Deep Learning with TensorFlow in IoT World for Predictive Maintenance, Chicago, IL, USA

Document created by maprcommunity Employee on Sep 27, 2017Last modified by slimbaltagi on Oct 1, 2017
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Date:  Thursday, October 12, 2017 
Location:  311 South Wacker Drive, Chicago, IL
Time:  5:30pm
Registration Link:  Deep Learning with TensorFlow in IoT World for Predictive Maintenance - Chicago Advanced Analytics Meetup (Chicago, IL)… 




As MapR continues to innovate its Converged Data Platform and how it integrates a globally distributed elastic data plane that not only supports distributed file processing but also strongly consistent geo-distributed database applications with high performance NoSQL document DB, and real-time event streaming capabilities in a single cluster, MapR will provide a technical deep dive into these innovations.  In this talk, we'll look at how organizations can leverage IoT and bring compelling insight into their operations to optimize efficiencies or predict behavior with actionable results with MapR Converged Platform and Deep Learning Models.  We will evaluate and demonstrate a workflow for an IoT predictive maintenance scenario that leverages real-time streaming events and predict behavior using TensorFlow, Spark and Python. We will showcase an entire data pipeline build for data transformation, model training/testing, and data visualization of results.



Learn more about Deep Learning with TensorFlow through a real-world IoT predictive maintenance scenario from Justin BrandenburgData Scientist at MapR Technologies





Apache Spark

MapR Orbit Cloud Suite