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Ar#ficial Intelligence Nicholas Hartley Head of Business Improvement and Innova8on An Introduc8on

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Page 1: Artificial Intelligence v0Smart Dust 4D Printing Quantum Computing Autonomous Vehicles Cognitive Computing Blockchain Drones (UAVs) Machine Learning Deep Learning Connected Home Smart

Ar#ficialIntelligenceNicholasHartleyHeadofBusinessImprovementandInnova8on

AnIntroduc8on

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INTRODUCTION

NICHOLASHARTLEYHEADOFBUSINESS

IMPROVEMENTANDINNOVATION

• 25YEARSINSURANCEEXPERIENCEINBOTHBROKINGANDUNDERWRITINGROLES

• 5YEARSINTHEBRITISHARMY,ROYALENGINEERS

•WORKEDFORALLIANZ,AIG,STERLINGANDNOWECCLESIASTICAL

• NOWPROMOTEINNOVATIONACTIVITIESACROSSTHEGROUPFOCUSINGONNEWIDEAS,PRODUCTDEVELOPMENT,ANDADOPTIONOFNEWANDEMERGINGTECHNOLOGIES

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OBJECTIVES

• WHATISAI?

• IT’SHISTORY

• THEDIFFERENTTYPESOFAI

• USECASES

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Ar8ficialintelligenceistechnologythatappears

toemulatehumanperformancetypicallybylearningandcomingtoits

ownconclusions

WHATISAI?

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AITIMELINE

Computerscien8st,AlanTuringissuedapaperonar8ficialintelligencecalledtheImita8onGamethatproposedatestformachineintelligence.

1950 AlanTuring

TheTuringTest

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AITIMELINE

Thetermar#ficialintelligenceiscoinedbycomputerscien8st,JohnMcCarthytodescribethe“scienceandengineeringofmakingintelligentmachines”.

1955 ‘AI’isborn

Ref:h]ps://digitalintelligencetoday.com/ar8ficial-intelligence-8meline-infographic-from-eliza-to-tay-and-beyond/

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AITIMELINE

Firstindustrialrobot,UnimategoestoworkatGeneralMotorsreplacinghumansontheassemblyline.

1961 Unimate

Ref:h]ps://digitalintelligencetoday.com/ar8ficial-intelligence-8meline-infographic-from-eliza-to-tay-and-beyond/

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PioneeringchatbotdevelopedbyJosephWeizenbaumatMITholdsconversa8onswithhumans.

1964 Eliza

AITIMELINE

Ref:h]ps://digitalintelligencetoday.com/ar8ficial-intelligence-8meline-infographic-from-eliza-to-tay-and-beyond/

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The‘firstelectronicperson’fromStanford.

Shakeywasageneralpurposemobilerobotthatcouldanalysecommandsandbreakthemdownintobasicchunksbyitself.

1966 Shakey

AITIMELINE

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AITIMELINE

TheAIWinterManyfalsestartsanddead-endsleavesAIoutinthecoldfor30years.

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DeepBlue,achessplayingcomputerfromIBMdefeatsworldchesschampionGarryKasparov.

1997 DeepBlue

AITIMELINE

Ref:h]ps://digitalintelligencetoday.com/ar8ficial-intelligence-8meline-infographic-from-eliza-to-tay-and-beyond/

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MITintroduceKISmet,anemo8onallyintelligentrobotthatcandetectandrespondtopeoplesfeelings.

KISmetcoulddetectin‘babytalk’differenttypesspeech-approval,prohibi8on,a]en8on,comfortandneutral.

1998 Kismet

AITIMELINE

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SonylaunchesAiBO,thefirstconsumerrobotpetdogwithskillsandpersonalitythatdevelopover8me.

1999 AiBO

AITIMELINE

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Firstmassproducedautonomousrobo8cvacuumcleanerthatlearnstonavigateandcleanhomes.

2002 ROOMBA

AITIMELINE

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AppleintegratesSiri,anintelligentvisualassistantwithavoiceinterfaceintotheiPhone4S.

