SlideShare a Scribd company logo
1 of 18
The Intelligent Enterprise:
How Companies Are Using Cognitive Computing to Drive
Tangible Results
Nancy Pearson
Vice President, IBM Cognitive Business Marketing
October 26, 2016
Digital businesses are
disrupting virtually
every industry and
profession.
expect more
competitors
from outside
their industry
54%
of CxOs
2 SOURCE cited in notes
World of Watson
2016
+
3
Tomorrow’s disruptors will be organizations
that can converge digital business with a
new level of digital intelligence.
Digital business Digital intelligence
Cognitive business
World of Watson
2016
Structured and active Unstructured and dark
Data that’s comingData outside your firewallData you possess ++
4
How you invoke insights from all data
will determine your digital intelligence.
believe cognitive is
essential to data challenges
that conventional analytics
cannot tackle
60%
of early
adopters
World of Watson
2016
An organization that creates knowledge
from data to expand virtually everyone’s
expertise, continually learning and adapting
to outthink the needs of the market
5
Digital business +
Digital intelligence
Cognitive business
GROW
KNOWLEDGE
FROM DATA
ENHANCE
EXPERTISE
LEARN AND
ADAPT
World of Watson
2016
6
A cognitive business has systems that can
enhance digital intelligence exponentially.
REASON
They can reason, grasp
underlying concepts,
form hypotheses, and
infer and extract ideas.
UNDERSTAND
Cognitive systems
understand imagery,
language and other
unstructured data
like humans do.
LEARN
With each data point,
interaction and outcome,
they develop and
sharpen expertise, so
they never stop learning.
INTERACT
With abilities to see,
talk and hear, cognitive
systems interact with
humans in a natural way.
World of Watson
2016
How are cognitive systems different?
Are not programmed
but pose hypotheses
based on data patterns
and probability
Can see, use and
operationalize
virtually all data
Can understand, reason,
learn and interact with
humans naturally
7
World of Watson
2016
World of Watson
20168
How are organizations capitalizing on
the potential of cognitive computing?
We surveyed more than 600
cognitive decision makers
worldwide to discover insights
about cognitive adoption
say they already gain
major competitive
advantage from their
cognitive initiatives
50%
of users
say outcomes
from cognitive
initiatives exceed
their expectations
62%
of users
World of Watson
20169
While early adopters
view cognitive as essential,
challenges remain
cite data issues as
a top challenge
• volume
• quality
• integration & conversion
54%
cite insufficient skills as
a top challenge
• computer scientists
with AI skills
• software developers
• subject matter experts
• data experts
54%
World of Watson
201610
Early adopters see the
enormous potential
of cognitive, but still
struggle with strategy
and roadmap
say adopting cognitive is
very important to their
organization’s strategy
and success
65%
have a comprehensive,
company-wide strategy
for cognitive (another
41% are developing one)
Only
7%
report they struggle with
a roadmap for adoption46%
How will you
get started?
11
World of Watson
2016
12
The journey to cognitive business.
Cloud
Security
Analytics
Mobile
IT Infrastructure
Services
Industry Solutions for
Cognitive Business
Watson
Watson Health
Commerce Solutions
Industry Analytics
Digital business Digital intelligence+
Watson IoT
Watson Analytics
Data as information
Data as insights
Data as knowledge
World of Watson
2016
13
Identify a
problem
to solve.
Cast a vision.
Champion a
new culture.
Assess progress
toward your
desired outcome.
Measure
specific values.
Ensure that your
process
is working, and
iterate as needed.
Assess data
requirements
from internal and
external sources.
Collect, ingest,
curate, annotate
and build out
taxonomies and
ontologies.
Execute a
staged rollout
based on a
simple starter
prototype.
Instrument for
metrics and key
performance
indicators (KPIs).
Prepare people
for new ways of
collaborating
with
technology.
Adapt
processes,
content and
roles as
needed.
Periodically
update
functionality and
training with new
content based on
learnings.
Becoming a cognitive business in six steps
1
Develop your
cognitive
strategy
6
Measure
outcomes
3
Apply
cognitive
technology
4
Engage your
organization
5
Enhance cognitive
capabilities based
on learning
2
Evaluate and
curate data
World of Watson
2016
Is someone else defining
your industry?
How much do you lose by not
monetizing your data?
Will your customers leave for
competitors that engage more
personally with them?
What’s the cost of not being
a cognitive business?
14
World of Watson
2016
The Cognitive Business
Narrative / 05.18.201615
http://ibm.biz/watsonmedtronic
Notices and
disclaimers
Copyright © 2016 by International Business Machines Corporation (IBM). No part of this document may be reproduced or
transmitted in any form without written permission from IBM.
U.S. Government Users Restricted Rights - Use, duplication or disclosure restricted by GSA ADP Schedule Contract with
IBM.
Information in these presentations (including information relating to products that have not yet been announced by IBM) has been
reviewed for accuracy as of the date of initial publication and could include unintentional technical or typographical errors. IBM shall
have no responsibility to update this information. THIS DOCUMENT IS DISTRIBUTED "AS IS" WITHOUT ANY WARRANTY,
EITHER EXPRESS OR IMPLIED. IN NO EVENT SHALL IBM BE LIABLE FOR ANY DAMAGE ARISING FROM THE USE OF THIS
INFORMATION, INCLUDING BUT NOT LIMITED TO, LOSS OF DATA, BUSINESS INTERRUPTION, LOSS OF PROFIT OR LOSS
OF OPPORTUNITY. IBM products and services are warranted according to the terms and conditions of the agreements under
which they are provided.
IBM products are manufactured from new parts or new and used parts. In some cases, a product may not be new and may have
been previously installed. Regardless, our warranty terms apply.”
Any statements regarding IBM's future direction, intent or product plans are subject to change or withdrawal without
notice.
Performance data contained herein was generally obtained in a controlled, isolated environments. Customer examples are
presented as illustrations of how those customers have used IBM products and the results they may have achieved. Actual
performance, cost, savings or other results in other operating environments may vary.
References in this document to IBM products, programs, or services does not imply that IBM intends to make such products,
programs or services available in all countries in which IBM operates or does business.
Workshops, sessions and associated materials may have been prepared by independent session speakers, and do not necessarily
reflect the views of IBM. All materials and discussions are provided for informational purposes only, and are neither intended to, nor
shall constitute legal or other guidance or advice to any individual participant or their specific situation.
It is the customer’s responsibility to insure its own compliance with legal requirements and to obtain advice of competent legal
counsel as to the identification and interpretation of any relevant laws and regulatory requirements that may affect the customer’s
business and any actions the customer may need to take to comply with such laws. IBM does not provide legal advice or represent
or warrant that its services or products will ensure that the customer is in compliance with any law.
16 10/27/2016World of Watson 2016
Notices and
disclaimers
continued
Information concerning non-IBM products was obtained from the suppliers of those products, their published announcements or other
publicly available sources. IBM has not tested those products in connection with this publication and cannot confirm the accuracy of
performance, compatibility or any other claims related to non-IBM products. Questions on the capabilities of non-IBM products should be
addressed to the suppliers of those products. IBM does not warrant the quality of any third-party products, or the ability of any such third-
party products to interoperate with IBM’s products. IBM EXPRESSLY DISCLAIMS ALL WARRANTIES, EXPRESSED OR IMPLIED,
INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
PURPOSE.
The provision of the information contained herein is not intended to, and does not, grant any right or license under any IBM patents,
copyrights, trademarks or other intellectual property right.
IBM, the IBM logo, ibm.com, Aspera®, Bluemix, Blueworks Live, CICS, Clearcase, Cognos®, DOORS®, Emptoris®, Enterprise Document
Management System™, FASP®, FileNet®, Global Business Services ®, Global Technology Services ®, IBM ExperienceOne™, IBM
SmartCloud®, IBM Social Business®, Information on Demand, ILOG, Maximo®, MQIntegrator®, MQSeries®, Netcool®, OMEGAMON,
OpenPower, PureAnalytics™, PureApplication®, pureCluster™, PureCoverage®, PureData®, PureExperience®, PureFlex®, pureQuery®,
pureScale®, PureSystems®, QRadar®, Rational®, Rhapsody®, Smarter Commerce®, SoDA, SPSS, Sterling Commerce®, StoredIQ,
Tealeaf®, Tivoli®, Trusteer®, Unica®, urban{code}®, Watson, WebSphere®, Worklight®, X-Force® and System z® Z/OS, are trademarks of
International Business Machines Corporation, registered in many jurisdictions worldwide. Other product and service names might be
trademarks of IBM or other companies. A current list of IBM trademarks is available on the Web at "Copyright and trademark information" at:
www.ibm.com/legal/copytrade.shtml.
17 10/27/2016World of Watson 2016
Thank you
ibm.com/cognitive

