IoT-Enabled Predictive Maintenance

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IoT is reshaping the manufacturing and industrial processes, effectively changing the paradigm from one of repair and replace to more of predict and prevent.

Using data streaming from connected equipment and machinery, organizations can now monitor the health of their assets and effectively predict when and how an asset might fail. However, without the right data management strategy and tools, investments in IoT can yield limited results.

Join Cloudera and Tata Consultancy Services (TCS) for a joint webinar to learn more about how organizations are using advanced analytics and machine learning to drive IoT enabled predictive maintenance.

As part of this webinar you can learn more about:

  • Scalable real-time architectures for managing data from IoT
  • TCS - Cloudera joint IoT solution based on Sensor Data Analytics Framework (SDAF)
  • Real world customer case studies highlighting IoT enabled predictive maintenance and
  • A demo on predictive maintenance solution in an industrial setting

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Date: July 27, 2017
Time: 10am PT / 1pm ET

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Add to calendar 2017-07-27 10:00:00 2017-07-27 11:00:00 America/Los_Angeles IoT-Enabled Predictive Maintenance Join Cloudera and Tata Consultancy Services (TCS) for a joint webinar to learn more about how organizations are using advanced analytics and machine learning to drive IoT enabled predictive maintenance. Online Webinar






Featured speakers

Vijay Raja

Solutions Marketing Lead, IoT - Cloudera

Vijay Raja is the Solutions Marketing Lead for IoT at Cloudera, and is responsible for rolling out new and innovative solutions and use cases around IoT. As part of his role Vijay works with some of our leading customers and partners to promote and evangelize our IoT offerings.

Chellury (Ram) Sastry

IoT Practice Lead - Tata Consultancy Services

Ram Sastry leads the IoT and Data Science practice within the Digital Enterprise group at TCS. In this role, Ram is responsible for developing IoT, data science, and machine learning related products and services to support customers across diverse verticals. Ram is also the use case committee co-chair for the Industrial Internet of Things (IIoT) consortium.