28022017 Simen Munter Mindfields
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Transcript of 28022017 Simen Munter Mindfields
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ImprovingEfficienciesandCustomerExperienceThroughRobotics
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Technologyishereandworking.Abilitytohandlelarge volumes.
Worksasinstructed.Pricesrangefromfreetohowmuchdoyouhave.
Notprogramming monkeysee,monkeydoItwillbreak,buteasytofix.
Notatechnology problem- adeploymentproblem
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37BioCostbase- 25mnCustomerBase
13BioCostbase 200mn CustomerBase
AUD1515perCustomer
AUD65perCustomer
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Unique,ComplexandComplicated
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Dealing with Elephants
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System Thinking
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RegulatoryChangeAlertsThomsonReutersRiskManagementServices(2015)
43420
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Fakeituntilyoumakeit?
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GoWidevsGoDeepHowtoinstitutionalise
low
Pilot Scaled
Silo Institutionalised
high
highWide
Dee
p
RunaPoC?
RunaPilot?
Optimiseforimmediatevalue?
Optimiseforfuturevalue?
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The future? Manufacturing.
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FromProductionLinetoPitStop Processing
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SnowflakeProcesses
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Ourresearchshowsthat92%ofcompaniesbelievetheirorganizationaldesignisnotworking,yetonly14%knowhowtofixit.
Theanswer,aswevediscovered,istoempowerpeopleinsmallteams,linktheseteamstogether,andbuildanorganizationalculture thatkeepspeoplealigned andlets peopleinnovate,deliver,andservecustomersonthefrontline.
JoshBersin
PrincipalandFounder,Bersin byDeloitte
Culture
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22Getting Buy-In is Complicated
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2495% of Errors are Human Errors
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action errors:eithernoactionistakenwhenrequired,thewrongactionistaken,orthecorrectactioniscarriedoutbutonthewrongobject
checking errors:whenthesystemrequirescheckstobemade,thechecksareomitted,thewrongchecksaremade,orthecorrectcheckismadeonthewrongobject
retrieval errors:wheninformationisrequired,eitherfromhumanmemoryorfromanotherreferencesource,itisnotreceivedorthewronginformationisreceived
transmission errors:wheninformationhastobepassedtosomeoneelse,eithernoinformationissent,thewronginformationissent,oritissenttowrongplace
diagnostic errors:whenanabnormaleventarises,theactualsituationismisinterpreted decision errors:whenthecircumstanceshavebeenconsideredthewrongdecisionis
made.
Key Error Modes
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26Theresultsshowedthathumanperformancecontributedsignificantlytoanalyzedevents.Twohundredandseventyhumanerrorswereidentifiedintheeventsreviewedandmultiplehumanerrorswereinvolvedineveryevent.Latenterrors(i.e.,errorscommittedpriortotheeventwhoseeffectsarenotdiscovereduntilaneventoccurs)werepresentfourtimesmoreoftenthanwereactiveerrors(i.e.,thoseoccurringduringeventresponse).Thelatenterrorsincludedfailurestocorrectknownproblemsanderrorscommittedduringdesign,maintenance,andoperationsactivities.
Office of Nuclear Regulatory Research
Notwithstandingtheproliferationoftechnologyandtechnology-basedriskandcontrolsystems,ourbusinessesultimatelyrelyonhumanbeingsasourgreatestresource,andfromtime-to-time,theymakemistakesthatarenotalwayscaughtimmediatelybyourtechnologicalprocessesorbyourotherprocedureswhichareintendedtopreventanddetectsucherrors.Thesecanincludecalculationerrors,mistakesinaddressingemails,errorsinsoftwaredevelopmentorimplementation,orsimpleerrorsinjudgment.Westrivetoeliminatesuchhumanerrorsthroughtraining,supervision,technologyandbyredundantprocessesandcontrols.Humanerrors,evenifpromptlydiscoveredandremediated,canresultinmateriallossesandliabilitiesforthefirm.