More Related Content

What's hot

Cognitive computing in Insurance
Cognitive computing in InsuranceCognitive computing in Insurance
Cognitive computing in InsuranceAnders Quitzau
 
Cognitive Computing : Trends to Watch in 2016
Cognitive Computing:  Trends to Watch in 2016Cognitive Computing:  Trends to Watch in 2016
Cognitive Computing : Trends to Watch in 2016Bill Chamberlin
 
Капитализация промышленного интернета
Капитализация промышленного интернетаКапитализация промышленного интернета
Капитализация промышленного интернетаSergey Zhdanov
 
Evaluating the opportunity for embedded ai in data productivity tools
Evaluating the opportunity for embedded ai in data productivity toolsEvaluating the opportunity for embedded ai in data productivity tools
Evaluating the opportunity for embedded ai in data productivity toolsNeil Raden
 
Inside the mind of Generation D: What it means to be data-rich and analytica...
Inside the mind of Generation D:  What it means to be data-rich and analytica...Inside the mind of Generation D:  What it means to be data-rich and analytica...
Inside the mind of Generation D: What it means to be data-rich and analytica...Derek Franks
 
Strategy Report for NextGen BI
Strategy Report for NextGen BIStrategy Report for NextGen BI
Strategy Report for NextGen BINeil Raden
 
Global Data Management: Governance, Security and Usefulness in a Hybrid World
Global Data Management: Governance, Security and Usefulness in a Hybrid WorldGlobal Data Management: Governance, Security and Usefulness in a Hybrid World
Global Data Management: Governance, Security and Usefulness in a Hybrid WorldNeil Raden
 
Diginomica 2019 2020 not ai neil raden article links and captions
Diginomica 2019 2020 not ai  neil raden article links and captionsDiginomica 2019 2020 not ai  neil raden article links and captions
Diginomica 2019 2020 not ai neil raden article links and captionsNeil Raden
 
2021 Trends in Data Science
2021 Trends in Data Science2021 Trends in Data Science
2021 Trends in Data ScienceMITAcademy1
 
KM - Cognitive Computing overview by Ken Martin 13Apr2016
KM - Cognitive Computing overview by Ken Martin 13Apr2016KM - Cognitive Computing overview by Ken Martin 13Apr2016
KM - Cognitive Computing overview by Ken Martin 13Apr2016HCL Technologies
 
Diginomica 2019 2020 ai ai ethics neil raden articles links and captions
Diginomica 2019 2020 ai ai ethics neil raden articles links and captionsDiginomica 2019 2020 ai ai ethics neil raden articles links and captions
Diginomica 2019 2020 ai ai ethics neil raden articles links and captionsNeil Raden
 
Data in the Wild: Survival Guide
Data in the Wild: Survival GuideData in the Wild: Survival Guide
Data in the Wild: Survival GuideDruva
 
AI in Business - Key drivers and future value
AI in Business - Key drivers and future valueAI in Business - Key drivers and future value
AI in Business - Key drivers and future valueAPPANION
 
Teaching organizations to fish in a data-rich future: Stories from data leaders
Teaching organizations to fish in a data-rich future: Stories from data leadersTeaching organizations to fish in a data-rich future: Stories from data leaders
Teaching organizations to fish in a data-rich future: Stories from data leadersAmanda Sirianni
 
EDW 2015 cognitive computing panel session
EDW 2015 cognitive computing panel session EDW 2015 cognitive computing panel session
EDW 2015 cognitive computing panel session Steve Ardire
 
Data set The Future of Big Data
Data set The Future of Big DataData set The Future of Big Data
Data set The Future of Big DataData-Set
 

What's hot (20)

Cognitive computing in Insurance
Cognitive computing in InsuranceCognitive computing in Insurance
Cognitive computing in Insurance
 
Cognitive Computing : Trends to Watch in 2016
Cognitive Computing:  Trends to Watch in 2016Cognitive Computing:  Trends to Watch in 2016
Cognitive Computing : Trends to Watch in 2016
 
Капитализация промышленного интернета
Капитализация промышленного интернетаКапитализация промышленного интернета
Капитализация промышленного интернета
 
Evaluating the opportunity for embedded ai in data productivity tools
Evaluating the opportunity for embedded ai in data productivity toolsEvaluating the opportunity for embedded ai in data productivity tools
Evaluating the opportunity for embedded ai in data productivity tools
 
Deloitte Insights
Deloitte InsightsDeloitte Insights
Deloitte Insights
 
Digital Marketing
Digital MarketingDigital Marketing
Digital Marketing
 
Deloitte disruption ahead IBM Watson
Deloitte disruption ahead IBM WatsonDeloitte disruption ahead IBM Watson
Deloitte disruption ahead IBM Watson
 
Inside the mind of Generation D: What it means to be data-rich and analytica...
Inside the mind of Generation D:  What it means to be data-rich and analytica...Inside the mind of Generation D:  What it means to be data-rich and analytica...
Inside the mind of Generation D: What it means to be data-rich and analytica...
 
