Seshadri Subbanna Presentation: Driving Collaborative Innovation with Clients in Globally Integrated...

© 2012 IBM CorporationCollaborative Innovation

Driving Collaborative InnovationDriving Collaborative Innovation with Clients in with Clients in Globally Integrated OrganizationsGlobally Integrated Organizations

Dr. Seshu Subbanna, DirectorInnovation and Technology EvaluationIBM Corporation

Collaborative Innovation


Dynamics: Innovators Must Evolve

Inter-disciplinary collaboration in the market and across the globe

1970s1970s 1980s1980s 1990s1990s 2000s2000s

Centrally FundedCentrally FundedJoint ProgramsJoint Programs

Research in the Research in the MarketplaceMarketplace

Collaborative Collaborative InnovationInnovation

CorporateCorporate Collaborative Work on Create business2010s2010s

CollaborativefundedfundedTechnologyTechnology

transfertransfer

TeamShared agenda

Effectiveness

clientproblems advantage for clients

Industry-focusedresearch

partnershipsEmerging markets

Collaborative Collaborative InnovationInnovation-- Going Global Going Global


IBM CanadaSoftware Lab

IBM Canada

Others

Western

UofT

Waterloo

UofO

Queen’s

McMaster

R&D Centre

Small & Medium Enterprises

Collaboration at Work – The Southern Ontario Smart Computing Innovation Platform

HPC & CloudInfrastructureUOIT


Innovations That Changed History

Nano MRI (2009)Nano MRI (2009)Nano MRI (2009)

First Petaflop Supercomputer (2008)First Petaflop First Petaflop Supercomputer (2008)Supercomputer (2008)

Cell (2005)Cell (2005)Cell (2005)

Blue Gene/L (2004)Blue Gene/L (2004)Blue Gene/L (2004)

Carbon Nanotubes (2003)Carbon Nanotubes (2003)Carbon Nanotubes (2003)

Copper Interconnect Wiring (1997)Copper Interconnect Wiring (1997)Copper Interconnect Wiring (1997)

Deep Blue (1997)Deep Blue (1997)Deep Blue (1997)

SiGe (1994)SiGe (1994)SiGe (1994)

High Temperature Superconductivity (1987)High Temperature Superconductivity (1987)High Temperature Superconductivity (1987)

Scanning Tunneling Microscope (1986)Scanning Tunneling Microscope (1986)Scanning Tunneling Microscope (1986)Relational Database (1970)Relational Database (1970)Relational Database (1970)

Fractals (1967)Fractals (1967)Fractals (1967)

One Transistor Memory Cell (1966)One Transistor Memory Cell (1966)One Transistor Memory Cell (1966)

RAMAC (1956)RAMAC (1956)RAMAC (1956)

Fortran (1957)Fortran (1957)Fortran (1957)

Speech Recognition (1971))Speech Recognition (1971))Speech Recognition (1971))

RISC (1980)RISC (1980)RISC (1980)

Watson (2011)Watson (2011)Watson (2011)


Continuous Innovation; Continuous Innovation; Skills Beyond The Skills Beyond The ““AHA!AHA!”” MomentMoment

Disk Drives – 50 Years of Scaling– If IBM had not continued to innovate in this field,– Today’s laptop would weigh ….?

NeverNever Undervalue Ongoing InnovationUndervalue Ongoing Innovation

x2– 250,000 Tons

© 2013 IBM Corporation7

Foundation for a Smarter Planet

8

Massive Multimedia is the biggest data wave of all

Source: IBM Market Insights based on composite sources

1990’s 2020’s

Video

Text

Exa

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Giga

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2000’s 2010’sStructured data

Audio

ImageMed

High

Low

Com

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Soph

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The True Value of Big Data is in Context

Raw dataFeature extraction metadata

Domain linkagesFullcontextual analytics

Location risk

Occupational risk

Dietary riskFamily history

Actuarial data

Government statisticsEpidemic data

Chemical exposure

Personal financial situation

Social relationships

Travel history

Weather history

. . .

. . .

