Download - Thurs,june26 900am-aig keynote
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Cautionary Statement Regarding Forward-Looking InformationThis document and the remarks made within this presentation may include, and officers and representatives of American International Group, Inc. (AIG) may from time to time make, projections, goals, assumptions and statements that may constitute “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995. These projections, goals, assumptions and statements are not historical facts but instead represent only AIG’s belief regarding future events, many of which, by their nature, are inherently uncertain and outside AIG’s control. These projections, goals, assumptions and statements include statements preceded by, followed by or including words such as “believe,” “anticipate,” “expect,” “intend,” “plan,” “view,” “target” or “estimate”. It is possible that AIG’s actual results and financialcondition will differ, possibly materially, from the results and financial condition indicated in these projections, goals, assumptions and statements. Factors that could cause AIG’s actual results to differ, possibly materially, from those in the specific projections, goals, assumptions and statements include: changes in market conditions; the occurrence of catastrophic events, both natural and man-made; significant legal proceedings; the timing and applicable requirements of any new regulatory framework to which AIG is subject as a non-bank systemically important financial institution and as a global systemically important insurer; concentrations in AIG’s investment portfolios; actions by credit rating agencies; judgments concerning casualty insurance underwriting and insurance liabilities; judgments concerning the recognition of deferred tax assets; and such other factors discussed in Part I, Item 2. Management’s Discussion and Analysis of Financial Condition and Results of Operations (MD&A) in AIG’s Quarterly Report on Form 10-Q for the quarterly period ended March 31, 2014 and in Part I, Item 1A. Risk Factors and Part II, Item 7. MD&A in AIG’s Annual Report on Form 10-K for the fiscal year ended December 31, 2013. AIG is not under any obligation (and expressly disclaims any obligation) to update or alter any projections, goals, assumptions or other statements, whether written or oral, that may be made from time to time, whether as a result of new information, future events or otherwise.
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The World of
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Our Future and FocusWe’ll be there when ourcustomers need us, helpingthem recover and realizetheir idea of a better tomorrow.
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We live in a world ofprofound change...
Over 90% of the world’s data was created in the last 2 years
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AIG’s Global Transformation has...
NEWHUMAN CAPITAL
STRUCTURE
NEWPROCESSES &TECHNOLOGY
NEWSCIENCE &ANALYTICS
� Similar as they need to be, different as they have to be� Standardization is not mutually exclusive of customization
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The model has changed
CUSTOMIZATION STANDARDIZATION
REGION
COUNTRY
LOB GLOBAL
LOB
COUNTRY
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Segmentation, matching severity withexpertise, drives value
CASUALTY
EXPRESS MAJOR COMPLEX
Multiple LOB
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We run a factory of decision makers
TIME
EXPRESS
COMPLEX
MAJOR
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AIG’s Global Transformation has...
NEWHUMAN CAPITAL
STRUCTURE
NEWPROCESSES &TECHNOLOGY
NEWSCIENCE &ANALYTICS
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Pivotalrole of theClaimsAdjusterManagingloss costsand providingfeedback
FRAUD
MED MGT
SUBRO
LIT MGMT
SALES
U/W
CUSTOMER
ACTUARIAL
CLAIMSADJUSTER
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Expanding Shared ServicesRight Skill in the Right Place
2500724
16522000
2000
0 2,000 4,000 6,000 8,000 10,000
2015201420132012< 2011
Claims and O&S employees transitioning to Shared Services
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AIG’s Global Transformation has...
NEWHUMAN CAPITAL
STRUCTURE
NEWPROCESSES &TECHNOLOGY
NEWSCIENCE &ANALYTICS
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Using Science and analytics tobetter understand claims
SeverityModeling
AdjusterPerformance AIG WayLeakage
Prevention
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Claims Triage Model
Mitigate risk,
get peoplehealthier,
faster
Routecomplex
casesappropriately
Identifydynamicpathways
early
INDEXED AVERAGE CLAIM COST ~57% of costs
Less than 2% of costs
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Fraud Analytical Platform
Model Referrals to Recovery
PREDICTIVE MODELS
MACHINE LEARNING
LINK ANALYSIS
PATTERN ANALYSIS
RULE ENGINE/DECISION TREE
EXTERNAL DATA
WORKERS COMP FRAUD MODEL REFERRAL PERFORMANCE (HIT RATE)
Claim
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Transformation manifestsexternally long after felt internally
IDEATIONIDEATION
PROTOTYPEPROTOTYPE
IMPLEMENTATIONIMPLEMENTATION
EXECUTIONEXECUTION
RESULTSRESULTS
TIME
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