KM, which has evolved over the past several years, stresses the importance of using KM systems to enhance knowledge production in organizations, and not just knowledge sharing or integration. Thus, KM can impact the quality of problem solving in business and can also lower risk and improve innovation along the way. It is a tool for creating quality control systems for knowledge and innovation in organizations. This workshop will show you how KM can help: This workshop will show you how KM can help:

Agenda

11:30 - 13:00

at Juniper Moderator: Jagdish Mutharia, Fellow and Director(IT), TERI Panelists: Arnab Mukherjee, Knowledge Manager, Sattva N J P Silohu Rao, General Manager, NeGD Sachin Sharma*, Director-KM, Barclays Inc Ritu Grover, Associate Director, Knowledge Management, Khaitan and Co Kavi Mahesh, Director, IIIT Darwad, Karnataka

Big Data has become ubiquitous in modern society. It challenges state-of-the-art data acquisition, computation, and analysis methods. A lot of focus has been placed on the application of Big Data methods and less on the theoretical underpinning of the field.

The recent availability of data administrative records, mobile devices, sensors, and many private sources, as well as new processing and analytical techniques, can potentially transform the practice of science. In the social-science context, the new data can potentially offer policymakers information that is much more current, granular, and richer in environmental information than data produced by statistical agencies from surveys. New research opportunities, however, are accompanied by challenges associated with using the new data that is no longer generated and disseminated by statistical agencies, but can be harvested from many individual, public, and some private actions.

Nonetheless, important scholarly work has been done that uses Big Data in a way that is valuable to policymakers—in areas as varied as finance, labour, education, science, innovation, transportation, and development.
Further in recent years Data analytics and Artificial intelligence (AI) brings an outlook to understand and solve the framework for good agreed in 2015 by 193 countries: the United Nations Sustainable Development Goals (SDGs).

In this workshop a group of experts will discuss on how big data analytics and AI can help achieve the 2030 Sustainable Development Goals (SDGs).

Agenda

11:45 - 13:30

at Juniper Chair: Shantanu Ganguly, Fellow, TERI Co-Chair: Raj Kumar Bhardwaj, Librarian, St Stephen’s College Keynote Speakers: Atsuyuki Morishima, Faculty of Library, Information and Media Science, Center for Artificial Intelligence Research, University of Tsukuba Desiraju Padma, Scientist G, Centre for Artificial Intelligence and Robotics, DRDO, Govt of India Prakash Anbwani, Head, Engineering-Smart Mechanics and Robotics Lab, TCS Sudip Sanyal, Professor, BML Munjal University, Haryana

The explosion of social media—in the form of user generated content on blogs, microblogs (Twitter), discussion forums, product reviews, and multimedia sharing sites—presents many new opportunities and challenges to both producers and consumers of information. For producers, this user generated content provides a rich source of implicit consumer feedback. Tracking the pulse of the ever expanding social media outlets enables companies to discern what consumers are saying about their products, which provides useful insights on how to improve and market products better. For consumers, the plethora of information and opinions, from diverse sources, helps them tap into the wisdom of crowds, which aids in making more informed decisions. Though a vast quantity of information is available, the consequent challenge is to be able to analyse the large volumes of user generated content and the implicit (or explicit) links between users, in order to glean meaningful insights therein.



The workshop will address interesting questions related to blogs, Twitter, and other social media platforms, including: • Given the massive amount of user-generated content on the Web, how can we identify the subset of content (blogs, forums, and so on) that discuss not only a specific entity, but higher-level concepts as well that are in some way relevant to the product/brand/entity of interest? • Having identified this subset of relevant content, how do we identify the most authoritative or influential authors in this space? • How do we detect and characterize the specific sentiment expressed about an entity (for example, product) mentioned in a blog or forum? • How do we tease apart the emerging topics of discussion from the constant chatter in the blogosphere and other social media?

Agenda

13:45 - 15:15

at Tamarind Chair: Prasad Sanyal, Chief Content Officer, Hindustan Times Invited Speakers: Jatin Modi, CEO, Frog Ideas Purva Grover, Researcher, School of Management, Indian Institute of Technology, Delhi Stevanus Wisnu Wijaya, Chairperson, Software Engg, University of Prasetiya Mulya, Indonesia Shilpi Jha, Associate Professor, Bennett University