mark wall presentation at the chief data scientist europe 2016
TRANSCRIPT
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Considerations for the Chief Data Scientist
COGNITIVE BUSINESS
Mark WallPartner, IBM Global Business Services
August 2016 @fastbigdata
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OutlineCognitive Business context Considerations for the Chief Data ScientistCognitive – distinction or continuum from Data Science?How to begin your Cognitive journey
“The productivity slowdown represents a loss of as much as $3 trillion annually in commercial output from 2004 to 2015”.
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The Solow paradox
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Facebook Data Scientist salary averages £237,000 pa[link]
The rise of the Chief Data Scientist and a war on talent“We would have more if the talent was there to be had. Last year, the cost of a top, world-class deep learning expert was about the same as a top NFL quarterback prospect. The cost of that talent is pretty remarkable.”
Peter Lee, head Microsoft Research
Analysts IDC predict that by 2018 half of all developer teams will embed “cognitive services” in their apps, up from 1% today (largely based on AI and machine learning technologies) saving $60bn pa by 2020 [link]
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Views from COO and CEO
Fox, Bob; Ravesh Lala; Owen C. Coelho; Rob van den Dam; and Sandipan Sarkar. “Dialing in a new frequency: Your cognitive future in the communications industry.” IBM Institute for Business Value. December 2015. ibm.com/ business/value/cognitivecommunications
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Shifting the bell curve of performance
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Watson Virtual Agent
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Watson Virtual AgentWith pre-built starter content and ontologies1.Add your own models and data 2.Add external API’s e.g. Computer Vision*, Speech to text, maps 3.Automate your business process and reduce cost to serve
*Computer vision & other Alchemy PhD API’ssee http://blog.alchemyapi.com/the-rise-of-the-phd-apis-new-api-economy
9 Source: IBM Institute for Business Value.
2020 CSP benefits both its customers and an extended ecosystem
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Design Thinking: People-oriented methods
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To outthink challenges, competitors and limits, you must conceive of new opportunities you couldn’t imagine before.
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Reinventing content: Speech to Text, Concept Extraction, Machine Vision at scale
Read more: http://uk.businessinsider.com/ibm-watson-and-ted-talks-2015-5#ixzz3bYHjYiIO*Source: Floridi, Luciano (2014) The Fourth Revolution: How the Infosphere is Reshaping Human Reality
http://watson.ted.com/welcome/
Analysing data from sensors embedded in KONE’s equipment helping to identify and predict issues
Instead of having to send in a service engineer, engineers work with Cognitive analytics to predict and resolve selected technical issues remotely by sensing and deciding on action algorithmically over the Cloud
Reducing downtime, increasing successful outcomes per engineer per day.
Source: Based on a news article originally printed in Fierce Mobile: http://www.fiercemobileit.com/story/ibm-inks-major-watson-iot-deals-finnish-firms/2016-02-19?eid=4437
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Real example of Cognitive Algorithmics: Next time you step into a lift…
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Competitors will continue to accelerate disruption and blur the lines among categories
“The biggest threat is new competitors that aren’t yet classified as competitors.”
—Piotr Ruszowski, chief marketing officer,Mondial Assistance, Poland
expect more competitors from outside their industry, while only 29 percent expect more competition from within their industry.
54%of CxOs
SOURCE cited in notes
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Three- to five-year strategiesfor CxOs:
They’ll be hampered by limited insights when only:
CxOs sense the opportunity, but are limited by lack of visibility
80 percent are set on being the first to market with innovation
66 percent plan to focus more on customers as individuals
81 percent expect to shift to more digital, virtual client engagement models
51 percent draw on customer feedback
39 percent draw from adjacent industries
29 percent draw from blogs and social media sites
SOURCES cited in notes
+
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+
Your digital intelligence is your competitive advantage
Structured and active Unstructured and dark
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Think of all that has been accomplished using only
a fraction of the available data
Unlock the possibilities.
Only cognitive unlocks the potential in all data
What answers lie in the
88% that is dark?1
By the year 2020, about 1.7 MB of new information will be created every second, for every human being on the planet.2
SOURCES cited in notes
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Cognitive systems are fundamentally different from what you have today
Adapt and make sense of all data; “read” text, “see” images and “hear” natural speech with context
Understand
Reason Interpret information, organize it and offer explanations of what it means, with rationale for the conclusions
Learn Accumulate data and derive insight at every interaction, perpetually
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Add completely new abilities to your business technologies
Programmable computing responds to requests and makes determinations, analyzing data according to predefined parameters.
