This document discusses how cognitive computing using IBM Watson can transform various areas of the insurance industry by going beyond traditional predictive analytics. It provides examples of how Watson can be used for underwriting advisors, wealth advisors, customer self-service virtual agents, claims adjusting, and other areas. Watson understands natural language, generates hypotheses, and learns as it analyzes large amounts of structured and unstructured data. This allows it to help insurance professionals make more informed decisions.
Big data in action - Watson in banking Wealth management IBM Thailand Co Ltd
Article on usecase of IBM Watson in Banking for Wealth Management by McNab, Dave (D.B.), Executive Consultant, Business Analytics and Strategy, Global Business Services - IBM Canada.
Deepening Client Relationships in Financial ServicesNexJ Systems Inc.
The financial services industry has radically changed due to product homogenization and customers empowered to obtain information and make decisions on their own. To retain clients and grow assets, advisors need to deepen client relationships to differentiate their service offering and improve the customer experience.
In this session, Bryan Sachdeva, Director of Products at NexJ Systems, discusses how firms can:
- Better understand customers with a comprehensive customer view
- Provide superior service across the entire client lifecycle
- Improve advisor productivity so they can focus on building trusting client relationships
Transforming Insurance Risk Assessment with Big Data: Choosing the Best PathCapgemini
Insurers are realizing that big data has the potential to create competitive advantage. There is a gold mine of information residing across the large volumes of data available in multiple sources and disparate formats, if only it can be efficiently mined to support key operational decisions and improve the customer experience. Commercial risk assessment is data intensive and ripe for the incorporation of real-time external data. In this paper, we explore the ways commercial insurers can gain accurate and comprehensive risk assessments when underwriting policies by using big data.
Big data in action - Watson in banking Wealth management IBM Thailand Co Ltd
Article on usecase of IBM Watson in Banking for Wealth Management by McNab, Dave (D.B.), Executive Consultant, Business Analytics and Strategy, Global Business Services - IBM Canada.
Deepening Client Relationships in Financial ServicesNexJ Systems Inc.
The financial services industry has radically changed due to product homogenization and customers empowered to obtain information and make decisions on their own. To retain clients and grow assets, advisors need to deepen client relationships to differentiate their service offering and improve the customer experience.
In this session, Bryan Sachdeva, Director of Products at NexJ Systems, discusses how firms can:
- Better understand customers with a comprehensive customer view
- Provide superior service across the entire client lifecycle
- Improve advisor productivity so they can focus on building trusting client relationships
Transforming Insurance Risk Assessment with Big Data: Choosing the Best PathCapgemini
Insurers are realizing that big data has the potential to create competitive advantage. There is a gold mine of information residing across the large volumes of data available in multiple sources and disparate formats, if only it can be efficiently mined to support key operational decisions and improve the customer experience. Commercial risk assessment is data intensive and ripe for the incorporation of real-time external data. In this paper, we explore the ways commercial insurers can gain accurate and comprehensive risk assessments when underwriting policies by using big data.
HVCRE (high volatility commercial real estate): A PrimerLibby Bierman
In this webinar from Sageworks we cover the definition of High Volatility Commercial Real Estate (HVCRE) and best practices for mitigating concentration risk at banks and credit unions. Access this and other webinars at https://www.sageworks.com/banking/resources/bank-webinars/
In a recent poll, 42% of bankers indicated that commercial real estate is the primary focus for growth in the loan portfolio. At the same time, regulators are concerned that CRE may be overheating as lending standards have eased and CRE portfolios have experienced significant growth.
Online businesses are struggling to deal with ever increasing and complex amounts of information – from Google Analytics, to e-commerce to internal data. This presentation will highlight how data visualization can allow everyone within an organization to access and understand e-commerce data in order to gain actionable insights, make informed decisions, and drive better results.
Big Data Day LA 2015 - Data Science ≠ Big Data by Jim McGuire of ZestFinanceData Con LA
Many people think success in data science is all about big data – being able to manipulate extremely large volumes of information and scale black box algorithms. This is not always the case. Getting data science right isn’t a matter of the volume of data you have. It’s about understanding the quality of data you’re working with and knowing exactly what to look for in that data set. Data scientists are artists who use human skill and intuition to build effective models. In this talk, ZestFinance will discuss the distinction between big data and data science and share examples of how data science techniques can be used to provide insights that help predict risk, revenue outcomes and click-through behavior.
