December 11 - 14, 2018
College of Engineering Guindy (CEG)
Anna University, Chennai, INDIA
The ICIIT 2018 Industry Day is a unique networking event where entrepreneurs and scientists can discuss the future of Data Science & Analytics and its impact on industry and society. This event is going to be held on December 14, 2018.
Companies known in the area of Data Sciences will give a talk about their companies’ operation, advancement and strategies with regard to Data Science & Analytics. These companies are mainly known and giant companies in Data Sciences presenting a diverse range of topics from e-commerce to social network, cloud computing, gaming applications and etc. Other speakers come from Data Analytics start-ups, who will share their experiences with commercializing Data Science technologies, the problems they have had to overcome, and the elements of success and failure.
ICIIT 2018 Industry Day will also host two panel sessions involving researchers, engineers, and business executives in discussion with each other and the audience. The first panel focuses on how to start and successfully run a Data Analytics company. This will be followed by a second panel discussing the future of Data Science & Analytics and its impact on society, both positive and negative.
Industry Day event will connect the advancement in Data Science & Analytics in research labs to the application in the real world, will discuss the challenges, success stories and impact of today’s technology and will provide insights into future society.
To be Announced
To be Announced
Machine Learning @ Amazon
In this talk, I will first provide an overview of key problem areas where we are applying Machine Learning (ML) techniques within Amazon such as product demand forecasting, product search, and information extraction from reviews, and associated technical challenges. I will then talk about three specific applications where we use a variety of methods to learn semantically rich representations of data: question answering where we use deep learning techniques, product size recommendations where we use probabilistic models, and fake reviews detection where we use tensor factorization algorithms.
Rajeev Rastogi is a Director of Machine Learning at Amazon where he is developing ML platforms and applications for the e-commerce domain. Previously, he was Vice President of Yahoo! Labs Bangalore and the founding Director of the Bell Labs Research Center in Bangalore, India. Rajeev is an ACM Fellow and a Bell Labs Fellow. He is active in the fields of databases, data mining, and networking, and has served on the program committees of several conferences in these areas. He currently serves on the editorial board of the CACM, and has been an Associate editor for IEEE Transactions on Knowledge and Data Engineering in the past. He has published over 125 papers, and holds over 50 patents. Rajeev received his B.Tech degree from IIT Bombay, and a PhD degree in Computer Science from the University of Texas, Austin.
To be Announced
Analytics and Decision Sciences for Ecommerce - An overview and use cases on pricing and selection
The Analytics and Decision Sciences organisation at Flipkart has the charter of leveraging science to enable robust data-driven decision-making. Key focus areas of this organisation are business growth and continuously improving customer experience. My talk will present the overall landscape of the Analytics organisation and the areas we cover.
Two key expectations of any consumer from an ecommerce platform are –
Following the overview, I will present use cases related to applications of statistics, machine learning and optimisation in addressing these two expectations of our consumers.
Dr. Ravi Vijayaraghavan is a Vice President at Flipkart where he leads the Analytics and Decision Sciences organization. This team is responsible for leveraging data, analytics and science to drive decision-making and business impact across all areas of Flipkart.
Prior to joining Flipkart, Ravi was the Chief Data Scientist and Global Head of the Analytics and Data Sciences Organization at 7.ai – a silicon-valley based company that builds machine learning and artificial intelligence driven software products for customer service. At 7.ai, Ravi and his team were responsible for invention, development, implementation, and optimization of all analytics and machine learning driven solutions that form the core of 7's product offerings. These products and solutions leverage machine learning to enable a more intuitive customer care experience for consumers through online and offline channels.
Before joining 7, Ravi held a variety of leadership roles at Ford Motor Company. His contributions were in the applications of computing and analytics to the design and optimization of business and engineering systems. He was the recipient of a Henry Ford Technology Award – the highest technical recognition at Ford. Ravi was also a vice president and part of the executive leadership team of Mu Sigma Inc., a Chicago/Bangalore based pure-play analytical services company.
Ravi has 25+ patent filings, many refereed publications and has presented as invited/ keynote speaker at several international conferences. Ravi holds a Bachelor's degree in Engineering from the Indian Institute of Technology - Madras, a PhD from University of Wisconsin-Madison, and an MBA from the Ross School of Business, University of Michigan – Ann Arbor.
|Details||Indian Nationals||Foreign Nationals|
|Delegates||Rs 4500||USD 100|