Causal Analytics in Retail and Telco

Jul 2017

24 Mon

25 Tue

26 Wed

27 Thu 08:15 AM – 10:00 PM IST

28 Fri 08:15 AM – 06:25 PM IST

29 Sat

30 Sun

MLR Convention Centre, Whitefield, Bengaluru,

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Causal Analytics in Retail and Telco

Submitted Apr 28, 2017

Section: Crisp talk for data engineering track Technical level: Intermediate

In this talk, I will discuss causal analytics using machine learning in the retail and telco domains. This talk should provide a brief overview of the value machine learning can provide in these domains along with the associated challenges and opportunities.

Outline

The key aspects of the talk are:

Introduction to the need for causal analytics in retail and telco settings: identification and explanation of anomalies
Discussion on the challenges and opportunities
Using external data for additional signals in the retail setting
Challenges in automating causal relationships only using observational data
Overview of possible approaches and expected outcomes

Speaker bio

I am currently working at IBM India as an Artificial Intelligence/Machine Learning expert. My Ph.D. thesis focuses on using machine learning and computer vision techniques to solve challenges in face recognition by improving the computation and combination of robust representations. I have had the opportunity to be a part of crafting a machine learning based solution for real world use cases in these domains. This talk will provide a brief overview of my experience and perspective on some of the key aspects of applied causal analytics.