AI Underwriting Case Study for Life Insurance company Artivatic.ai
AUSIS (AI Underwriting Platform) helped a Life Insurance Giant in India to improve their complex underwriting journey to be simple, automated & in real- time.
Life Insurance companies are regulated by IRDA in India and also life insurance companies uses old age legacy processes, systems, risk assessment models and rule based outcome.
To know more, write to contact@artivatic.ai or visit www.artivatic.ai
Apply AI to resolve client management issues in Wealth ManagementKeyur Patel
"YES" time has come to realize the AI solution in Wealth Management. This presentation is answering a simple question in every WM mind, How AI can help in Facing/reducing some of the client Management Issues? It has some of the key drivers describing need to implement the AI solution in WM journey. Hope it finds useful.
Presented on May 7, 2015 to the TechChange Technology for M&E course. The aim of the presentation was to highlight key considerations in designing visualizations as part of international development programs, and includes both challenges of visualization in development programs and six things to consider when designing visualizations.
Presentation by Richard D. Kahlenberg for the Looking Back, Moving Forward Conference - March 2013, University of Richmond and Virginia Commonwealth University
A presentation given in Denmark, introducing cognitive computing, highlighting potential benefits and early use-cases in insurance with IBM Watson. The presentation included demos.
Link to youtube video of FlexRate Insurers self-service demo: https://www.youtube.com/watch?v=8xRN9RzpVBE&spfreload=10
Link to IBM Watson white paper on Cognitive Computing in Insurance:
HVCRE (high volatility commercial real estate): A PrimerLibby Bierman
In this webinar from Sageworks we cover the definition of High Volatility Commercial Real Estate (HVCRE) and best practices for mitigating concentration risk at banks and credit unions. Access this and other webinars at https://www.sageworks.com/banking/resources/bank-webinars/
In a recent poll, 42% of bankers indicated that commercial real estate is the primary focus for growth in the loan portfolio. At the same time, regulators are concerned that CRE may be overheating as lending standards have eased and CRE portfolios have experienced significant growth.
Online businesses are struggling to deal with ever increasing and complex amounts of information – from Google Analytics, to e-commerce to internal data. This presentation will highlight how data visualization can allow everyone within an organization to access and understand e-commerce data in order to gain actionable insights, make informed decisions, and drive better results.
Big Data Day LA 2015 - Data Science ≠ Big Data by Jim McGuire of ZestFinanceData Con LA
Many people think success in data science is all about big data – being able to manipulate extremely large volumes of information and scale black box algorithms. This is not always the case. Getting data science right isn’t a matter of the volume of data you have. It’s about understanding the quality of data you’re working with and knowing exactly what to look for in that data set. Data scientists are artists who use human skill and intuition to build effective models. In this talk, ZestFinance will discuss the distinction between big data and data science and share examples of how data science techniques can be used to provide insights that help predict risk, revenue outcomes and click-through behavior.
AI Underwriting Case Study for Life Insurance company Artivatic.ai
AUSIS (AI Underwriting Platform) helped a Life Insurance Giant in India to improve their complex underwriting journey to be simple, automated & in real- time.
Life Insurance companies are regulated by IRDA in India and also life insurance companies uses old age legacy processes, systems, risk assessment models and rule based outcome.
To know more, write to contact@artivatic.ai or visit www.artivatic.ai
Apply AI to resolve client management issues in Wealth ManagementKeyur Patel
"YES" time has come to realize the AI solution in Wealth Management. This presentation is answering a simple question in every WM mind, How AI can help in Facing/reducing some of the client Management Issues? It has some of the key drivers describing need to implement the AI solution in WM journey. Hope it finds useful.
Presented on May 7, 2015 to the TechChange Technology for M&E course. The aim of the presentation was to highlight key considerations in designing visualizations as part of international development programs, and includes both challenges of visualization in development programs and six things to consider when designing visualizations.
Presentation by Richard D. Kahlenberg for the Looking Back, Moving Forward Conference - March 2013, University of Richmond and Virginia Commonwealth University
A presentation given in Denmark, introducing cognitive computing, highlighting potential benefits and early use-cases in insurance with IBM Watson. The presentation included demos.
Link to youtube video of FlexRate Insurers self-service demo: https://www.youtube.com/watch?v=8xRN9RzpVBE&spfreload=10
Link to IBM Watson white paper on Cognitive Computing in Insurance:
From the conference Future Tech in Insurance at Forsikringsakademiet, nov 15 2016. Defining cognitive and how that is relevant for insurance companies.
