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Big Data Anwendungen aus dem Bereich IT und Prozesse Astrid Smolarz, IBM Associate Partner Big Data & Analytics [email protected] 10. FaRis & DAV Symposium 10. Juni 2016, Köln

Big Data Anwendungen aus dem Bereich IT und Prozesse€¦ · Big Data Anwendungen aus dem Bereich IT und Prozesse. Astrid Smolarz, IBM Associate Partner. ... be an expert- - it’s

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Page 1: Big Data Anwendungen aus dem Bereich IT und Prozesse€¦ · Big Data Anwendungen aus dem Bereich IT und Prozesse. Astrid Smolarz, IBM Associate Partner. ... be an expert- - it’s

©2016 IBM Corporation

Big Data Anwendungen aus dem Bereich IT und ProzesseAstrid Smolarz, IBM Associate PartnerBig Data & [email protected]. FaRis & DAV Symposium10. Juni 2016, Köln

Page 2: Big Data Anwendungen aus dem Bereich IT und Prozesse€¦ · Big Data Anwendungen aus dem Bereich IT und Prozesse. Astrid Smolarz, IBM Associate Partner. ... be an expert- - it’s

©2016 IBM Corporation

Page 3: Big Data Anwendungen aus dem Bereich IT und Prozesse€¦ · Big Data Anwendungen aus dem Bereich IT und Prozesse. Astrid Smolarz, IBM Associate Partner. ... be an expert- - it’s

©2016 IBM Corporation

“You are terrified of your own children, since they are natives in a world where you will always be immigrants.“

A Declaration of the Independence of Cyberspace, John Perry BarlowDavos, Switzerland, February 8, 1996

Picture: from A Magazine Is an iPad That Does Not Work m4v https://www youtube com/watch?v=aXV yaFmQNk© 2016 IBM Corporation

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©2016 IBM Corporation

Insurance is largely reliant on human expertise and skills … even in an increasingly data rich world

2.5Bgigabytes of new data are generated every day, 4/5ths of which is unstructured

Scaling human expertise – for sales, customer service, underwriting and claims – is a challenge for most insurers

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©2016 IBM Corporation

Traditional enterprise data and analytics environmentsTypical enterprise data management environment

Staging area

Actionable insight

Enterprise warehouse Data mart

Data sources

Transaction andapplication data

Archive

Reporting and analysis

Predictive analytics and modeling

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©2016 IBM Corporation

Next generation architectureStarts from the current data management environment …

Enterprise warehouse

Information governance

Data mart

Analytic appliances

Information ingestion and operational information

Data sources

SYSTEMS—SECURITY—STORAGE

Transaction andapplication data

Enterprise warehouse

Data mart

Actionable insight

Reporting, analysis, content analytics

Predictive analytics and modeling

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©2016 IBM Corporation

Next generation architecture… adds new technologies and capabilities for exploration and advanced analytics …

Exploration, landing and

archive

Enterprise warehouse

Information governance

Data mart

Analytic appliances

Information ingestion and operational information

Data sources

SYSTEMS—SECURITY—STORAGE

Transaction andapplication data

Machine andsensor data

Enterprise content

Social data

Image and video

Third-party data

Enterprise warehouse

Data mart

Analytic appliances

Actionable insight

Reporting, analysis, content analytics

Predictive analytics and modeling

++

Discovery and exploration

+Empower Sellers byenabling collaborativeinsight into all aspects ofcustomers.

Provide 360° insight intoall data and tools allowingagents and other sellersto quickly segment theircustomers usingmeaningful criteria so thatthey could preciselytarget with relevant cross-and up-sell offerings

Decision management

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©2016 IBM Corporation

Next generation architecture… adds new technologies and capabilities for real-time analytics …

Exploration, landing and

archive

Enterprise warehouse

Information governance

Real-time analytics

Data mart

Analytic appliances

Information ingestion and operational information

Data sources

SYSTEMS—SECURITY—STORAGE

Transaction andapplication data

Machine andsensor data

Enterprise content

Social data

Image and video

Third-party data

Enterprise warehouse

Data mart

Analytic appliances

Actionable insight

Reporting, analysis, content analytics

Predictive analytics and modeling

Discovery and exploration

++

+

New Business Modelsusing Real-time informationfrom connected vehicles(telematics).