Strategy Report for NextGen BI
Strategy Report for NextGen BIStrategy Report for NextGen BI
Strategy Report for NextGen BI
 
Keynote Dubai
Keynote DubaiKeynote Dubai
Keynote Dubai
 
Global Data Management: Governance, Security and Usefulness in a Hybrid World
Global Data Management: Governance, Security and Usefulness in a Hybrid WorldGlobal Data Management: Governance, Security and Usefulness in a Hybrid World
Global Data Management: Governance, Security and Usefulness in a Hybrid World
 
Diginomica 2019 2020 not ai neil raden article links and captions
Diginomica 2019 2020 not ai  neil raden article links and captionsDiginomica 2019 2020 not ai  neil raden article links and captions
Diginomica 2019 2020 not ai neil raden article links and captions
 
2021 Trends in Data Science
2021 Trends in Data Science2021 Trends in Data Science
2021 Trends in Data Science
 
KM - Cognitive Computing overview by Ken Martin 13Apr2016
KM - Cognitive Computing overview by Ken Martin 13Apr2016KM - Cognitive Computing overview by Ken Martin 13Apr2016
KM - Cognitive Computing overview by Ken Martin 13Apr2016
 
Diginomica 2019 2020 ai ai ethics neil raden articles links and captions
Diginomica 2019 2020 ai ai ethics neil raden articles links and captionsDiginomica 2019 2020 ai ai ethics neil raden articles links and captions
Diginomica 2019 2020 ai ai ethics neil raden articles links and captions
 
Data in the Wild: Survival Guide
Data in the Wild: Survival GuideData in the Wild: Survival Guide
Data in the Wild: Survival Guide
 
AI in Business - Key drivers and future value
AI in Business - Key drivers and future valueAI in Business - Key drivers and future value
AI in Business - Key drivers and future value
 
Teaching organizations to fish in a data-rich future: Stories from data leaders
Teaching organizations to fish in a data-rich future: Stories from data leadersTeaching organizations to fish in a data-rich future: Stories from data leaders
Teaching organizations to fish in a data-rich future: Stories from data leaders
 
EDW 2015 cognitive computing panel session
EDW 2015 cognitive computing panel session EDW 2015 cognitive computing panel session
EDW 2015 cognitive computing panel session
 
Data set The Future of Big Data
Data set The Future of Big DataData set The Future of Big Data
Data set The Future of Big Data
 

Viewers also liked

The Intelligent Enterprise: How Companies are Using Cognitive Computing to Dr...
The Intelligent Enterprise: How Companies are Using Cognitive Computing to Dr...The Intelligent Enterprise: How Companies are Using Cognitive Computing to Dr...
The Intelligent Enterprise: How Companies are Using Cognitive Computing to Dr...Susanne Hupfer, Ph.D.
 
Journey to Industry 4.0 and beyond with Cognitive Manufacturing
Journey to Industry 4.0 and beyond with Cognitive ManufacturingJourney to Industry 4.0 and beyond with Cognitive Manufacturing
Journey to Industry 4.0 and beyond with Cognitive ManufacturingIBM Internet of Things
 
IBM BPM On Cloud demo Sept 4 2015
IBM BPM On Cloud demo Sept 4 2015IBM BPM On Cloud demo Sept 4 2015
IBM BPM On Cloud demo Sept 4 2015Logan Vadivelu
 
3 Essentials for Omni-channel Commerce
3 Essentials for Omni-channel Commerce3 Essentials for Omni-channel Commerce
3 Essentials for Omni-channel CommerceIBM Watson Commerce
 
Forward thinking: What's next for AI
Forward thinking: What's next for AIForward thinking: What's next for AI
Forward thinking: What's next for AIIBM
 
The Digital Intelligence Imperative — Driving Digital Customer Experiences W...
 The Digital Intelligence Imperative — Driving Digital Customer Experiences W... The Digital Intelligence Imperative — Driving Digital Customer Experiences W...
The Digital Intelligence Imperative — Driving Digital Customer Experiences W...Tealium
 
Shiny Object or Digital Intelligence Hub? Evolution of the Social Media Comma...
Shiny Object or Digital Intelligence Hub? Evolution of the Social Media Comma...Shiny Object or Digital Intelligence Hub? Evolution of the Social Media Comma...
Shiny Object or Digital Intelligence Hub? Evolution of the Social Media Comma...Susan Etlinger
 
The new era of supply chain begins now
The new era of supply chain begins nowThe new era of supply chain begins now
The new era of supply chain begins nowCaroline Boscher
 
Create and Simplify Flexible Order Management with IBM OMS
Create and Simplify Flexible Order Management with IBM OMSCreate and Simplify Flexible Order Management with IBM OMS
Create and Simplify Flexible Order Management with IBM OMSPerficient, Inc.
 
Insight2014 orchestrating customer_activated_supply_chain_6913
Insight2014 orchestrating customer_activated_supply_chain_6913Insight2014 orchestrating customer_activated_supply_chain_6913
Insight2014 orchestrating customer_activated_supply_chain_6913IBMgbsNA
 
Reveal the Car's Potential with Cognitive IoT
Reveal the Car's Potential with Cognitive IoTReveal the Car's Potential with Cognitive IoT
Reveal the Car's Potential with Cognitive IoTSebastian Wedeniwski
 
Bring IBM Watson to your telephone
Bring IBM Watson to your telephoneBring IBM Watson to your telephone
Bring IBM Watson to your telephoneBrian Pulito
 
Capgemini Smart Plant Supervision Solution
Capgemini Smart Plant Supervision SolutionCapgemini Smart Plant Supervision Solution
Capgemini Smart Plant Supervision SolutionCapgemini
 
Watson API Use Case Demos for the Nittany Watson Challenge
Watson API Use Case Demos for the Nittany Watson ChallengeWatson API Use Case Demos for the Nittany Watson Challenge
Watson API Use Case Demos for the Nittany Watson ChallengePenn State EdTech Network
 
IBM Smarter Commerce Order Management for Communications
IBM Smarter Commerce Order Management for CommunicationsIBM Smarter Commerce Order Management for Communications
IBM Smarter Commerce Order Management for CommunicationsChris Shaw
 

Viewers also liked (17)

The Intelligent Enterprise: How Companies are Using Cognitive Computing to Dr...
The Intelligent Enterprise: How Companies are Using Cognitive Computing to Dr...The Intelligent Enterprise: How Companies are Using Cognitive Computing to Dr...
The Intelligent Enterprise: How Companies are Using Cognitive Computing to Dr...
 
Journey to Industry 4.0 and beyond with Cognitive Manufacturing
Journey to Industry 4.0 and beyond with Cognitive ManufacturingJourney to Industry 4.0 and beyond with Cognitive Manufacturing
Journey to Industry 4.0 and beyond with Cognitive Manufacturing
 
IBM BPM On Cloud demo Sept 4 2015
IBM BPM On Cloud demo Sept 4 2015IBM BPM On Cloud demo Sept 4 2015
IBM BPM On Cloud demo Sept 4 2015
 
3 Essentials for Omni-channel Commerce
3 Essentials for Omni-channel Commerce3 Essentials for Omni-channel Commerce
3 Essentials for Omni-channel Commerce
 
Forward thinking: What's next for AI
Forward thinking: What's next for AIForward thinking: What's next for AI
Forward thinking: What's next for AI
 
The Digital Intelligence Imperative — Driving Digital Customer Experiences W...
 The Digital Intelligence Imperative — Driving Digital Customer Experiences W... The Digital Intelligence Imperative — Driving Digital Customer Experiences W...
The Digital Intelligence Imperative — Driving Digital Customer Experiences W...
 
