Using IoT Data to Predict Product Failures and Slash Inventory Costs
An IoT product's log files speak volumes about what's happening with your products in the field, pinpointing current and potential issues, and enabling you to predict failures and save millions of dollars in inventory. But until recently, no one knew how to listen.
In his session at @ThingsExpo, Dan Gettens, Chief Research Officer at OnProcess, will discuss recent research by Massachusetts Institute of Technology and OnProcess Technology, where MIT created a new, breakthrough analytics model for spare parts forecasting and inventory planning using connected-product failure predictability. He'll show how, by analyzing IoT data, you can slash both costly inventory stock and stock-outs, and meet heightened customer expectations for repairs and uptime.
Dan Gettens drives OnProcess' Analytics initiatives, which provides OnProcess clients with deep visibility and actionable insights into the customer experience. He also leads the definition, development and delivery of the OnProcess analytics platform that underlies our managed services offerings, including predictive analytics, in-depth Voice of the Customer analytics and initiatives to apply Lean Six Sigma methodologies in developing these methodologies.
Prior to OnProcess, Dan was Vice President of Global Business for Corporate Software and Director of Global Accounts for Digital and Compaq. He is Lean Six Sigma Master Black Belt Certified, received a Bachelor's degree from Middlebury College, and Masters from Yale University and Rensselaer Polytechnic Institute. He also served on the Advisory Board of the Pricing Institute.
@ThingsExpo - The World's Largest 'Internet of Things' Event, November 1-3, 2016, at the Santa Clara Convention Center!
All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades.
@CloudExpo / @ThingsExpo 2016 Silicon Valley
(November 1-3, 2016, Santa Clara Convention Center, CA)
@CloudExpo / @ThingsExpo 2017 New York
(June 6-8, 2017, Javits Center, Manhattan)
With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend @CloudExpo | @ThingsExpo, November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be.
Register for @CloudExpo/@ThingsExpo 'FREE' Before Friday! ▸ Here
Track 1: Enterprise Cloud & Digital Transformation
Track 2: Microservices | Cloud Hot Topics
Track 3: Internet of Things & Cloud
Track 4: APIs & Cloud Security
Track 5: Big Data Analytics
Track 6: DevOps, Continuous Delivery & Containers
Track 7: Enterprise IoT & IIoT
Track 8: IoT Developer
Track 9: Consumer IoT | IoT Hot Topics
Delegates to Cloud Expo | @ThingsExpo will be able to attend 9 simultaneous, information-packed education tracks.
There are over 120 breakout sessions in all, with Keynotes, General Sessions, and Power Panels adding to three days of incredibly rich presentations and content.
Join @CloudExpo | @ThingsExpo conference chair Roger Strukhoff (@IoT2040), June 7-9, 2016 in New York City, for three days of intense 'Internet of Things' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) IoT's use in Vertical Markets.
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SYS-CON Media (www.sys-con.com) has since 1994 been connecting technology companies and customers through a comprehensive content stream - featuring over forty focused subject areas, from Cloud Computing to Web Security - interwoven with market-leading full-scale conferences produced by SYS-CON Events. The company's internationally recognized brands include among others Cloud Expo® (@CloudExpo), Big Data Expo® (@BigDataExpo), DevOps Summit (@DevOpsSummit), @ThingsExpo® (@ThingsExpo), Containers Expo (@ContainersExpo) and Microservices Expo (@MicroservicesE).
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