cips june 20 2017 big data and data analy’cs in procurement speaker... · 2017-07-13 · big data...
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100CELSIUSAIPredic'vecustomer
analy'cs
CIPS June20th2017
BigDataandDataAnaly'csinProcurement
subscrip'ondata|machinelearning|analy'csSaaS|ac'onableinsights
This document and the information it contains are property of 100 Celsius AI. It cannot be copied or distributed without prior written authorization of 100 Celsius AI.
100CELSIUSAIPredic'vecustomer
analy'cs
Big Vision? AI
Source:Internet2
“AIisthenewelectricity.Justaselectricitytransformedeveryindustry,AIwilldothesame.“
AndrewNg,VP&ChiefScien'stofBaidu
Digitalisation is nothing new Our business changes in waves
1
2 3
4
Networking & Mobility Devices such as smartphones, tablets and mobile Internet. Mobile networking is becoming omnipresent.
IoT & Virtualisation Physical things are merging with the cloud. Smart data, virtual realities and virtualised systems and networks.
Artificial Intelligence Machines learn and make autonomous decisions. Intelligent analysis of enormous quantities of data. Robotics. Blockchain.
…? It is not yet possible to predict what the future will bring. One thing is clear: The next wave is on its way.
2003 today 2020 2030
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100CELSIUSAIPredic'vecustomer
analy'cs
Big Data 4 V’s SOME DEFINITION
Source:BigData,Pintrest4
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100CELSIUSAIPredic'vecustomer
analy'cs
Amazon is “sensing” demand BIG DATA ANALYTICS EXAMPLE
AmazonshoppurchaseSocialmedia,searchfeeds
CustomercomplaintsCallcenterlogs
Returnslogs
Warrantyissues
Source:Forbes,SupplyChainsAndAr'ficialIntelligence:AskJeffBezos,June2016
• What?• When?
• Why?• How?
5
“contextualawareness”ofdemand
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100CELSIUSAIPredic'vecustomer
analy'cs
PredicGve modeling for engine servicing BIG DATA ANALYTICS EXAMPLE
RFID,Geoloca'onofinventorySocialmediafeeds
CustomercomplaintsCallcenterlogs
Returnslogs/Warrantyissues
Source:IBM,BigDataAnaly'csanditsImpactonSupplyChainManagement,2015
• Iden'fybusinesscontextandpa]ern• Prevalentcomplaintonaproductline
• Getthesen'mentscoring• Decideuponinterven'on• No'fyrelevantlinkinSupplychain
6
This document and the information it contains are property of 100 Celsius AI. It cannot be copied or distributed without prior written authorization of 100 Celsius AI.
100CELSIUSAIPredic'vecustomer
analy'cs
Early warning supplier risk monitoring BIG DATA ANALYTICS EXAMPLE
Execu've,ManagementChangesFacili'esexpansion,Assetacquisi'on
Regulatory,Li'ga'onandPatentsFinancialRestructuring,Bankruptcy
Financing,Investment,Funding,M&A
Awards,ProductRecalls
Source:Firstrain.com,Solu'ons/Risk;D&BSupplyManagementSolu'ons
• Analyzemillionsofcompanies• Iden'fyvendorrisksearlier• Con'ngencyplanning• Monitorproduc'on-relatedissues
• Alertproductteamsfordisrup'ons
• Offertherightbusinessterms
7
This document and the information it contains are property of 100 Celsius AI. It cannot be copied or distributed without prior written authorization of 100 Celsius AI.
100CELSIUSAIPredic'vecustomer
analy'csDEUTSCHE TELEKOM GERMANY
8Source:Digi'za'onofDTCustomerSrvice,CEMSummit,London,Jan2017
This document and the information it contains are property of 100 Celsius AI. It cannot be copied or distributed without prior written authorization of 100 Celsius AI.
100CELSIUSAIPredic'vecustomer
analy'cs
Customer senGment monitoring SWISSCOM
9Source:WiekünstlicheIntelligenzundmenschlicheFähigkeitenzusammenspielen,Swisscom
This document and the information it contains are property of 100 Celsius AI. It cannot be copied or distributed without prior written authorization of 100 Celsius AI.