Shiny Object or Digital Intelligence Hub? Evolution of the Social Media Comma...
Shiny Object or Digital Intelligence Hub? Evolution of the Social Media Comma...Shiny Object or Digital Intelligence Hub? Evolution of the Social Media Comma...
Shiny Object or Digital Intelligence Hub? Evolution of the Social Media Comma...
 
The new era of supply chain begins now
The new era of supply chain begins nowThe new era of supply chain begins now
The new era of supply chain begins now
 
Create and Simplify Flexible Order Management with IBM OMS
Create and Simplify Flexible Order Management with IBM OMSCreate and Simplify Flexible Order Management with IBM OMS
Create and Simplify Flexible Order Management with IBM OMS
 
Data flow diagrams - DFD
Data flow diagrams - DFDData flow diagrams - DFD
Data flow diagrams - DFD
 
Insight2014 orchestrating customer_activated_supply_chain_6913
Insight2014 orchestrating customer_activated_supply_chain_6913Insight2014 orchestrating customer_activated_supply_chain_6913
Insight2014 orchestrating customer_activated_supply_chain_6913
 
Reveal the Car's Potential with Cognitive IoT
Reveal the Car's Potential with Cognitive IoTReveal the Car's Potential with Cognitive IoT
Reveal the Car's Potential with Cognitive IoT
 
Bring IBM Watson to your telephone
Bring IBM Watson to your telephoneBring IBM Watson to your telephone
Bring IBM Watson to your telephone
 
Amplify session cse-1728
Amplify session cse-1728Amplify session cse-1728
Amplify session cse-1728
 
Capgemini Smart Plant Supervision Solution
Capgemini Smart Plant Supervision SolutionCapgemini Smart Plant Supervision Solution
Capgemini Smart Plant Supervision Solution
 
Watson API Use Case Demos for the Nittany Watson Challenge
Watson API Use Case Demos for the Nittany Watson ChallengeWatson API Use Case Demos for the Nittany Watson Challenge
Watson API Use Case Demos for the Nittany Watson Challenge
 
IBM Smarter Commerce Order Management for Communications
IBM Smarter Commerce Order Management for CommunicationsIBM Smarter Commerce Order Management for Communications
IBM Smarter Commerce Order Management for Communications
 

Similar to Intelligent enterprise: Cognitive Business Presentation from World of Watson

Introduction to IBM Cognitive Business
Introduction to IBM Cognitive Business Introduction to IBM Cognitive Business
Introduction to IBM Cognitive Business Donna M Stechey
 
AD 1656 - Transforming social data into business insight
AD 1656 - Transforming social data into business insightAD 1656 - Transforming social data into business insight
AD 1656 - Transforming social data into business insightVincent Burckhardt
 
MOB-1298_How to Harness Human Data and Insights to Develop Better Mobile Expe...
MOB-1298_How to Harness Human Data and Insights to Develop Better Mobile Expe...MOB-1298_How to Harness Human Data and Insights to Develop Better Mobile Expe...
MOB-1298_How to Harness Human Data and Insights to Develop Better Mobile Expe...Karen He
 
Insight_Session_2734_Presentation_Final
Insight_Session_2734_Presentation_FinalInsight_Session_2734_Presentation_Final
Insight_Session_2734_Presentation_FinalKaren He
 
DEV-1223: Socialytics: Accelerating IBM Connections Adoption with Watson Anal...
DEV-1223: Socialytics: Accelerating IBM Connections Adoption with Watson Anal...DEV-1223: Socialytics: Accelerating IBM Connections Adoption with Watson Anal...
DEV-1223: Socialytics: Accelerating IBM Connections Adoption with Watson Anal...panagenda
 
Cognitive collaboration
Cognitive collaborationCognitive collaboration
Cognitive collaborationLetsConnect
 
DMT-2467 Like the Features in Rational DOORS 9? Come Check Them Out in DOORS...
DMT-2467	Like the Features in Rational DOORS 9? Come Check Them Out in DOORS...DMT-2467	Like the Features in Rational DOORS 9? Come Check Them Out in DOORS...
DMT-2467 Like the Features in Rational DOORS 9? Come Check Them Out in DOORS...IBM Rational software
 
Witness the Evolution of Teamwork
Witness the Evolution of TeamworkWitness the Evolution of Teamwork
Witness the Evolution of TeamworkMatt Holitza
 
Integrate Application Security Testing into your SDLC
Integrate Application Security Testing into your SDLCIntegrate Application Security Testing into your SDLC
Integrate Application Security Testing into your SDLCIBM Security
 
Collaboration Technology in Today's Working Environment
Collaboration Technology in Today's Working EnvironmentCollaboration Technology in Today's Working Environment
Collaboration Technology in Today's Working EnvironmentNUS-ISS
 
IBM Design Thinking + Agile + DevOps Interconnect 2017
IBM Design Thinking + Agile + DevOps Interconnect 2017IBM Design Thinking + Agile + DevOps Interconnect 2017
IBM Design Thinking + Agile + DevOps Interconnect 2017David Luke
 
Enrich your IBM Connections profiles by extending the profiles data model
Enrich your IBM Connections profiles by extending the profiles data modelEnrich your IBM Connections profiles by extending the profiles data model
Enrich your IBM Connections profiles by extending the profiles data modelWannes Rams
 
Social analytics - SXSW presentation by Amber Armstrong
Social analytics - SXSW presentation by Amber ArmstrongSocial analytics - SXSW presentation by Amber Armstrong
Social analytics - SXSW presentation by Amber ArmstrongAmber Armstrong
 
App infrastructure &_integration_keynote_final
App infrastructure &_integration_keynote_finalApp infrastructure &_integration_keynote_final
App infrastructure &_integration_keynote_finaleileendohertysmith
 
Fnb optimizes retail banking product offers using real-time propensity models...
Fnb optimizes retail banking product offers using real-time propensity models...Fnb optimizes retail banking product offers using real-time propensity models...
Fnb optimizes retail banking product offers using real-time propensity models...Avsharn
 
World of Watson - Integrating IBM Watson IOT Platform and IBM Blockchain
World of Watson - Integrating IBM Watson IOT Platform and IBM BlockchainWorld of Watson - Integrating IBM Watson IOT Platform and IBM Blockchain
World of Watson - Integrating IBM Watson IOT Platform and IBM BlockchainRahul Gupta
 
OpenTechSummit InterConnect2015 DevOps
OpenTechSummit InterConnect2015 DevOpsOpenTechSummit InterConnect2015 DevOps
OpenTechSummit InterConnect2015 DevOpsSanjeev Sharma
 

Similar to Intelligent enterprise: Cognitive Business Presentation from World of Watson (20)

Introduction to IBM Cognitive Business
Introduction to IBM Cognitive Business Introduction to IBM Cognitive Business
Introduction to IBM Cognitive Business
 
WOW2016_3963
WOW2016_3963WOW2016_3963
WOW2016_3963
 
AD 1656 - Transforming social data into business insight
AD 1656 - Transforming social data into business insightAD 1656 - Transforming social data into business insight
AD 1656 - Transforming social data into business insight
 
MOB-1298_How to Harness Human Data and Insights to Develop Better Mobile Expe...
MOB-1298_How to Harness Human Data and Insights to Develop Better Mobile Expe...MOB-1298_How to Harness Human Data and Insights to Develop Better Mobile Expe...
MOB-1298_How to Harness Human Data and Insights to Develop Better Mobile Expe...
 