Cognitive systems
interact with humans naturally to interpret data,
learning from virtually every interaction and proposing new possibilities through
probabilistic reasoning.
Shift technology’s role
from enabler to advisor
Cognitive business The next evolution of human
and systems capabilities, where technology enhances, scales and
accelerates human expertise
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Enhance, scale and accelerate human expertise to empower all people, all roles.
Go beyond analysis to hypothesis, conclusion and action—in weeks instead of months or years
Collate decades of knowledge and data to create an evidence-based, virtual advisor and elevate entire
teams to the level of your best experts
Teach your system to learn and uncover patterns and insights from all kinds of information such as research data, images and notes
Build workflows that can be coached by humans to grow ever more effective, safe or productive with each interaction
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INTERACT
SENSE
Ontologies Knowledge graphsConcept Extraction
Semantic Web
DECIDE
Sour
ce: A
dapt
ed fr
om C
ollin
s, R
. (20
14) G
over
nanc
e in
the
age
of B
ig D
ata
–A P
oint
of V
iew
(IB
M G
BS
)
UNDERSTAND & INFER
Role of Cognitive
Learning from interaction
Manage Cognitive
Considerations for the CDO: The role of analytics, BI and cognitive in performance management UNDERSTAND &
DECIDE
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The role of analytics, information in Cognitive Business• Analytics objective: “Better” decision making leading to better business outcomes• Cognitive is different
• scales the organization aptitude for total and instant recall of all available knowledge • Supports real time decision making and learning across the Enterprise in discursive interactive
manner: Natural Language Processing + Machine Learning• Influence decisions directly inside the process or longer term exploration and discovery to allow the
improvement of processes• Cognitive capability is a learning capability.• Analytics is Determinative in decision making (prescriptive analytics) • Cognitive tends to influencing “soft” human expert decision processes either individual or
collective.• Quality of the decision depends on the quality of the data and information used and the power of the
analytic test or technique used• Not only do business need to understand how information and analytics support decision making and
risk taking but increasingly need to justify this to regulators and others
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Distinction of Analytics+BI and Cognitive Analytics & BI Cognitive
Data Structured, 4’Vs, metadata, integration, data movement
Corpus, concept extraction and understanding, semantics;RDF’s Cognitive API’s & Algorithmics “Just add data”, interoperability of processes through data
Models ETL, Normalisation, batch, procedural
Unstructured, analytics as the model, Machine learning and Natural Language Processing, on-demand, linked data, federated, information inference
Answers Deterministic, rules driven, data driven
Probabilistic, data ‘aware’
Impact on Governance
roles
Stewardship of Data processes (lineage)
Additional Stewardship of Data Provenance; ability to explain how the answer was derived on demand at a particular point in time;
Architectures ETL, EDW, 3NF Ontologies, Data Fabric
Services Reporting, Service Oriented architecture (SOA)
Decomplet Micro services; Service Enabled Architecture; Resource Oriented Architecture (ROA) & RDF’s
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…Predictive analytics weaved together with Cognitive analytics to personalize and enhance the experience
Customer Segmentation
ActionClustering
Personality Analytics
Sentiment Analytics
ImageRecognition
Next BestAction
Predictive Analytics Cognitive Analytics
Internal Data Syndicated Data Social Data Device Data
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Today’s industry leaders recognize the gap in their organizations’ abilities
50%say available data limits confidence in strategic decisions
95% plan to invest in cognitive
Healthcare
SOURCES cited in notes
believe they can’t deliver on consumer expectations
94% plan to invest in cognitive
Retail
60% 30%say the quality of data is insufficient for business model innovation
98% plan to invest in cognitive
Insurance
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Seize opportunities for disruption before your competitors do
Amplify knowledge,reimagine workflows
Transform the enterprise
Cogn
itiv
e Bu
sine
ss
Accelerate learning andscale expertise
Institute processes and operations with learningbuilt in
Deepen relationships through interactive, personal engagement
Develop applications, products and services that read, see, talk, hear and learn
Discover and explore intelligently to unlock new business models and accelerate evolution
Become indispensable to users and customers
Give workflows cognitive capabilities
DataIBM Watson Developer Cloud IBM Bluemix®
IBM Watson Ecosystem
Build cognitive applications today with Watson APIs
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Data
IBM Cognitive Business Solutions
Watson Engagement Advisor
Watson Health
Watson Discovery Advisor
IBM Power Systems™ and Storage
IBM Global Technology Services
Construct a cognitive system
Activate cognitive technology in your business with the right ingredients
Hybrid Cloud Infrastructure (SoftLayer®, IBM Systems)
Security Intelligence (QRadar®)
DataIBM Marketing and Commerce clouds IBM advanced analytics solutions
Partner apps, Powered by Watson
IBM Internet of Things Foundation
Watson Explorer
IBM Global Business Services
IBM Global Technology Services
Outthink boundaries and unleash new opportunities with IBM
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IBM Watson portfolio
IBM strategic and data partnerships
IBM Watson Ecosystem
IBM Watson Developer Cloud
IBM cognitive expertise and research
The cognitive era is here. You must be an active participant in it to be a beneficiary of it.
