• Share
  • Email
  • Embed
  • Like
  • Save
  • Private Content
NASSCOM Engineering Summit 2013: The Future Planet is Smarter - Dr. Ramesh Gopinath, IBM Research - India
 

NASSCOM Engineering Summit 2013: The Future Planet is Smarter - Dr. Ramesh Gopinath, IBM Research - India

on

  • 576 views

Future technology trends ...

Future technology trends

Disruptive technologies: New technologies that would impact the world

Dr. Ramesh Gopinath, , Director, IBM Research – India (IRL); Chief Technologist, I/SA

Statistics

Views

Total Views
576
Views on SlideShare
576
Embed Views
0

Actions

Likes
0
Downloads
44
Comments
0

0 Embeds 0

No embeds

Accessibility

Categories

Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment
  • Technology is being used in education in several different ways. The most talked about is the advent of Massive Open Online Courses or MOOC and they are growing phenomenally. Several other startups trying for a variety of uses of technology in education are able to secure VC funding some in GMU, some in major markets. This use of technology leads to new sources of learning interaction data sources which are growing at a very rapid rate. Consider, for example, the MOOC Coursera. In just about an year, they have reached to close to 2M learners spread across close to 200 countries. The kind of learning data they capture is around the interaction of the learner with the content, social interactions of the learner with his/her peers and educators and so on…The other example could be that of a Learning Management System (LMS): Desire2Learn. They have more than 8M learners spread around more than 20 countries and they capture data around the learning processes: For example, what are the content consumption patterns, what are the performances on formative and summative assessments and so on. They are also growing quite rapidly and have secured a VC investment of $80M to expand in the growth market countries.This whole technology-driven learning can also be used to reduce some of the waste in the education sector. And there are several sources of waste.
  • Technology is being used in education in several different ways. The most talked about is the advent of Massive Open Online Courses or MOOC and they are growing phenomenally. Several other startups trying for a variety of uses of technology in education are able to secure VC funding some in GMU, some in major markets. This use of technology leads to new sources of learning interaction data sources which are growing at a very rapid rate. Consider, for example, the MOOC Coursera. In just about an year, they have reached to close to 2M learners spread across close to 200 countries. The kind of learning data they capture is around the interaction of the learner with the content, social interactions of the learner with his/her peers and educators and so on…The other example could be that of a Learning Management System (LMS): Desire2Learn. They have more than 8M learners spread around more than 20 countries and they capture data around the learning processes: For example, what are the content consumption patterns, what are the performances on formative and summative assessments and so on. They are also growing quite rapidly and have secured a VC investment of $80M to expand in the growth market countries.This whole technology-driven learning can also be used to reduce some of the waste in the education sector. And there are several sources of waste.
  • Main Point: At the core of what makes Watson different are three powerful technologies - natural language, hypothesis generation, and evidence based learning. But Watson is more than the sum of its individual parts. Watson is about bringing these capabilities together in a way that’s never been done before resulting in a fundamental change in the way businesses look at quickly solving problemsSolutions that learn with each iterationCapable of navigating human communicationDynamically evaluating hypothesis to questions askedResponses optimized based on relevant dataIngesting and analyzing Big DataDiscovering new patterns and insights in secondsFurther speaking points:. Looking at these one by one, understanding natural language and the way we speak breaks down the communication barrier that has stood in the way between people and their machines for so long. Hypothesis generation bypasses the historic deterministic way that computers function and recognizes that there are various probabilities of various outcomes rather than a single definitive ‘right’ response. And adaptation and learning helps Watson continuously improve in the same way that humans learn….it keeps track of which of its selections were selected by users and which responses got positive feedback thus improving future response generationAdditional information: The result is a machine that functions along side of us as an assistant rather than something we wrestle with to get an adequate outcome
  • Main point: Watson use cases can be broadly broken into three classes: Ask, Discover, and Decide. Users can ASK Watson direct questions in natural language the same way they ask friends or colleagues questions. This is in contrast to reducing an inquiry to a set of keywords and receiving a set of links to sources where their answers may (or may not) lie. People who saw Watson’s victory on the quiz show Jeopardy! will be familiar with this simplest use case. Think of this as next generation chat. Second, users can DISCOVER new insights with Watson. Examples of this could be use of Watson as a research assistant such as a biotech investigator looking for the best way to treat a disease in a specific cohort of patients. Finally, users might use Watson to help them DECIDE on the best course of action. This would be for situations where users are looking for confidence-based recommendations for their next action when they have many options to chose from such as what course of treatment to prescribe to a patient or what investment choice to make.
  • Main point: Watson has already changed industries around the world by expanding the expectations that tens of millions of people have about technology and its possibilities to help them live and work better. And as Watson is deployed in more and more industries it will continue to raise the bar for business technology. In many ways, the barriers that have for so long kept IT from meeting its full potential for helping us live and work better are falling. The only barriers are our own imaginations. How can Watson help you?Further speaking points:. Moving beyond healthcare, the Watson team is exploring opportunities to help financial planners help their investment and retirement planning customers and help institutional traders make better decisions. The team is working with contact centers improve their call center and tech support services, improve enterprise knowledge management , and improve customer insight. And the team is working with governments to improve public safety, public information sharing and security. Additional information: IBM Watson has the capabilities to address grand business and societal challenges
  • 270B - Contact Babel US Contact center decision makers guide 2010; GCC Global Call Center Report 2007, BenchmarkPortal Industry Benchmark Reports 2004-2011, IBM analysis1 in 2 - Aberdeen Group. The Contact Center in a Profit-centric Service Organization May 201161% - Aberdeen Group. The Contact Center in a Profit-centric Service Organization May 20114.6% - Harvard Business Review. http://online.wsj.com/article/PR-CO-20130415-906286.html

NASSCOM Engineering Summit 2013: The Future Planet is Smarter - Dr. Ramesh Gopinath, IBM Research - India NASSCOM Engineering Summit 2013: The Future Planet is Smarter - Dr. Ramesh Gopinath, IBM Research - India Presentation Transcript