Insight_Session_2734_Presentation_Final
Insight_Session_2734_Presentation_FinalInsight_Session_2734_Presentation_Final
Insight_Session_2734_Presentation_Final
 
DEV-1223: Socialytics: Accelerating IBM Connections Adoption with Watson Anal...
DEV-1223: Socialytics: Accelerating IBM Connections Adoption with Watson Anal...DEV-1223: Socialytics: Accelerating IBM Connections Adoption with Watson Anal...
DEV-1223: Socialytics: Accelerating IBM Connections Adoption with Watson Anal...
 
Cognitive collaboration
Cognitive collaborationCognitive collaboration
Cognitive collaboration
 
WOW2016_4035
WOW2016_4035WOW2016_4035
WOW2016_4035
 
the future of work
the future of workthe future of work
the future of work
 
DMT-2467 Like the Features in Rational DOORS 9? Come Check Them Out in DOORS...
DMT-2467	Like the Features in Rational DOORS 9? Come Check Them Out in DOORS...DMT-2467	Like the Features in Rational DOORS 9? Come Check Them Out in DOORS...
DMT-2467 Like the Features in Rational DOORS 9? Come Check Them Out in DOORS...
 
Witness the Evolution of Teamwork
Witness the Evolution of TeamworkWitness the Evolution of Teamwork
Witness the Evolution of Teamwork
 
Integrate Application Security Testing into your SDLC
Integrate Application Security Testing into your SDLCIntegrate Application Security Testing into your SDLC
Integrate Application Security Testing into your SDLC
 
Collaboration Technology in Today's Working Environment
Collaboration Technology in Today's Working EnvironmentCollaboration Technology in Today's Working Environment
Collaboration Technology in Today's Working Environment
 
IBM Design Thinking + Agile + DevOps Interconnect 2017
IBM Design Thinking + Agile + DevOps Interconnect 2017IBM Design Thinking + Agile + DevOps Interconnect 2017
IBM Design Thinking + Agile + DevOps Interconnect 2017
 
Enrich your IBM Connections profiles by extending the profiles data model
Enrich your IBM Connections profiles by extending the profiles data modelEnrich your IBM Connections profiles by extending the profiles data model
Enrich your IBM Connections profiles by extending the profiles data model
 
Social analytics - SXSW presentation by Amber Armstrong
Social analytics - SXSW presentation by Amber ArmstrongSocial analytics - SXSW presentation by Amber Armstrong
Social analytics - SXSW presentation by Amber Armstrong
 
App infrastructure &_integration_keynote_final
App infrastructure &_integration_keynote_finalApp infrastructure &_integration_keynote_final
App infrastructure &_integration_keynote_final
 
Fnb optimizes retail banking product offers using real-time propensity models...
Fnb optimizes retail banking product offers using real-time propensity models...Fnb optimizes retail banking product offers using real-time propensity models...
Fnb optimizes retail banking product offers using real-time propensity models...
 
World of Watson - Integrating IBM Watson IOT Platform and IBM Blockchain
World of Watson - Integrating IBM Watson IOT Platform and IBM BlockchainWorld of Watson - Integrating IBM Watson IOT Platform and IBM Blockchain
World of Watson - Integrating IBM Watson IOT Platform and IBM Blockchain
 
OpenTechSummit InterConnect2015 DevOps
OpenTechSummit InterConnect2015 DevOpsOpenTechSummit InterConnect2015 DevOps
OpenTechSummit InterConnect2015 DevOps
 

Recently uploaded

The Coffee Bean & Tea Leaf(CBTL), Business strategy case study
The Coffee Bean & Tea Leaf(CBTL), Business strategy case studyThe Coffee Bean & Tea Leaf(CBTL), Business strategy case study
The Coffee Bean & Tea Leaf(CBTL), Business strategy case studyEthan lee
 
Pharma Works Profile of Karan Communications
Pharma Works Profile of Karan CommunicationsPharma Works Profile of Karan Communications
Pharma Works Profile of Karan Communicationskarancommunications
 
Understanding the Pakistan Budgeting Process: Basics and Key Insights
Understanding the Pakistan Budgeting Process: Basics and Key InsightsUnderstanding the Pakistan Budgeting Process: Basics and Key Insights
Understanding the Pakistan Budgeting Process: Basics and Key Insightsseri bangash
 
Insurers' journeys to build a mastery in the IoT usage
Insurers' journeys to build a mastery in the IoT usageInsurers' journeys to build a mastery in the IoT usage
Insurers' journeys to build a mastery in the IoT usageMatteo Carbone
 
Progress Report - Oracle Database Analyst Summit
Progress  Report - Oracle Database Analyst SummitProgress  Report - Oracle Database Analyst Summit
Progress Report - Oracle Database Analyst SummitHolger Mueller
 
Best Basmati Rice Manufacturers in India
Best Basmati Rice Manufacturers in IndiaBest Basmati Rice Manufacturers in India
Best Basmati Rice Manufacturers in IndiaShree Krishna Exports
 
Cracking the Cultural Competence Code.pptx
Cracking the Cultural Competence Code.pptxCracking the Cultural Competence Code.pptx
Cracking the Cultural Competence Code.pptxWorkforce Group
 
Value Proposition canvas- Customer needs and pains
Value Proposition canvas- Customer needs and painsValue Proposition canvas- Customer needs and pains
Value Proposition canvas- Customer needs and painsP&CO
 
A305_A2_file_Batkhuu progress report.pdf
A305_A2_file_Batkhuu progress report.pdfA305_A2_file_Batkhuu progress report.pdf
A305_A2_file_Batkhuu progress report.pdftbatkhuu1
 
MONA 98765-12871 CALL GIRLS IN LUDHIANA LUDHIANA CALL GIRL
MONA 98765-12871 CALL GIRLS IN LUDHIANA LUDHIANA CALL GIRLMONA 98765-12871 CALL GIRLS IN LUDHIANA LUDHIANA CALL GIRL
MONA 98765-12871 CALL GIRLS IN LUDHIANA LUDHIANA CALL GIRLSeo
 
M.C Lodges -- Guest House in Jhang.
M.C Lodges --  Guest House in Jhang.M.C Lodges --  Guest House in Jhang.
M.C Lodges -- Guest House in Jhang.Aaiza Hassan
 