The current position of acar in combination withthe traffic situation allowsnew in-car servicesbeyond new insurancetariffs, e.g. support forfinding parking spaces,weather/traffic alarms,connection to Smart-Home.

Decision management

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©2016 IBM Corporation

Next generation architecture… uses Spark and Notebooks for exploration and machine learning

Exploration, landing and

archive

Enterprise warehouse

Information governance

Real-time analytics

Data mart

Analytic appliances

Information ingestion and operational information

Data sources

SYSTEMS—SECURITY—STORAGE

Transaction andapplication data

Machine andsensor data

Enterprise content

Social data

Image and video

Third-party data

Enterprise warehouse

Data mart

Analytic appliances

Actionable insight

Reporting, analysis, content analytics

Predictive analytics and modeling

Decision management

Discovery and exploration

+

+

Exploration and landing zone with

Spark

Exploration and Machine Learning with Notebooks

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©2016 IBM Corporation

Next generation architecture… adds new technologies and capabilities for decision management … and cognitive computing

Exploration, landing and

archive

Enterprise warehouse

Information governance

Real-time analytics

Data mart

Analytic appliances

Information ingestion and operational information

Data sources

SYSTEMS—SECURITY—STORAGE

Transaction andapplication data

Machine andsensor data

Enterprise content

Social data

Image and video

Third-party data

Enterprise warehouse

Data mart

Analytic appliances

Actionable insight

Reporting, analysis, content analytics

Predictive analytics and modeling

Decision management

Discovery and exploration

Cognitive

++

+

Improvement of Input-Management byautomatically analyzingCustomer communicationsand detecting complains ordispleasure.

Classification of textsallows mapping tobusiness concepts andsuitable actions. Answerscould be initiated directlyor brought to the attentionof the right people,increasing efficiency andcustomer satisfaction.

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©2016 IBM Corporation

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©2016 IBM Corporation

Cognitive vs. Traditional Computing SystemsThere are three capabilities that differentiate cognitive systems from traditional programmed computing systems

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ReasoningThey reason. They can understand information but also the underlying ideas and concepts. This reasoning ability can become more advanced over time. It’s the difference between the reasoning strategies we used as children to solve mathematical problems, and then the strategies we developed when we got into advanced math like geometry, algebra and calculus.

LearningThey never stop learning. As a technology, this means the system actually gets more valuable with time. They develop “expertise”. Think about what it means to be an expert- - it’s not about executing a mathematical model. We don’t consider our doctors to be experts in their fields because they answer every question correctly. We expect them to be able to reason and be transparent about their reasoning, and expose the rationale for why they came to a conclusion.

UnderstandingCognitive systems understand like humans do, whether that’s through natural language or the written word; vocal or visual.

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©2016 IBM Corporation

Consumer-facing virtual agents that serve, guide,

& advise on web or mobile

Employee-facing applications that enhance

consumer servicing for various enterprise users

Employee-facing applications that

optimize middle & back office processes

TransformedEngagement

Empowered Advisors

Optimized Operations

Cognitive Solutions Map to Specific Insurance Patterns

13© 2016 IBM Corporation

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©2016 IBM Corporation

Cognitive UnderwritingMake existing decisions smarter by incorporating insights from unstructured data

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Extract information from disparate submissiondocuments to prioritize and reduce time spentcollecting information.

Enhance examination of submission with deepanalysis of internal and external sources,including underwriting criteria, to create a morecomplete view of risk.

Create a comprehensive evaluation process tocollect, integrate, visualize and evaluate the risk

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©2016 IBM Corporation

• IBM and Swiss Re will work together to create an underwriting platform that will transform how reinsurance is underwritten and priced, it will help the underwriters more quickly identify and react to emerging trends; operational issues and other opportunities in order to provide optimal underwriting services for clients.

