TCS Innovation Forum 2012 - Big Data Whodini
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Whodini is developing context-aware computing technologies that will allow users to view and interact with the world through various information services mediated by context. Key innovations will include context-mediated transactions against persistent user-generated content. Whodini's technologies are organized along the temporal dimension and will provide maturity models for information management from operational visibility to exploitation and innovation.
TCS Innovation Forum 2012 - Big Data Whodini
- 1. Finding and Being Found, Contextually A Big Data Application Pankaj Mehra CTO, Whodini
- 2. CONTEXT-AWARE COMPUTING My world, abstracted and orchestrated my way CONTEXTUALIZATION Emotions & SERVICES will enable Outcomes individuals to VIEW and ACT upon their world through an Web of Contracts & people context Commitment ARRAY OF INFORMATION SERVICES content The key innovation will be CONTEXT-MEDIATED Web of Time & TRANSACTIONS against knowledge Place persistent CONTENT, which will be everything that the Web of things user owns Context-Aware Computing: Beyond Search and Location-Based Services, IEEE ComputingNow theme, Aug 2010 And special issue of Internet Computing in Feb-Mar 2012
- 3. “large context” Organized along the temporal dimension Web of Web of Knowledge People Project Professional Task Network Collaboration Meeting competency Customer service Loyalty Product Event (team / brand / party) ownership Vacation Trip Large family parenting Small Context Time & Context Social Web of Contracts & Location Emotions & network Things commitments Outcomes interests From “The Ecosystem of Context: How to Play” (Mehra) at Silicon Valley Code Camp 2011
- 4. Maturity Model for Information Management Operational Visibility Integration Access, Scale, Exploitation, Protection Optimization Innovation Functional Content Communication Mobility Context Agency Collaboration Behavioral Hunting & Cultivation & Connecting Affordances: Automation Gathering settlements & sharing work fun Experiential Ignorance Chance Dearth - Abundance – Immersion - encounters - seeking pervasive use being addiction INFORMATION INFORMATION PLANNED FORAGING SEEKING SERENDIPITY
- 6. Knowledge workers: All US>Co. w/500 employees>Co. w/10k employees
- 7. Could not find an expert in a 320,000 people company
- 9. Ashok Rao, Chairman & CEO Todd Liebman, SVP (Sales) & CMO -Serial entrepreneur - 4 successful -Serial entrepreneur - 3 successful startups (all revenues $100M+) startups -Founder & CEO – Midcom -Founder & CEO, Ze-VO Products Communications, IPO July 1995 -CEO IntelliCheck (AMEX:IDN) -CEO – Trexcom- acquired by L-3 in 2000 -Founder & CEO, Quick Kiosk (acquired -President – Enron North America, 1996- by NCR) 1997 -SVP - Sales, Trexcom Ani Chaudhuri, President & COO Pankaj Mehra, SVP & CTO -Serial entrepreneur - 2 successful -Distinguished Technologist - HP Labs startups -expertise in “sense-making” -Cofounder Opelin - 5M users in 25 -Tech. Staff Tandem, countries - acquired by HP in 2007 -Faculty, IIT Delhi and UC Santa Cruz -Cofounder eCircle - acquired by Reliance in 2003 -Scientist, NASA -Director, WW Web Services -Ph.D. in Artificial Intelligence Initiatives, HP, 2007-2009
- 10. A Big Data Manifesto? Here is the NLP version • Skilled human annotation slow and expensive. • Experts disagree on quality (64%). • Use available large-scale data rather than hoping for unavailable labeled data. • Human language has already evolved words for important concepts. • Simple representations • Nonparametric models Alon Halevy (‘09)
- 11. An average US employee writes 600k words in emails annually, or more than half the Harry Potter series
- 12. ‘’Analyzing one's personal email collection is a lot like looking in a mirror.’’ Hansen, Shneiderman & Smith, 2010
- 16. Whodini generates 210M data points per person per year
- 17. 7 19 22
Editor's Notes
- #3: Users increasingly sense and control their world looking through a lens of information.They want to impose their view on the universe of services, communication & collaboration, payments and agreements, and even the realm of controllable physical objects, media, and entertainment services.
- #5: Enterprise focus (operational) is on aligning IT with the business: evolving from iT (lot of technology for managing relatively little information) to It (relatively little technology for managing lots of information). Evolving toward viewing information as an asset because of improving ROIIT focus (functional): IT’s rule is to support people and processes with information infrastructure. filesystems and databases, ECM and KM, Search and delivery, (all still doing your own work) … to AgencyKnowledge worker focus (behavioral): Looking to eliminate drudgeryConsumer focus (experiential)Operational – Cost and risk associated with information as a resourceFunctional – Features and functionality of information systemsBehavioral – Sophistication and grace in working with informationExperiential – Creativity and value creation, insights
- #7: The heart of what knowledge workers do on the job is collaborateThey interact to build products, complete projects, serve customers, engage with partnersGrowing % of workforce. Wage premium 55-75%Variance is high: 9x performance rangeIn US, 47% (CAGR 4.2%) do Collaboration (vs Production and Transaction (routinized))