KYC-Verified Accounts: Helping Companies Handle Challenging Regulatory Enviro...
KYC-Verified Accounts: Helping Companies Handle Challenging Regulatory Enviro...KYC-Verified Accounts: Helping Companies Handle Challenging Regulatory Enviro...
KYC-Verified Accounts: Helping Companies Handle Challenging Regulatory Enviro...Any kyc Account
 
Mysore Call Girls 8617370543 WhatsApp Number 24x7 Best Services
Mysore Call Girls 8617370543 WhatsApp Number 24x7 Best ServicesMysore Call Girls 8617370543 WhatsApp Number 24x7 Best Services
Mysore Call Girls 8617370543 WhatsApp Number 24x7 Best ServicesDipal Arora
 
RSA Conference Exhibitor List 2024 - Exhibitors Data
RSA Conference Exhibitor List 2024 - Exhibitors DataRSA Conference Exhibitor List 2024 - Exhibitors Data
RSA Conference Exhibitor List 2024 - Exhibitors DataExhibitors Data
 
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...Dave Litwiller
 
HONOR Veterans Event Keynote by Michael Hawkins
HONOR Veterans Event Keynote by Michael HawkinsHONOR Veterans Event Keynote by Michael Hawkins
HONOR Veterans Event Keynote by Michael HawkinsMichael W. Hawkins
 
Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...
Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...
Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...lizamodels9
 
The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Commun...
The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Commun...The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Commun...
The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Commun...Aggregage
 
Lucknow 💋 Escorts in Lucknow - 450+ Call Girl Cash Payment 8923113531 Neha Th...
Lucknow 💋 Escorts in Lucknow - 450+ Call Girl Cash Payment 8923113531 Neha Th...Lucknow 💋 Escorts in Lucknow - 450+ Call Girl Cash Payment 8923113531 Neha Th...
Lucknow 💋 Escorts in Lucknow - 450+ Call Girl Cash Payment 8923113531 Neha Th...anilsa9823
 
Mondelez State of Snacking and Future Trends 2023
Mondelez State of Snacking and Future Trends 2023Mondelez State of Snacking and Future Trends 2023
Mondelez State of Snacking and Future Trends 2023Neil Kimberley
 

Recently uploaded (20)

The Coffee Bean & Tea Leaf(CBTL), Business strategy case study
The Coffee Bean & Tea Leaf(CBTL), Business strategy case studyThe Coffee Bean & Tea Leaf(CBTL), Business strategy case study
The Coffee Bean & Tea Leaf(CBTL), Business strategy case study
 
Pharma Works Profile of Karan Communications
Pharma Works Profile of Karan CommunicationsPharma Works Profile of Karan Communications
Pharma Works Profile of Karan Communications
 
Understanding the Pakistan Budgeting Process: Basics and Key Insights
Understanding the Pakistan Budgeting Process: Basics and Key InsightsUnderstanding the Pakistan Budgeting Process: Basics and Key Insights
Understanding the Pakistan Budgeting Process: Basics and Key Insights
 
Insurers' journeys to build a mastery in the IoT usage
Insurers' journeys to build a mastery in the IoT usageInsurers' journeys to build a mastery in the IoT usage
Insurers' journeys to build a mastery in the IoT usage
 
Progress Report - Oracle Database Analyst Summit
Progress  Report - Oracle Database Analyst SummitProgress  Report - Oracle Database Analyst Summit
Progress Report - Oracle Database Analyst Summit
 
Best Basmati Rice Manufacturers in India
Best Basmati Rice Manufacturers in IndiaBest Basmati Rice Manufacturers in India
Best Basmati Rice Manufacturers in India
 
Cracking the Cultural Competence Code.pptx
Cracking the Cultural Competence Code.pptxCracking the Cultural Competence Code.pptx
Cracking the Cultural Competence Code.pptx
 
Value Proposition canvas- Customer needs and pains
Value Proposition canvas- Customer needs and painsValue Proposition canvas- Customer needs and pains
Value Proposition canvas- Customer needs and pains
 
A305_A2_file_Batkhuu progress report.pdf
A305_A2_file_Batkhuu progress report.pdfA305_A2_file_Batkhuu progress report.pdf
A305_A2_file_Batkhuu progress report.pdf
 
MONA 98765-12871 CALL GIRLS IN LUDHIANA LUDHIANA CALL GIRL
MONA 98765-12871 CALL GIRLS IN LUDHIANA LUDHIANA CALL GIRLMONA 98765-12871 CALL GIRLS IN LUDHIANA LUDHIANA CALL GIRL
MONA 98765-12871 CALL GIRLS IN LUDHIANA LUDHIANA CALL GIRL
 
M.C Lodges -- Guest House in Jhang.
M.C Lodges --  Guest House in Jhang.M.C Lodges --  Guest House in Jhang.
M.C Lodges -- Guest House in Jhang.
 
KYC-Verified Accounts: Helping Companies Handle Challenging Regulatory Enviro...
KYC-Verified Accounts: Helping Companies Handle Challenging Regulatory Enviro...KYC-Verified Accounts: Helping Companies Handle Challenging Regulatory Enviro...
KYC-Verified Accounts: Helping Companies Handle Challenging Regulatory Enviro...
 
Mysore Call Girls 8617370543 WhatsApp Number 24x7 Best Services
Mysore Call Girls 8617370543 WhatsApp Number 24x7 Best ServicesMysore Call Girls 8617370543 WhatsApp Number 24x7 Best Services
Mysore Call Girls 8617370543 WhatsApp Number 24x7 Best Services
 
RSA Conference Exhibitor List 2024 - Exhibitors Data
RSA Conference Exhibitor List 2024 - Exhibitors DataRSA Conference Exhibitor List 2024 - Exhibitors Data
RSA Conference Exhibitor List 2024 - Exhibitors Data
 
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...
 
HONOR Veterans Event Keynote by Michael Hawkins
HONOR Veterans Event Keynote by Michael HawkinsHONOR Veterans Event Keynote by Michael Hawkins
HONOR Veterans Event Keynote by Michael Hawkins
 
Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...
Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...
Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...
 
The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Commun...
The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Commun...The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Commun...
The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Commun...
 
Lucknow 💋 Escorts in Lucknow - 450+ Call Girl Cash Payment 8923113531 Neha Th...
Lucknow 💋 Escorts in Lucknow - 450+ Call Girl Cash Payment 8923113531 Neha Th...Lucknow 💋 Escorts in Lucknow - 450+ Call Girl Cash Payment 8923113531 Neha Th...
Lucknow 💋 Escorts in Lucknow - 450+ Call Girl Cash Payment 8923113531 Neha Th...
 