@FastBigData 30
Welcome to the cognitive era
Join us on the journey
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Trademarks and notes
IBM Corporation 2016
• IBM, the IBM logo, ibm.com, and Watson are trademarks or registered trademarks of International Business Machines Corporation in the United States, other countries, or both. If these and other IBM trademarked terms are marked on their first occurrence in this information with the appropriate symbol (® or ™), these symbols indicate U.S. registered or common law trademarks owned by IBM at the time this information was published. Such trademarks may also be registered or common law trademarks in other countries. A current list of IBM trademarks is available on the Web at “Copyright and trademark information” at www.ibm.com/legal/copytrade.shtml.
• Other company, product and service names may be trademarks or service marks of others.
• References in this publication to IBM products or services do not imply that IBM intends to make them available in all countries in which IBM operates.
Appendix
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Pick your starting point
Evaluate and curate data and knowledge
Ready your organization
Apply cognitive technology
Enhance and expand
“I want to become indispensable to users and customers.”Build cognitive apps today with Watson APIs
Select the appropriate Watson APIs to build your cognitive app; identify the knowledge and content to form a knowledge base - collect both internal and external data sources.
Configure and train new cognitive applications.
Test and validate your new cognitive app through end user engagement.
Validate usage benefits. Deploy and expand to other domains across the organization.
“I want to amplify knowledge and reimagine workflows.”Give workflows cognitive capabilities
Locate and curate data; identify gaps and prepare for integration with existing systems.
Define the community and implementation plan – emphasizing the newvalue from cognitive workflows.
Deploy and manage, while driving usage and iterative learning.
Decide if the cognitive workflow you’ve deployed creates new opportunities for further development and adoption.
“I want to transform the enterprise.”Construct a cognitive system
Complete formal strategy assessment. Collect, ingest, curate, annotate and build out enterprise-wide taxonomies and ontologies.
Adopt and invent all-new processes, content and roles that will enable you to think and act differently in a cognitive era.
Define and execute staged roll-out. Instrument metrics and KPIs.
Collect and address metrics and KPIs. Periodically update functionality and training to tune for new content. When ready, deploy and expand to other domains.
Assess your foundation Data Development Hybrid cloud
infrastructure Security Education
Develop your cognitive strategy
Identify a problem to solve that will lead to critical breakthrough
opportunities.
Cast a vision. State a clear use case, secure
executive support, plan for adoption and
deployment.
Champion a new culture. Prepare
people for new ways of collaborating with
technology.
How to begin your cognitive journey
Let cognitive abilities take root to set disruption in motion.
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“IBM’s Watson is already being used to apply cognitive computing in a wide range of industries and technologies, from education to banking to winemaking to urban planning, and so much more.” Fast Company
“Cognitive everything—by 2018, over 50 percent of developer teams will embed cognitive services in their apps (versus 1 percent today), providing U.S. enterprises with over USD$60 billion in annual savings in 2020.” IDC
“We wanted it to be more personal and intuitive with natural language…. the results change dramatically as more questions are asked. And customers can ask questions which would not be possible with filters.” Cal Bouchard, The North Face
SOURCES cited in notes