Qubole

Where


700 Bellevue Way NE Floor 22 Bellevue, WA 98004

When

Wednesday, October 10, 2018
3:00 PM PDT

 

Interested?

Register Here

Seats are limited - so register today!


ABOUT THIS EVENT

Big data is changing the way manufacturing businesses operate, helping them optimize operations with everything from supply chain optimization, ensuring safety, and even predictive maintenance. Most data-driven companies are leveraging best practices of cloud and automated data platforms to transform their business quickly and cost effectively. Join us on Wednesday, October 10th to gain hands-on experience leveraging Qubole’s Big Data platform on Azure to tackle a real-world manufacturing challenge using big data. During this workshop, we will be diving deep into one particular big data opportunity: how to use IoT and machine learning to predict when best to perform maintenance on equipment.


WORKSHOP CHALLENGE

Manufacturing companies have access to rich IoT datasets, but often fail to take full advantage of the operational insights that can be derived from them. Many manufacturing companies are finding it challenging to optimize maintenance schedules for their equipment. During this workshop, attendees will get hands-on experience leveraging Qubole’s big data platform on Azure and cutting-edge machine learning algorithms utilizing IoT data to identify the optimal time window to perform maintenance on equipment.


KEY TAKEAWAYS:

Learn how leveraging a cloud-based architecture and services can increase the velocity of deploying advanced analytics for optimizing operations:

  • Experience the full analytics lifecycle
  • Ingesting a data set
  • Preparing and transforming a data set for modeling
  • Training a machine learning model on a dataset
  • Gaining insight from the data
  • Leverage the model for real-time value
 

Agenda

AGENDA

2:30 PM - 3:00 PM     Registration / Check-in
3:00 PM - 3:30 PM Workshop Begins: Introductions & Workshop Overview
3:30 PM - 4:30 PM   Workshop Setup presented by Solution Architect
4:30 PM - 5:00 PM Q&A, Recap, and Upload Materials on Github

SPEAKERS/PARTNERS SECTION

 

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In Partnership with: 

 

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