Mondelez State of Snacking and Future Trends 2023
Mondelez State of Snacking and Future Trends 2023Mondelez State of Snacking and Future Trends 2023
Mondelez State of Snacking and Future Trends 2023
 

Intelligent enterprise: Cognitive Business Presentation from World of Watson

  • 1. The Intelligent Enterprise: How Companies Are Using Cognitive Computing to Drive Tangible Results Nancy Pearson Vice President, IBM Cognitive Business Marketing October 26, 2016
  • 2. Digital businesses are disrupting virtually every industry and profession. expect more competitors from outside their industry 54% of CxOs 2 SOURCE cited in notes World of Watson 2016
  • 3. + 3 Tomorrow’s disruptors will be organizations that can converge digital business with a new level of digital intelligence. Digital business Digital intelligence Cognitive business World of Watson 2016
  • 4. Structured and active Unstructured and dark Data that’s comingData outside your firewallData you possess ++ 4 How you invoke insights from all data will determine your digital intelligence. believe cognitive is essential to data challenges that conventional analytics cannot tackle 60% of early adopters World of Watson 2016
  • 5. An organization that creates knowledge from data to expand virtually everyone’s expertise, continually learning and adapting to outthink the needs of the market 5 Digital business + Digital intelligence Cognitive business GROW KNOWLEDGE FROM DATA ENHANCE EXPERTISE LEARN AND ADAPT World of Watson 2016
  • 6. 6 A cognitive business has systems that can enhance digital intelligence exponentially. REASON They can reason, grasp underlying concepts, form hypotheses, and infer and extract ideas. UNDERSTAND Cognitive systems understand imagery, language and other unstructured data like humans do. LEARN With each data point, interaction and outcome, they develop and sharpen expertise, so they never stop learning. INTERACT With abilities to see, talk and hear, cognitive systems interact with humans in a natural way. World of Watson 2016
  • 7. How are cognitive systems different? Are not programmed but pose hypotheses based on data patterns and probability Can see, use and operationalize virtually all data Can understand, reason, learn and interact with humans naturally 7 World of Watson 2016
  • 8. World of Watson 20168 How are organizations capitalizing on the potential of cognitive computing? We surveyed more than 600 cognitive decision makers worldwide to discover insights about cognitive adoption say they already gain major competitive advantage from their cognitive initiatives 50% of users say outcomes from cognitive initiatives exceed their expectations 62% of users
  • 9. World of Watson 20169 While early adopters view cognitive as essential, challenges remain cite data issues as a top challenge • volume • quality • integration & conversion 54% cite insufficient skills as a top challenge • computer scientists with AI skills • software developers • subject matter experts • data experts 54%
  • 10. World of Watson 201610 Early adopters see the enormous potential of cognitive, but still struggle with strategy and roadmap say adopting cognitive is very important to their organization’s strategy and success 65% have a comprehensive, company-wide strategy for cognitive (another 41% are developing one) Only 7% report they struggle with a roadmap for adoption46%
  • 11. How will you get started? 11 World of Watson 2016
  • 12. 12 The journey to cognitive business. Cloud Security Analytics Mobile IT Infrastructure Services Industry Solutions for Cognitive Business Watson Watson Health Commerce Solutions Industry Analytics Digital business Digital intelligence+ Watson IoT Watson Analytics Data as information Data as insights Data as knowledge World of Watson 2016
  • 13. 13 Identify a problem to solve. Cast a vision. Champion a new culture. Assess progress toward your desired outcome. Measure specific values. Ensure that your process is working, and iterate as needed. Assess data requirements from internal and external sources. Collect, ingest, curate, annotate and build out taxonomies and ontologies. Execute a staged rollout based on a simple starter prototype. Instrument for metrics and key performance indicators (KPIs). Prepare people for new ways of collaborating with technology. Adapt processes, content and roles as needed. Periodically update functionality and training with new content based on learnings. Becoming a cognitive business in six steps 1 Develop your cognitive strategy 6 Measure outcomes 3 Apply cognitive technology 4 Engage your organization 5 Enhance cognitive capabilities based on learning 2 Evaluate and curate data World of Watson 2016
  • 14. Is someone else defining your industry? How much do you lose by not monetizing your data? Will your customers leave for competitors that engage more personally with them? What’s the cost of not being a cognitive business? 14 World of Watson 2016
  • 15. The Cognitive Business Narrative / 05.18.201615 http://ibm.biz/watsonmedtronic
  • 16. Notices and disclaimers Copyright © 2016 by International Business Machines Corporation (IBM). No part of this document may be reproduced or transmitted in any form without written permission from IBM. U.S. Government Users Restricted Rights - Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM. Information in these presentations (including information relating to products that have not yet been announced by IBM) has been reviewed for accuracy as of the date of initial publication and could include unintentional technical or typographical errors. IBM shall have no responsibility to update this information. THIS DOCUMENT IS DISTRIBUTED "AS IS" WITHOUT ANY WARRANTY, EITHER EXPRESS OR IMPLIED. IN NO EVENT SHALL IBM BE LIABLE FOR ANY DAMAGE ARISING FROM THE USE OF THIS INFORMATION, INCLUDING BUT NOT LIMITED TO, LOSS OF DATA, BUSINESS INTERRUPTION, LOSS OF PROFIT OR LOSS OF OPPORTUNITY. IBM products and services are warranted according to the terms and conditions of the agreements under which they are provided. IBM products are manufactured from new parts or new and used parts. In some cases, a product may not be new and may have been previously installed. Regardless, our warranty terms apply.” Any statements regarding IBM's future direction, intent or product plans are subject to change or withdrawal without notice. Performance data contained herein was generally obtained in a controlled, isolated environments. Customer examples are presented as illustrations of how those customers have used IBM products and the results they may have achieved. Actual performance, cost, savings or other results in other operating environments may vary. References in this document to IBM products, programs, or services does not imply that IBM intends to make such products, programs or services available in all countries in which IBM operates or does business. Workshops, sessions and associated materials may have been prepared by independent session speakers, and do not necessarily reflect the views of IBM. All materials and discussions are provided for informational purposes only, and are neither intended to, nor shall constitute legal or other guidance or advice to any individual participant or their specific situation. It is the customer’s responsibility to insure its own compliance with legal requirements and to obtain advice of competent legal counsel as to the identification and interpretation of any relevant laws and regulatory requirements that may affect the customer’s business and any actions the customer may need to take to comply with such laws. IBM does not provide legal advice or represent or warrant that its services or products will ensure that the customer is in compliance with any law. 16 10/27/2016World of Watson 2016
  • 17. Notices and disclaimers continued Information concerning non-IBM products was obtained from the suppliers of those products, their published announcements or other publicly available sources. IBM has not tested those products in connection with this publication and cannot confirm the accuracy of performance, compatibility or any other claims related to non-IBM products. Questions on the capabilities of non-IBM products should be addressed to the suppliers of those products. IBM does not warrant the quality of any third-party products, or the ability of any such third- party products to interoperate with IBM’s products. IBM EXPRESSLY DISCLAIMS ALL WARRANTIES, EXPRESSED OR IMPLIED, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. The provision of the information contained herein is not intended to, and does not, grant any right or license under any IBM patents, copyrights, trademarks or other intellectual property right. IBM, the IBM logo, ibm.com, Aspera®, Bluemix, Blueworks Live, CICS, Clearcase, Cognos®, DOORS®, Emptoris®, Enterprise Document Management System™, FASP®, FileNet®, Global Business Services ®, Global Technology Services ®, IBM ExperienceOne™, IBM SmartCloud®, IBM Social Business®, Information on Demand, ILOG, Maximo®, MQIntegrator®, MQSeries®, Netcool®, OMEGAMON, OpenPower, PureAnalytics™, PureApplication®, pureCluster™, PureCoverage®, PureData®, PureExperience®, PureFlex®, pureQuery®, pureScale®, PureSystems®, QRadar®, Rational®, Rhapsody®, Smarter Commerce®, SoDA, SPSS, Sterling Commerce®, StoredIQ, Tealeaf®, Tivoli®, Trusteer®, Unica®, urban{code}®, Watson, WebSphere®, Worklight®, X-Force® and System z® Z/OS, are trademarks of International Business Machines Corporation, registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the Web at "Copyright and trademark information" at: www.ibm.com/legal/copytrade.shtml. 17 10/27/2016World of Watson 2016