What we’re doing

• This solution is designed to be a companion to underwriters, providing immediate access to a wealth of information in order to help underwriters efficiently make a well-informed decision

• Swiss Re is the first reinsurance engagement of this type that we’ve announced. IBM recognizes the value that this technology brings to thisindustry and expects to see growing interest in this area as more organizations adopt cognitive

Our vision

Swiss-Re Taps IBM Watson to harness the power of cognitive computing for reinsurance

Link to press release: http://www.swissre.com/media/news_releases/Swiss_Re_to_work_with_IBM_Watson_to_harness_the_power_of_Big_Data_for_Reinsurance.html

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©2016 IBM Corporation16

Transform Underwriting Make existing decisions smarter by incorporating insights from unstructured data

© 2016 IBM Corporation

Case Underwriter

Review Application Completeness

Review and Apply Underwriting Guidance

Recommend Underwriting Decision

Impact future underwriting decisions with continuous

learning and training

Learn

Combine internal, external, structured and unstructured data for deeper insights into

individual risks

Reason

Automate the extraction, and processing of submission data

Understand

Summarize & extract information from

submission

Enrich submissions by combining internal and

external data

Evaluate products for performance and key

metrics

Support decision making with insights

from precedence

Improve decision making with continuous

learning

Cognitive Underwriting

Structured Data

Application Documents

Historical Data & UW notes

Social Data Loss History

Inspection Reports

Example Customer Data

Public Medical Literature

Watson Health Data

WikipediaDBPedia

Public Financial Data

Historical Public Submissions

Weather Patterns

Example Watson Data

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©2016 IBM Corporation

Cognitive Claims ManagementUse cognitive to consistently and efficiently address the claimant’s demands

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InsuranceTelematic

Claimee

SurveyorSecond-hand car market

Service provider

Mobile

The insurance company is the key player and data hub in the cognitive and telematicera

Simplify the collection, triage and review of claims cases - structured and unstructured content

Leverage all relevant and available data to gain a competitive advantage in a fast moving industry

PortfolioHistoryPreferences

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©2016 IBM Corporation

Be able to predict every single data point right at the beginning of the claimhistory

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Cost of repairReplacement valueSalvage value

Prediction

Find cost optimal strategy - e. g. fictitious bid Save cost for service provider Cognitive individual claims management

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©2016 IBM Corporation

Watson Digital Virtual AgentProviding the expertise and assurance at scale

Engage in conversations about complexindustry-specific topics by providing on-demand access to advisor experience

Deliver a highly personalized, guided or un-guided, customer experience through apreferred channel of interaction andcustomized visualizations for every client

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©2016 IBM Corporation

Watson as Digital Virtual Agent - FlexRate Demo https://www.youtube.com/watch?v=j0hhE80Pb1g

Image: http://www.userstudio.fr/blog/withings-aura-iphone-app-ces2014/sp-content/blog/52/images_534548bbf3411_5.jpg © 2016 IBM Corporation

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©2016 IBM Corporation21

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©2016 IBM Corporation

Leverage Watson APIs to Apply Cognitive Capabilities.Watson APIs are the cognitive building blocks that harness our data.

Message Resonance Concept Expansion Face Detection Natural Language Classifier Speech to Text Text to Speech Language Translation Language Detection Sentiment Analysis Dialog Retrieve and Rank Image Link Extraction Tradeoff Analytics Entity Extraction Tone Analyzer

Personality Insights Taxonomy Author Extraction Concept Tagging Relationship Extraction Concept InsightsRelationship Extraction Question & Answer Feed Detection Keyword Extraction Visual Recognition Image Tagging Text Extraction

Retrieve and Rank

Natural Language Classifier

Tone Analyzer

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Check out Watson Developer Cloud: http://ibm.biz/WatsonDev

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©2016 IBM Corporation

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©2016 IBM Corporation

• is the new competitive advantage forinsurance companies

• transforming and redefining the wayprofessionals operate

• gives your organization an incredible edgein solving tomorrow‘s challenges

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Astrid SmolarzIBM Global Business [email protected]

Alexander SchäperIBM Cognitive Solutions [email protected]

Big Data and Cognitive Computing