Qubole Hands-on Workshop: Using ML to Mine Insight from Consumer Product Review

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Attend the Workshop

Seats Are Limited - Sign Up Now

Details: 

When:  October 17, 2018: Workshop 2:30 - 5:00 PM ; Happy Hour 5:00 - 7:00 PM
Where: Workshop at Microsoft Corporation: 8800 Lyra Drive Suite 400 Columbus, OH 43240
       Happy Hour at Matt the Miller's Tavern: 1436 Gemini Place, Columbus, OH 43240 
 

About this Event:  

Big data is changing the way consumer-facing businesses operate, helping them with everything from inventory optimization, improving the customer experience, and even helping to detect fraud. Most data-driven companies are leveraging best practices of cloud and automated data platforms to transform their business quickly and cost effectively. Join us to gain hands-on experience leveraging a Big Data platform on Azure to tackle a real-world retail challenge using big data. During this workshop, we will be diving deep into one particular big data opportunity: how to determine the usefulness of customer product reviews.

Workshop Challenge:

Companies, particularly Retailers, have rich product reviews, but often fail to take full advantage of the internal and customer-facing insights that can be derived from them. Many retailers are finding it challenging to create an automated way to rate the helpfulness of a review and uncover valuable insights buried amongst thousands of reviews. During this workshop, attendees will get hands-on experience leveraging Qubole’s big data platform on Azure and a machine learning model utilizing Natural Language Processing (NLP) to identify the most useful customer reviews in real-time. Customer reviews can then be surfaced more quickly to other consumers. Retailers can also leverage similar techniques to derive additional business value from customer-produced reviews, such as:
  • Fake review fraud detection
  • Identifying positive product characteristics
  • Identify influencers
  • Uncover new feature attributes for a product to inform merchandising

Key Takeaways: 

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

2:30 PM - 2:40 PM
Microsoft Kickoff
2:40 PM - 2:50 PM About Qubole
2:50 PM - 3:00 PM  About Precocity
3:00 PM - 3:30 PM 
Big Data and Retail 
3:30 PM - 3:45 PM Participant Setup: Github Pull & Coffee Break
3:45 PM - 4:00 PM
Workshop Use Case - Business Problem
4:00 PM - 4:15 PM 
Workshop Architecture
4:15 PM - 4:45 PM Technical Tutorial
4:45 PM - 5:00 PM  Workshop Overview & Concepts Learned
5:00 PM - 7:00 PM  Happy Hour at Matt the Miller's Tavern

 

 



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The 'headline' class removes top margin on heading tags

This is a nested "row" inside of the left column. It's 5/6 width (col-sm-9) and can be adjusted the same as the larger columns (instructions above). You can turn this entire row off by toggling the "Left Column: Nested Row 2" variable to "Hide".

The 'headline' class removes top margin on heading tags

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