2011 Siri

AITIMELINE

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IBMsques8onansweringcomputerWatsonwinsfirstplaceonthetelevisionquizshowJeopardy.

2011 Watson

AITIMELINE

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EugeneGoostman,achatbotpassestheTuringTestwith1/3ofjudgesbelievingEugenewashuman.

2014 Eugene

AITIMELINE

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2014 EugeneAITIMELINE

Judge:Hithere,doyouprefertowearadressortrouserstowork?Eugene:Iamascholar.I'mtooyoungtomakemoney.Judge:Whatwasthelastfilmyousawatthecinema?Eugene:Huh?Couldyoutellmewhatareyou?Imeanyourprofession.Judge:IamanITmanager,andyou?Eugene:Manager?Sohowisittoworkasmanager?Judge:Hardworkbutrewarding,whatdoyoudo?Eugene:Iamonly13,soI'ma]endingschoolsofar.Judge:Haveyouseenteletubbies?Eugene:No,Ihaven'tseenit,unfortunately.ButIhopeitisbe]erthanthesecrappyStarWars.AndIforgottoaskyouwhereyouarefrom…

Judge:Brighton,andyou?

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AmazonlaunchesAlexa,anintelligentvirtualassistantwithavoiceinterfacethatcompletesshoppingtasks.

2014 Alexa

AITIMELINE

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Microsol’schatbotTay,goesrogueonsocialmediamakinginflammatoryandracistcomments.

2016 Tay

AITIMELINE

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GooglesAIAlphaGobeatsworldchampionKeJieinthecomplexboardgameofGo,notableforitvastnumberofpossibleposi8ons(2170)

2017 AlphaGo

AITIMELINE

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2017 DurhamPolice

AITIMELINE

TheHarmAssessmentRiskTool(HART)claimstotakeadata-basedapproachtopredic8ngwhetheranarrestedpersonwillreoffend.

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GoogleDuplex-AIassistantpassestheTuringtest?

2018 GoogleDuplex

AITIMELINE

Ref:h]ps://digitalintelligencetoday.com/ar8ficial-intelligence-8meline-infographic-from-eliza-to-tay-and-beyond/

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2019 Teslaautopilot

AITIMELINE

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THEHYPECYCLE

InnovationTrigger

PeakofInflatedExpectations

TroughofDisillusionment

SlopeofEnlightenment

PlateauofProductivity

TIME

EXPECTATIONS 10years+

2to5years

5to10years

VirtualReality

AugmentedReality

SmartDust

4DPrinting

QuantumComputing

AutonomousVehicles

CognitiveComputing

Blockchain

Drones(UAVs)

MachineLearning

DeepLearningConnectedHome

SmartRobots

5G

IOTPlatform

CognitiveExpertAdvisors

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AHAMMERLOOKINGFORANAIL

AI

What’stheproblemyouaresolving?

PROBLE

M

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Theterm‘ArtificialIntelligence(AI)’hastwokeycomponents-

INTELLIGENCE

AUTOMATED

NaturalLanguageProcessing(NLP)

RoboticProcessAutomation(RPA)

MachineLearning

AIMachineVision Imagerecognitionusing

cameras

AutoProcessFunctions

Translation,SpeechRecognition,SentimentAnalysis

THEAIUMBRELLA

PredictiveAnalyticsDeepLearning

RewardedforactionsReinforcedLearning

PatterndetectionSupervisedLearning

SimilaritiesandDifferencesUnsupervisedLearning

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WORKINGWITHAIISLIKETRAININGADOG

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MACHINELEARNING

ShortIntroducFonGoesHere

SUPERVISEDLEARNING

SupervisedLearningistheone,whereyoucanconsiderthelearningisguided

byateacher.

Youhaveadatasetwhichactsasateacheranditsroleistotrainthe

machine.

Oncethemachinegetstraineditcanstartmakingapredic8onordecision

whennewdataisgiventoit.

UNSUPERVISEDLEARNING

Themachinelearnsthroughobserva8onandfindsstructuresinthe

data.