Patient records

© 2013 IBM CorporationCollaborative Innovation Ann Winbald,

ŊůġŪŵŴġųŢŸġŧŰųŮĭġŰŪŭġũŢŴġŭŪŵŵŭŦġŷŢŭŶŦįŊůġŪŵŴġųŢŸġŧŰųŮĭġŰŪŭġũŢŴġŭŪŵŵŭŦġŷŢŭŶŦįŐůŤŦġűųŰŤŦŴŴŦťġħġųŦŧŪůŦťĭġŪŵġũŦŭűŴġŐůŤŦġűųŰŤŦŴŴŦťġħġųŦŧŪůŦťĭġŪŵġũŦŭűŴġűŰŸŦųġŵũŦġŸŰųŭťįűŰŸŦųġŵũŦġŸŰųŭťį

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ȾȾData is the New OilData is the New Oilȿȿ

© 2013 IBM Corporation11 Time

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…Total Possible Insight from

organization and externally available

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“Organization Insight”“Every two days now we create as much information as we did from the dawn of civilization up until 2003.”

~ Eric Schmidt, CEO Google


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Available Insight from Sense-making

Algorithms

Total Possible Insight from


data

“Organization Insight”


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Algorithms



data Organization Insight Gap

“Organization Insight Gap”


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Algorithms



data

“Filling The Organization Insight Gap”• MORE DATA – INTERNAL + EXTERNAL• MORE COMBINATION OF DISPARATE DATA

• MULTIMEDIA, UNSTRCUCTURED, ETC• MORE CONTEXT• MORE ANALYTICS TOOLS


Eliminating the millions of tons of food thrown away annually in the US and UK could lift more than a billion people out of hunger worldwide

Global Challenge: Food

Image Source: Sun

Collaborative Innovation


Today there are 1 Billion cars on the road. That number will double in 2020

Congested roadways cost $78 Billionannually in the form of 4.2 Billion lost working hours and 2.9 billion gallons of wasted gas.

Global Challenge: Transportation


Global Challenge: Healthcare

$475 BillionEstimated U.S. healthcare spending each

year on administrative and clinical waste, fraud and abuse and other waste.1

1.5 MillionErrors in the way medications are

prescribed, delivered and taken harm 1.5 million people in the U.S. every year.2


Integrating realIntegrating real--world data with analytics allows one to be world data with analytics allows one to be ProactiveProactive vs Reactivevs Reactive

Operational/ TransactionalInsights in Singapore

Road Usage Optimization,

GHG emission models

Proactive

Ignorance is NOT bliss

Data allowsinsight, and insightenables foresight

Foresight allowsone to changethe future for

the better


Can We Really Know the Future? Blue is the prediction, Can We Really Know the Future? Blue is the prediction, Black is measuredBlack is measured

10 minute-ahead volume forecast (blue) at three

locations vs. actual data (black)

10 minute-ahead speed forecast (blue) at the

same three locations vs. actual data (black)

The Power of Big Data•In the long past-----You’re stuck in traffic, here’s why…..•In the recent past-----You will be stuck in traffic, here’s why…….•In the present-----You would have been stuck, but I took care of it


The Intelligent Operations Center, Rio de Janeiro, BrazilThe Challenge; Evolve from Reactive to Proactive Operations

History; Flooding in 2010 resulted in 110 deaths.Proactive emergency response is crucial


“Big Data’s” Impact on Public Safety: Example; Blue CRUSH in Memphis, TN & Richmond, VA

Blue CRUSH predictive analysis for officer deployment & risk management generated easy-to-read crime maps every four hoursRichmond, VA: Violent crime decreased in the first year by 32%, another 40% thereafter, moving Richmond from #5 on the list of the most dangerous US cities to #99

Memphis Blue CRUSH MapMemphis Blue CRUSH Map


What’sNext?

© 2013 International Business Machines Corporation 24

Cognitive Computing Complex reasoning and interaction extends human cognition

LegalSuggest defense/ prosecution argumentsTelemarketingNext generation – persuasive – call center

HealthcareSurface best protocols to practitioners

FinanceEnhance decision support

How would you leverage a “Tireless Genius” at your side” ?

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Thank You !ibm.com/smartercities

Seshadri Subbanna Presentation: Driving Collaborative Innovation with Clients in Globally Integrated...

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