Goldman Sachs 10-k Securities filing
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DATAELEMENTS
INSTRUCTION
A B
C D
HUMAN LOGIC
System Tables
E F A CE F
TECH. LOGIC
G H
A CE FG H
QA
CustomerOriginHumanEnrichedTechEnrichedExternallySourced
Receipt
DataflowinatypicalprocessInput
Addsinformationrequiredbythesystemtooperatecorrectlyandrejectsinformationwhichisnotinareadystate
Systemlogicvalidatesandenrichesdata
Dataisstoredinthesystemsdatastore .
Integration
ExternalDatasetsvalidatedatthetimeofcapture
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Butrealityisfarmorecomplex
DATAELEMENTS
INSTRUCTION
A B
C D
HUMAN LOGIC
System Tables
E F
A CE F
TECH. LOGIC System A
G H
A CE FG H
QA
CustomerOrigin
HumanEnriched
TechEnriched
ExternallySourced
Step1SystemA
Integration Logic System A
HUMAN LOGIC
System Tables
TECH. LOGICSystem B
K L
Step2SystemB
I J
A DCH
A DC
HI J
I J
K LM
N O
N O P
N O P
K L
S
P
M
HUMAN LOGIC
System Tables
TECH. LOGICSystem C
Q R
Step3Systemc
A
A
U
S
Integration Logic System C
K L M
Q S
U
QA QA
UserLayer/ProcessLayer/StorageLayer
M
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Automationismucheasierasnochangerequiredtoexistingsystems
E F
ADC
I J N O P
HUMAN LOGIC STEP A
1) Data Capture Instruction
HUMAN LOGIC STEP B HUMAN LOGIC STEP C
Control Logic allocates Instructions to relevant Enrichment Teams using Inversion of Control Principles and
invokes robots when ready
2) Enrich Data
AD
C
BStarting Data Set
A
D
E F
I J
N O P
A CE F
A DCHI J
N O PK L MA
A C
Simple Data Capture Screens
Robot Procedures moves data through existing screens, harvest data fields for later reuse
where required.
H
K L
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Capture ExecuteEnrich
ByProcess ByProcessByCapability
UseMachineLearning
Data OrientedProcessing
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Enabling Operational DigitalTransformation
DataOriented Processing
CaptureByseparating datacapture fromother
elementswe can ensure inputquality
on the way in,andwe create aninitial
dataset forthe AIplatform.Ideally
this isdonebythe customer directly.
What does it MeanYou can expose allinteractions to
analytical tools inrealtime,enabling
salesandriskopportunities tobe
acted upon asandwhen ithappens.
EnrichmentWe optimise enrichment capture bycapability
teams,providingbenefits across products and
services.Thismakestheir job moreefficient,and
also enable the AIplatform tosee what isbeing
doneandpropose likely enrichments byitself.
ExecutionSince our focus istocreate datasets
we are able toleverage existing
corporate assets likeAPIsand
Interfacesaswell asusing RPA.If
nothing isavailable,we optimise for
humancapture.
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StopDoing StartLearning
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ProcessesasCode
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You might need a Partner
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FromNo learningtoDeep Learningintheworkplace.
Aimtolearnsomethingnewineveryinteraction.
Humansastrainers.
TheworkbecomesmanagingtheDataandunderstandingitspurpose
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Alwaysstartwhereyouhavevolume,notwhereyouhaveproblems Makeitbetterforyourcustomers Lookoutsideyourorganisation andindustry easiestwaytoimprovementiscopyingsomeonewhoisalreadygreat LeanFlow
AcultureofAgilityrequiredifferentapproaches- LetitGo Developdigitalskills,capabilitiesandaptitudesFocusonyourexistingareasofstrengthandbuildoutfromthere(with,notto yourpeople)
Speedupyourroboticsjourney getoutofthedoing Learnsomethingineveryinteraction MachineLearning BelikeBatman partnerinwhereyoudonthavetheskills,butdevelopyourpeople
Weareall intechnow.
ToDo