Editor's Notes

  1. The Intelligent Enterprise: Building a Cognitive Business
  2. DIGITAL BUSINESSES ARE DISRUPTING VIRTUALLY EVERY INDUSTRY AND PROFESSION   The world’s largest accommodation provider owns no real estate. The world’s most valuable retailer carries no inventory. The world’s largest taxi company owns no vehicles. The world’s most popular media owner creates no content. (SOURCE: TechCrunch “The Battle Is For The Customer Interface,” Tom Goodwin, March 3, 2015, https://techcrunch.com/2015/03/03/in-the-age-of-disintermediation-the-battle-is-all-for-the-customer-interface/)   These digital businesses are geared for disruption: They are technology based (app-based business models, for instance), liberating them from traditional constraints around overhead costs, logistics and so on. They can make nontraditional decisions, blurring the lines of category Business leaders know this. That’s why 54 percent of CxOs expect more competitors to come from outside their industry.1   1 IBM, Redefining Boundaries: Insights from the Global C-suite Study, November 2015.
  3. TOMORROW’S DISRUPTORS WILL BE ORGANIZATIONS THAT CAN CONVERGE DIGITAL BUSINESS WITH A NEW LEVEL OF DIGITAL INTELLIGENCE.   Tomorrow’s disruptors will marry the strengths of a digital business with the power of endless digital intelligence They will set their sights on going deeper and wider into their own data as well as third-party data. They will shorten the cycles between what they can learn from data and what game-changing actions they take. This result: a cognitive business that can think collectively and respond in whole new ways to the marketplace.
  4. 60% of cognitive early adopters believe cognitive computing is essential to tackling data challenges that conventional analytics cannot HOW YOU INVOKE INSIGHTS FROM ALL DATA WILL DETERMINE YOUR DIGITAL INTELLIGENCE   From the structured data you posses, such as customer records, to the data that exists beyond your firewall, such as social media and weather data, to the data that’s sits almost wholly untapped, your digital intelligence will determine your differentiation.
  5. COGNITIVE BUSINESS: DIGITAL BUSINESS + DIGITAL INTELLIGENCE   Our definition of a cognitive business is an organization that creates knowledge from data to expand virtually everyone’s expertise, continually learning and adapting to outthink the needs of the marketplace. These three elements are the roots of what becomes possible for cognitive businesses.
  6. A COGNITIVE BUSINESS HAS SYSTEMS THAT CAN ENHANCE DIGITAL INTELLIGENCE EXPONENTIALLY.   Key to attaining a richer digital intelligence are cognitive systems. With analytics, we get key insights from data, but with cognitive systems, we can turn those key insights into knowledge. Traditional computing is programmed (rules-based, logic-driven, dependent on organized information), but cognitive systems are probabilistic (they learn systematically, they are not dependent on rules, they handle disparate and varied data). Cognitive systems can understand unstructured information such as the imagery, natural language and sounds in books, emails, tweets, journals, blogs, images, sound and videos. They unlock meaning because they can reason through it, giving us new contexts to weigh and consider. Cognitive systems also learn continually, honing our own expertise so we can immediately take more informed actions. And they interact with us and with our customers, dissolving barriers between humans and machine, fueling unique, essential user experiences.
  7. [Not sure we need this slide] HOW ARE COGNITIVE SYSTEMS DIFFERENT?   The key reason cognitive businesses operate with an entirely different set of advantages is because they are using cognitive systems. Their abilities to get to data expand and deepen exponentially. They have programmed and probabilistic computing, giving them analysis plus hypotheses. They can interact with their business systems more naturally, more directly.
  8. Firmographics: Respondents are cognitive decision makers from organizations currently using cognitive technologies or planning to in next 2 years 6 countries (US, UK, China, Japan, India, Germany) IT & Line of business – from practitioners to C-level Enterprises with 100-10,000+ employees, across industries 10% C-level, 16% Executive, 24% Director, 40% Manager, 10% Non-manager 33% US, 17% China, 16% India, 14% Japan, 10% Germany, 10% UK (To smooth possible geographic distortions, responses were weighted based on an IBM assessment of each country’s total IT spend.) 55% line of business / 45% IT respondents 54% large enterprises (1000+) / 46% small and medium businesses 87% of users say outcomes from cognitive initiatives meet or exceed their expectations (25% say outcomes meet their expectations, and 62% say outcomes exceed their expectations)
  9. 53%-63% of early adopters cite “moderate-to-significant skill gaps” for these types of roles: computer scientists with AI skills, software developers, SMEs, data experts
  10. 53%-63% of early adopters cite “moderate-to-significant skill gaps” for these types of roles: computer scientists with AI skills, software developers, SMEs, data experts
  11. HOW WILL YOU GET STARTED?   Where do you start your own journey to solve the problems you’re facing down today yet in entirely new ways? The possibilities can seem endless, so narrow your focus. Not every problem you have is a cognitive problem to solve.
  12. Descriptive – Predictive - Cognitive We are on a path of gaining greater and greater value from data that has true business impact Our pursuit of digital business strategies have been rooted in the vast amount of data we have at our fingertips, and an orientation around leveraging data’s information to impact our business strategies. We recognize this as a descriptive model of data application. As the data explosion continues, the insights derived from data are where we have found the opportunities for innovation and differentiation. We’ve built amazing predictive models that have changed the way we work with data. As we enter the world of cognitive business, orienting around digital intelligence literally changes an organizations relationship to how they work with data, evolving it into a source of knowledge that if fundamentally integrated into a business through cognitive computing.
  13.   [A detailed look at how IBM helps clients build a sustainable cognitive strategy, tuned for their business and industry] Whether you are building an app or trying to transform your organization, think about these six steps
  14. WHAT’S THE COST OF NOT BEING A COGNITIVE BUSINESS?   What will happen if you don’t become a cognitive business? What are the consequences to your industry leadership? To your earning potential? To your competitive position? If you can think of consequences, when do you think they might start happening? Have they already begun?