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© 2017

Applications of Cognitive Computing Systems and IBM Watson

8th IBM Collaborative Academia Research Exchange

  • Danish Contractor
  • Aaditya Telang

Benefits

  • Presents reports and methods that demonstrate the ease with which cognitive applications can be built using IBM Watson application program interfaces (APIs)

  • Includes application reports from two IBM Watson API-based competitions – Hackathon (24 hours) and a Challenge task (~3 months)

  • Features a selection of papers presented at I-CARE 2016 from the areas of “Theory and Cognitive Computing”, “Data Platforms and Systems,” and “Societal Applications”

Book

Table of contents

  1. Front Matter
    Pages i-vii
  2. Danish Contractor, Aaditya Telang
    Pages 1-5
  3. Research Papers

    1. Front Matter
      Pages 7-7
    2. Rahul Shivu Mahadev, Arvind Seshadri, Sriram Rajamani, Viraj Kumar
      Pages 9-18
    3. Nikita Jain, Achuth Kandikuntta, Deepak Jannarapu, Nallagatla Manikanta, Tella Tarun Kumar, Dhaval Patel
      Pages 19-26
    4. Anushka Chandrababu, Abhilasha Aswal, G. N. Srinivasa Prasanna
      Pages 27-35
    5. Shitala Prasad, Pankaj P. Singh
      Pages 37-45
    6. B. Akilesh, Tanya Marwah, Vineeth N Balasubramanian, Kumar Rajamani
      Pages 47-54
  4. Hackathon Applications

    1. Front Matter
      Pages 63-63
    2. Abhilash Kishore, Amisha Agarwal, Anisha Mascarenhas, Arjun Rao
      Pages 65-71
    3. Ravi Vats, Amogh Mannekote, Deepak D. Rao
      Pages 73-77
    4. Elson D’Souza, M. S. Eshwar, Aditya Kalyani, Sumit Khaitan
      Pages 79-82
  5. Watson Cognitive Challenge Applications

    1. Front Matter
      Pages 83-83
    2. S. K. Kolluru, Shreyans Shrimal, Sudharsan Krishnaswamy
      Pages 85-90
    3. Chandana Kotta, Shashank Motepalli, Tadepalli Sandeep
      Pages 91-94
  6. Conclusion

    1. Front Matter
      Pages 95-95
    2. Danish Contractor, Aaditya Telang
      Pages 97-98

About this book

Introduction

This book presents reports and methods that demonstrate the ease with which cognitive applications can be built using IBM Watson application program interfaces (APIs). It includes application reports from two IBM Watson API-based competitions – Hackathon (24 hours) and a Challenge task (~3 months). It also features a selection of papers presented at I-CARE 2016, the IBM Collaborative Academia Research Exchange event, from the areas of “Theory and Cognitive Computing”, “Data Platforms and Systems,” and “Societal Applications.” IBM has a long tradition of research collaboration with colleagues in academia, and I-CARE is an annual event initiated in 2009 to promote collaborative innovation and learning, and explore new ways of fostering a culture of innovation. I-CARE’s main goal is to “amalgamate” the thought leadership in Indian academia with that in industry, and foster a symbiotic environment for establishing a rich research culture in India.

The 8th edition of I-CARE presents a collection of thought-provoking ideas and novel Indian research projects related to three crucial areas: cognitive computing, systems and platforms that support large-scale data processing and practical systems that are designed for the public good.

Keywords

Hackathon Applictions Convex Model Databases Moksha Watson Cognitive Challenge Applications CognitiveCam

Editors and affiliations

  • Danish Contractor
    • 1
  • Aaditya Telang
    • 2
  1. 1.IBM Research IndiaNew DelhiIndia
  2. 2.IBM Research IndiaBangaloreIndia

About the editors

Danish Contractor is a research scientist at IBM Research India where he develops innovative research solutions with real-world applications using machine learning and natural language processing in the areas of education, tourism, social media & customer relationship management, information management & noisy data cleansing. He has over nine years of experience in various aspects of software development and research. He has published fifteen papers in top-ranked analytics conferences and has ten US patents for his work. Danish holds a B.E. (Computer Engineering) from the Netaji Subhas Institute of Technology, New Delhi, India and an M.Phil (Advanced Computer Science) from the University of Cambridge, United Kingdom.


Aditya Telang has been a researcher at IBM Research India’s Information & Analytics Department since 2011. He has worked in the area of spatio-temporal, social-media and data analytics over large datasets in domains ranging from banking to telco, and from social media to intelligence & law enforcement agencies. His expertise is primarily in the area of databases, data mining, ranking and analytics over large-scale data. Prior to joining IBM, he completed his PhD at the University of Texas at Arlington, USA and his master’s at the University of Buffalo (SUNY), New York, USA.

Bibliographic information

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