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Wharton: Successful Applications of Customer Analytics, May 9-10, Philadelphia


The WCAI annual conference, Successful Applications of Customer Analytics is dedicated to real-world applications that balance high-level rigor and business know-how, and to elevating the role of analytics in an organization strategic decision-making.



Wharton: Successful Applications of Customer Analytics

About the conference
The WCAI annual conference, Successful Applications of Customer Analytics is dedicated to real-world applications that exemplify a balance of high-level rigor and business know-how, as well as elevating the role of analytics in an organization's strategic decision-making.

Register Today!

WCAI will host not only the full day event on May 10th, but also technical workshops the day before, on May 9th. This year, there are two workshops from 2:00 p.m. – 5;00 p.m. for attendees:

1. Intro to Deep Learning and Sentiment Analysis

Instructor: Vikram Madan, WG’15, Sr. Product Manager, Amazon Web Services

Workshop Overview:
Deep learning plays a significant role in sentiment analysis, where algorithms can be trained to quickly learn and detect patterns in large volumes of data. In this workshop, we will start by providing an overview on deep learning and on the Apache MXNet deep learning framework. We will next discuss how to address sentiment analysis use cases with deep learning. We will finish by walking step-by-step through a demonstration on how to build a Long Short-term Memory (LSTM) model to perform sentiment analysis on the IMDB dataset, which includes 50,000 movie reviews.

2. Practical Recommendation Systems

Instructor: John Fox Ph.D., WG’13, Analytics Expert, Journey Analytics, McKinsey and Pascal Notin, Analytics Expert, Journey AnalyticsMcKinsey

Workshop Overview:
In this workshop, we will walk you through the various types of recommendation systems and discuss practical aspects of recommenders. By the end of the workshop, you will have enough knowledge to build a basic recommender and will be aware of the practical aspects of designing, deploying and maintaining a recommender. The workshop is approximately 50% theory and 50% hands-on.

Prerequisites:

  • Programming knowledge and basics of Python will be helpful to follow the hands-on part, but not required for the workshop
  • No machine learning knowledge is assumed
  • Basics of Linear Algebra will be good-to-have

Register Today!

Speakers
Successful Applications of Customer Analytics boasts practical, real-world examples of customer analytics from leading industry practitioners. This year we'll hear from*:

  • Deborah Wahl (Opening Keynote), CMO, Cadillac
  • Victor Cho (Closing Keynote), CEO, Evite
  • Sajjad Jaffer, Founder and Managing Partner, Two Six Capital
  • Salman Mukhtar, Director,Microsoft
  • Arun Shastri, Principal, ZS Associates

*Please note that this list is incomplete and WCAI will be announcing more speakers in the coming weeks.

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