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.
Tata Consultancy Services, India
Designing Automated Decision Making Systems – today, tomorrow and the day after
Recent advances in AI technologies backed by the success of Siri, Facebook, Google and Alexa have raised the expectations of Enterprises to automate several routine tasks that involved dealing with unstructured information from Video, Speech and Text data and heretofore were exclusively dealt with by human agents. While there is indeed enough scope to employ AI technologies in conjunction with Data Analytics, designing such systems need to address many more issues other than the accuracies and performances of the underlying analytics algorithms. Other than addressing increasing concerns about privacy and security for such systems, ensuring learnability, trustability and explainability are some of the crucial questions that are increasingly coming up. This talk will discuss about these concerns and some attempts that are being taken to ensure order the madness.
Dr. Lipika Dey is a Principal Scientist at Tata Consultancy Services, India. She leads the research initiatives for Analytics and Insight Business unit. Her research interests are in the areas of Natural Language Processing, Text and Data Analytics, Machine Learning and Semantic Search. Lipika did her Integrated M.Sc. in Mathematics, M.Tech in Computer Science and Data Processing and a Ph.D. in Computer Science and Engineering - all from IIT Kharagpur, India. Prior to joining TCS in 2007, she was a faculty at the Department of Mathematics at IIT Delhi, India from 1995 to 2007. She was conferred the Distinguished Scientist award in TCS in the year 2010. She has several publications and patents to her name.
Data Sciences in the Cloud
With growing awareness of the importance of Data Sciences, the field is getting more and more sophisticated. We now regularly process larger amounts of data and use more complex algorithms. This new landscape comes with its own set of challenges: it requires large-scale infrastructure, robust multi-level security, and more sophisticated multi-feature algorithms to process the data. Cloud provides powerful tools to tackle all of these challenges. In this talk we will see how Data Science and Cloud work together with each other to help you manage your big data and convert it into meaningful insights at large scale.
Amruta Joshi heads Google's Strategic Cloud Engineering efforts for Japan, Asia, and Pacific regions. Her team is responsible for architecting, developing, and deploying Google’s Cloud products for most strategic clients in the region. Amruta has a Masters in Computer Science from Stanford University and a PhD from UCLA. She serves as a program committee member and reviewer at top tier international computer science conferences including ACM VLDB, ACM WWW, IEEE ICDE, and ACM SIGKDD. Earlier in her career, Amruta has worked in various leadership roles in product management, partnerships, research, and software development.
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|