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Technological Convergence*

Technological Convergence in the IT Industry in India - The Case Study of a Start-up Sanjeev Sanghi Professor, Applied Mechanics Indian Institute of Technology Delhi. Technological Convergence*. Modern presence of a vast array of different types of technology to perform similar tasks

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Technological Convergence*

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  1. Technological Convergence in the IT Industry in India -The Case Study of a Start-upSanjeev SanghiProfessor, Applied MechanicsIndian Institute of Technology Delhi

  2. Technological Convergence* • Modern presence of a vast array of different types of technology to perform similar tasks • Synergistic combination of voice (and telephony features), data (and productivity applications) and video onto a single network • Resource sharing and interaction with each other to create new efficiencies * from Wikipedia

  3. Single platform • User wants all applications on a single device • Converged picture • Internet • Mobile • TV • DVD/CD/Video/Audio • Ipod

  4. Apple's iPhone

  5. Goal of a start-up • Making meaning • Provide new and compelling technology • New applications of existing technology which redefine user experience • Long lasting • Cutting edge technology as differentiator • Valuable to customers • Unique value proposition for customers

  6. Example • Variable photo recognition technology • Recognises photos like human brain • Pick up this image even as part of a larger picture (with any orientation) • Similar Image search • Various business applications

  7. Case study of a startup from university environment • Concepts from Tensor Algebra (theory) • Applications in fields of audio and video: dynamic compression • Extracted key features from audio –video: extract concepts from documents • Personalized web search: complimentary to generic web search engines • “ I'm feeling lucky” from Google • Specific use to mobile search

  8. T6 Personalized search results Jaguar Jaguar SEARCH SEARCH Search Results Search Results Results from www.t6labs.com

  9. Technology Evolution • Feedback from users and funding agencies • Holistic picture of search: add regional language queries • Developed transliteration technology as most of the keyboards are English keyboards • Two technologies- Personalization and Transliteration

  10. Technology Evolution • Initial Platform: Web based • Diversification to Desktop • Type, search, email in local language using English keyboard • Technology Convergence • Port on Mobile platform • Much wider user base (India) • 160 million Mobiles • 19 million computers

  11. Convergence • Starting from an idea of Tensor Algebra • Emerged as mobile based multilingual query system • Adaptability to morph and leap into to a new space • Business Model • Accountable Ad synchronization system

  12. Search Platform T6 Contextual Advertisement Platform Content Aggregation Platform T6 Personalized Mobile Search T6 Smart Client (SMS/ GPRS) T6 Contextual Advertisement Platform ------------------ Auto selection from ad inventory Based on: Content requested/ being served, Location / Time, user query logs, context of search term and users personality Multilingual Query T6 Personalized Mobile Service Delivery Platform User specific results in queried language Mobile User Query processing T6 MobiSearch Carriers content Yellow pages Mobile Internet pages Other info services

  13. Challenges • Turn an idea into business opportunity • Building a team • Execution of ideas • Right FUNDING • Bootstrapping -- Take money from customers • Government funding / Angel funding • VC funding – many stages • seed stage • Early stage • Growth stage

  14. Recommendations • Global mentorship programme • Global incubation funding • Public Private Partnership

  15. ! Contact Sanjeev Sanghi Professor, Applied Mechanics I.I.T. Delhi, India sanghi@am.iitd.ernet.in

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