Productionising Machine Learning to automate the enterprise. Conference research question: How can you pin-point which core business processes to transform with increased automation and streamline daily workflows to boost in house efficiencies?
The project provides an in-depth analysis of an IT Strategy for ISO insurance company which specializes in providing student insurance to international students studying in the US.
Artificial intelligence (AI) currently being used by insurance companies has failed to remove gender bias from the profession’s claims, underwriting and marketing processes.
A Chartered Insurance Institute (CII) report tells insurers they must tackle these gender biases. The report found that the datasets used to train the algorithms which support AI systems are rooted in outdated gender concepts. Algorithms learn by being trained on historic data but the report notes more and more of that data is now unstructured, coming from text, audio, video and sensors.
Yet the report warns embedded in that historic data are decisions based upon historic biases, particularly around gender. The report concluded insurance firms need to prepare a structured response to this issue, starting with visible leadership on tackling gender bias in AI.
Webinar Deck for 2018 Health Technology & Impact on InsuranceThe Digital Insurer
Listen to an experienced, global panel of insurance professionals present, discuss and answer your questions on the theme of “Health Technology & Impact on Insurance”.
Brought to you by The Digital Insurer and sponsored by KPMG.
Machine learning is all around us. It is driving familiar B2C brands like Amazon and Google. And it is now driving our Quote-to-Cash process. Learn how to streamline and run a global sales operations organization leveraging machine learning to increase sales efficiency and to increase margins and revenue.
Transforming Business with Cognitive APIs: What Innovative Business Strategie...IBM Watson
Watch the on-demand replay of the webcast here: https://www.youtube.com/watch?v=hIN1RjxOFTk
AI, machine learning and over 50 technologies behind Watson cognitive computing are ushering in a new era of technology that will reshape our human-computer interactions in business and in science. Join this Executive Webcast Series to hear insights, guidance and vision from some of our Watson leaders on Why, What and How cognitive APIs are being applied for business value and transformation.
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top nidhi software solution freedownloadvrstrong314
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Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
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Demo of an end-to-end app built and deployed on Choreo.
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Unleash Unlimited Potential with One-Time Purchase
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AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
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https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
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✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
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See My Other Reviews Article:
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The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies.
However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
Stay Informed on Threat Actors’ Activity on the Dark Web with SOCRadar!
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OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
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CyanicLab, an offshore custom software development company based in Sweden,India, Finland, is your go-to partner for startup development and innovative web design solutions. Our expert team specializes in crafting cutting-edge software tailored to meet the unique needs of startups and established enterprises alike. From conceptualization to execution, we offer comprehensive services including web and mobile app development, UI/UX design, and ongoing software maintenance. Ready to elevate your business? Contact CyanicLab today and let us propel your vision to success with our top-notch IT solutions.
3. Watson is a cognitive technology that processes
information more like a human than a computer—by
understanding natural language, generating
hypotheses based on evidence and learning as it goes.
4. Cognitive Computing in Insurance
4
Cognitive
How can we learn dynamically?
Prescriptive
How can we achieve the best
outcome?
Predictive
What could happen?
Descriptive
What has happen?
How can everyone
be more right…
…more often?IBM Analytics
Learning Models
Experience Memory
Feedback mechanisms
Rules
Optimization Models
Recommendations
Predictive Models
Scores
Forecasts
Reports
Dashboards
Visualization
13. Watson is creating a new partnership
between people and computers
that enhances, scales and accelerates
human expertise.
Tabulating
Systems Era
Cognitive
Systems Era
1900
Programmable
Systems Era
1950 2011
14. Corpus
Manuals, FAQs, and
reading lists; i.e. body of
knowledge
Representative Questions
The questions asked to gain
knowledge and competence i.e.
set Ground Truth
Trained Watson
Ready to be put to work
i.e. use knowledge to
learn more and answer
different questions
Watson is Schooled
Watson is taught, not programmed
Cognitive Computing in Insurance
17. Explore - find and aggregate information
Visualize, and discover
insight in unstructured
data through NLP and
text analytics, Content
analytics and cognitive
insights
Explore information from
internal and external
content including
unstructured text, emails,
call center records…
Apply cognitive
capabilities to enhance,
scale, and accelerate
human expertise
Explore
Analyze
Interpret
Cognitive Computing in Insurance