Oncethemachineisgivenadataset,itautoma8callyfindspa]ernsand

rela8onshipsinthedata.

Whatitcannotdoissay‘thisisagroupofapplesormangoes’,butitwill

separatealltheapplesfrommangoes.

REINFORCEMENTLEARNING

Itistheabilityofthemachinetointeractwiththeenvironmentandfind

outwhatisthebestoutcome.

Itfollowstheconceptofhitandtrialmethod.Themachineisrewardedor

penalisedwithapointforacorrectorawronganswer,andonthebasisoftheposi8verewardpointsgainedthe

modeltrainsitself.

Andagainoncetraineditgetsreadytopredictthenewdatapresentedtoit.

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AIREPLACINGHUMANS?Ar8ficialintelligencewillempowerhumanstodomore…bemoreproduc8veandefficient.

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AIREPLACINGHUMANS?Accenturerefertothisasthemissingmiddle.

Human-onlyac#vityLead Create

Improvise Judge

Machine-onlyac#vity

Transact Iterate

Predict Evolve

Human+MachineHumansenablemachines Machinesaugmenthumans

Train Explain Sustain Amplify Interact Embody

AIaugmentsandmul#pliesthepower

ofhumans

AIinteractsandhelpspeoplei.e.virtualagent/compliance

Mixedrealityheadsetsguiding

employers

AIroleinorganisa#onstomanageandimprove

HumanstrainAI HumansexplainwhatAIis

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USECASES

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AILANDSCAPEClaims

Theaveragecycle8meis10-15days.WithAI-poweredinsuranceclaims,thisaveragecycle#meisreducedto

2-3days…orevenseconds!!

Underwri#ng

Underwri8ngisoneofthefirstjobsthatwillchangeduetoAI.

AIprovidestheopportunityforinsurancecompaniestocreatepredic8veriskmodels.Insurerscouldpoten8allycreateadifferentpolicyforeachperson.Theycanassess

riskoneindividualata8me.

Marke#ng

“Personalisa8on”isacommonwordinmarke8ng.

Itpullsatemo#onslikepeace,love,andhappinesswithyourcustomers.Un8lAI,manycompanieshavebeen

missingthemark.

Data.Data.Data

Gainingcustomerdataisn’tanewAItrendforinsurancecompanies,it’s

expansion.Ittakesconsumerinsightstomake

theirexperiencesbe]er.

Chatbots

By2025,95%ofallcustomerinterac#onswillbepoweredbychatbots.

So,howdoinsurancecompaniesusechatbots?Fromonboardingconsumerstocheckingfraudulentclaims,

chatbotsautomatethesetasks.

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KENWOODHOUSE

• 201sensorsinstalled

• 2milliondatapointsreceivedeachmonth

• Plarormobservesandfindsstructuresinthedataandalertswhenpa]ernisbroken.

Gas Metering

Leak Detection

Electrical Current

Room Humidity

Room Temperature

Kitchen Equipment

Boliers

Lift Monitoring

Electrical Current

Pumps

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LEAKBOT

Devicesreadstemperature,observesandfindsstructuresinthedataandalertswhenpa]ernisbroken.

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DRONES

114m3

SANDSTONE

SLATE

LEAD

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DRONES

$2,000

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Probability

METALTHEFT

HEIGHT

SLOPE

POSITION

DISTANCE TO ‘A ROAD’

PARKING <10M

HOUSES <20M

WEATHER

MOON LIGHT

QUANTITY

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THEFUTUREBackin1965only64transistorsfitontheworld’smostcomplexcomputerchip.

Wecanfitmorethan10billiontransistorsontoday’schips.

1900 2000

COMPU

TINGPOWER

WEAREHERE

Cybersecurityandhacking!

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QUANTUMCOMPUTING

A100-qubitquantumcomputercanperformover1,000billionbillionbillionsimultaneouscalcula8ons.Thosenumbersaretoobigforhumanstocomprehend.

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QUESTIONS