The session has three individual sessions, then a panel discussion of the three speakers.
Speaker 1 - Sir Tim Berners-Lee
- The web was originally was supposed to be about a collaborative space. Social business is a way of getting there.
- Cerf developed IP in the late 1960s. In the late 80s-early 90s, Tim was annoyed that there was no level of abstraction on the documents. He just wanted to see a web of documents, so wrote HTTP.
- The next level of abstraction - "linked data" (the semantic web). Allows the computer to understand the data - and away from documents the computer can't understand.
- ... eg., a calendar entry points to an event - but we don't care about the data format. We want to see what's linked to this.
- ... eg., moving from one application to another - some data can move across.
- ... eg., looking at things on a time line. What changed, and when?
- Can build applications.
Speaker 2 - Manoj Saxena, GM IBM Watson Group
- In February 2011, Watson bet the two best winners on Jeopardy.
- Watson was a collection of different technologies from across the IBM portfolio - eg., 2800 processing cores, 16 TB RAM. Could process (read and understand) 200 million documents every 3 seconds.
- Next step - Watson for Healthcare (August 2011), and in 2012 ongoing the focus is on other industry sectors.
- some stunning statistics:
- ... 90% of the world's data was created in the last two years
- ... of this, 80% in unstructured. And so IT systems can't understand it.
- ... traditional systems only leverage 20% of available data
- Customers are calling IBM and seeking possibilities for applying Watson.
- How it works:
- ... Watson understands natural language and human speech - at scale.
- ... It generates and evaluates hypotheses based on evidence
- ... Adapts and learns from user selections and responses
- Gives rise to probabilistic computing - "Based on the evidence, I am 70% confident that ... "
- Healthcare:
- ... healthcare knowledge is doubling every 5 years.
- ... Doctors in the US spend less than 5 hours per month keeping up.
- ... Watson can help a doctor make a more accurate diagnosis.
- ... IBM is also working with WellPoint and CS to work on beating cancer.
- ... Expect that social collaboration will enhance Watson - based on discussions in communities (doctors and patients).
- Could also apply Watson to - contact center, financial services, government, and telecom.
Speaker 3 - Andy Miller, President and CEO of Polycom
- on the role of multimedia communication in collaboration and social business
- Andy wants to talk about a vision of communication and collaboration
- Video communications - traditionally been seen as a room-based mode, based around travel savings.
- ... Reality today - it's a productivity tool. It's not room based.
- Polycom's vision - how to make video collaboration ubiquitous.
- ... Polycom today announced cloud-based delivery of video capabilities
- Some examples:
- ... 8 of the top 10 hospitals are using Polycom video solutions to speed diagnosis and save lives. Eg., remote diagnosis of a patient - are they having a stroke? If so, what should they do about it?
- ... 4 of the top 5 colleges use Polycom to increase knowledge and extend reach.
- ... leading government agencies are enhancing citizen services and increasing public safety with Polycom
- ... 10 of the largest banks and 6 largest insurance companies, use Polycom to save costs and speed the flow of information. Eg., kiosks in a retail branch for talking to a subject matter expert in another location.
- ... Manufacturing ... improving supply chain
- ... Entertainment ... reducing production times
- key trends in collaborative communications today:
- ... a generation raised on video - audio conference calls won't be enough for millenials.
- ... the proliferation of mobile devices - eg., 64 million tablets today, expected to grow to 320 million by 2015 (90% will be video enabled)
- ... readiness of the network - 3G, 4G, and WiFi
- ... social connectedness - 800 million users on Facebook
- ... cloud delivery - $41 billion today, growing to $241 billion by 2020. Customers want video as a service.
Panel Discussion - Tim, Manoj, and Andy
Q1. To Tim - what are the problems and pitfalls we will experience on the way to the semantic web?
- (Tim) It depends on the Internet working - neutrality and openness is really important.
Q2. To Manoj - what kind of changes are going to take place in the lives and role of the knowledge worker as AI and the semantic web become more pervasive?
- (Manoj) It will create growth opportunities from a career perspective. Knowledge workers will learn new skills and capabilities, with new opportunities. People can engage around driving outcomes.
- ... It will also put new demands on people. How do you see a business as processes and information models? Also - how do you understand the technology?
- ... Have to step up and skill up.
Q3. To Manoj - will the line between IT and business blur?
- (Manoj) It's already happening - among CIOs (with business training) and architects.
- ... Anyone who can drive a reduction in cycle time will be very valuable.
Q4. To Andy - will we see a generational divide between digital natives and immigrants?
- (Andy) There is a divide already today, eg., email and conference calls, vs. social networking and video. Polycom is working to bridge the chasm.
Q5. To Manoj - you talked a lot about healthcare. What other industries will be impacted by Watson?
- (Manoj) It's a hot discussion. There are examples all over the place.
- ... In terms of the strategy - looking at information intensive industries, and the liquidity of information. We are going about it in a systematic way.
Q6. To Tim - what are some concrete steps for getting business value from the semantic web now?
- (Tim) Get people to understand the technology, and what it can do.
- ... Join the Web Consortium group, so you can learn faster and be part of the transformation. Help us with building the new standards.
Q7. To Tim - looks like there is an HR component on this?
- (Tim) And training - take 20 people and assign them time to look at what's going on. To learn, to see what can be done. Let them build some system.
Q8. To Andy - how do organizations move the needle on video communications now?
- (Andy) Polycom helps organizations use the current tools in place - Sametime, Connections - and bring video into those. It's not rip-and-replace.
- ... Secondly, understand the supply chain requirements. You will need to work across company boundaries. Just having things inside the organization is no longer enough.
Q9. To Manoj - what do organizations do now?
- (Manoj) Three things:
- ... educate - see what it can do. Look around. Share this with your team.
- ... enable - start small. Start implementing with 5-7 people.
- ... encourage - get some results, and start talking about what's happening. (Eg., Exemplar stories from User Adoption Strategies.)
Q10. To Manoj - what kind of investments will be needed?
- (Manoj) We work with customers at two levels. A tactical track - for delivering value within months. Also a strategic track - scoping up projects that align with strategic.
- ... Investment - money for training, and money for pilots.
Q11. To Andy - what's the level of investment needed?
- (Andy) You need the infrastructure - whether it's call control, video, or social. Once the infrastructure is there, you can leverage off that.
- ... Eg., mobility - use whatever tablet you have.
Q12. To Tim - we have limited resources, lots of competing priorities, why is semantic web so important?
- (Tim) keep your existing systems, and focus on extending them. Because you have locked data today, you are limiting organizational value. You need to be able to link them.
- ... When you do linked data, you have greater awareness of problems and opportunities.
- ... In the medium term, you can drive discontinuous change. The value from being first - not being left behind.
Q13. To Tim - what about the cultural changes in organization? How do we deal with this?
- (Tim) There's the boring stuff, "not invented here." Some people hug their data.
- ... The other question - how do we affect culture? Could we understand other people better from using AI and semantic data?
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