceCtrl]( | [@AnalyticBridge]( _#IF(_#SP.GETCELLINFO(_CELLID__,_CLIENTID__).UDF4__==)__This email_#ELSE___#SP.GETCELLINFO(_CELLID__,_CLIENTID__).UDF4___#ENDIF__ is published by [TechTarget, Inc](., 275 Grove Street, Newton, Massachusetts, 02466 US, Click to: [Unsubscribe](_UNSUBLINK__) You are receiving this email because you are a member of TechTarget. When you access content from this email, your information may be shared with the sponsors or future sponsors of that content and with our Partners, see up-to-date [Partners List](, as described in our [Privacy Policy](. For additional information, please contact: webmaster@techtarget.com © _DATEYEARFULLNUM__ TechTarget, Inc. all rights reserved. Designated trademarks, brands, logos, and service marks are the property of their respective owners. [Privacy Policy]( | [Partners List]( [Â](?hpsrc=true) Visit Data Science Central at: Data Science Central, a division of TechTarget, Inc. 275 Grove Street, Newton, Massachusetts, 02466 US You received this network announcement because you are a registered member on Data Science Central Manage Email Preferences: To control which emails you receive on Data Science Central, [click here](. If you encounter any issues with your account please contact us at webmaster@techtarget.com