100CELSIUSAIPredic'vecustomer
analy'cs
Where to play? BUSINESS CASE
Source:ChartStrategy&,PwC10
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100CELSIUSAIPredic'vecustomer
analy'csTECHNOLOGY
Thinking through AI roll-out Training§ Feedcustomerinterac'ons+respec5ve
sa5sfac5onleveltotheAI§ AIlearnstomakepredic'onsbyiden'fying
pa]ernswhichcorrelate
Produc5on§ Feednewdatawithunknowncustomer
sa'sfac'on§ AIassignscustomersa'sfac'onscore§ Scoresareaggregatedwithstructured
datatoprovidemeaningfuloverviews
CallorEmailorAgentSummary
PredictedCustomerSa'sfac'on
TrainedModel
CallorEmailorAgentSummary
GivenCustomerSa'sfac'on
+ =
TrainedModel
+ =
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100CELSIUSAIPredic'vecustomer
analy'cs
Which capabiliGes? APPLICATIONS
Source:CBInsights,May201712
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100CELSIUSAIPredic'vecustomer
analy'cs
AI talent war ACQUI-HIRE
Source:CBInsights,May201713
This document and the information it contains are property of 100 Celsius AI. It cannot be copied or distributed without prior written authorization of 100 Celsius AI.
100CELSIUSAIPredic'vecustomer
analy'cs
Make or buy AI strategy OPEN SOURCE
Source:PressRelease,Web14
This document and the information it contains are property of 100 Celsius AI. It cannot be copied or distributed without prior written authorization of 100 Celsius AI.
100CELSIUSAIPredic'vecustomer
analy'cs
Make or buy AI strategy AMAZON EXAMPLE
Source:AmazonAIservices,June201715
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100CELSIUSAIPredic'vecustomer
analy'cs
THANK YOU !
16
100 CELSIUS AI
HervéFluGoherve@100-celsius.comTel.+41792277422
www.100-celsius.com
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100CELSIUSAIPredic'vecustomer
analy'cs
17
100 CELSIUS AI
Our Team
HervéFluGoMBAIMD,Co-FounderB2Bmarke'ng&salesexpert
MauriceGonzenbachMSc.ETH,Co-FounderFullstackandMachineLearningEngineer
PascaldeBurenMSc.ETH,Co-FounderBackendandMachineLearningEngineer
§ EPFLProf.Jaggi|MLResearch § ZHAWDr.MarkCieliebak|MLSomwareResearchnetwork
§ MehdiMegdiche|SrMarke'ngExec
§ VincenzodiLorenzo|DataScien'st
§ MemberofTMForum|IndustryAssocia'onTelcoNetwork
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100CELSIUSAIPredic'vecustomer
analy'cs
Award winning Deep-Learning technology
§ Recurrentneuralnetworkson'meseries
§ BasicprinciplesdevelopedduringMScThesisatETH
§ Technology(onNLPapplica'on)won1stplaceamong35industry/universityteams
• Churnmodelaccuracyonpubliclyavailabledata:85%
BACKUP
Stateoftheartdeeplearningsystem
18
+ / -
Network Parameters
Intermediary Results
Convolution (1) with added bias and activation function
Max Pooling (1) Convolution (2) with added bias and activation function
Max Pooling (2) Softmax
S 2 Rd⇥n
F1 2 Rm1⇥d⇥h1
F2 2 Rm2⇥m1⇥h2
C1 2 Rm1⇥n+h1�1 C2 2 Rm2⇥q+h2�1
Cpool 1 2 Rm1⇥q C
pool 2 2 Rm2⇥1
P (y = j) 2 RK
W 2 Rm2⇥K
(transposed visualization)
x3
x2
x1b1 2 Rm1
b2 2 Rm2
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100CELSIUSAIPredic'vecustomer
analy'cs
§ E-Sales&e-careBots
§ BI-Bots
§ CustomerSa'sfac'on/NPS+
Customer applicaGons MACHINE LEARNING SOLUTIONS
NATURALLANGUAGEPROCESSING1
19
§ Churnpredic'on&uplim
§ Cross&upselling
§ NextBestOffer
1.Winningcontribu'ontoSemeval2016interna'onalnaturallanguageprocessingcompe''oninthetaskoftwi]ersen'mentanalysis,https://aclweb.org/anthology/S/S16/S16-1173.pdf
STRUCTUREDDATAANALYTICS
TechnologyStackSelfdeveloped&opensourcesomwareMachinelearningtechnologiesincl.convolu'onal/recurrentneuralnetworks
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100CELSIUSAIPredic'vecustomer
analy'cs
Customer retenGon @ mid-market Telco
20
OPPORTUNITY
DATAEXCHANGEExcel
DIRECTMARKETING70/mth
CHURNRATE12-15%/yr
“Weseetheopportunitywith100CelsiusAItoaccelerateourinnova'oninthisfieldwith an AI-powered intui've SaaS plasorm for new (partner and 3rd party) salesopportuni'esandchurnreduc'ondedicatedtoTelecomOperators.”
ErikMeijer,DeutscheTelekomAG,GroupInnova;on
Source:Customermee'ngs
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100CELSIUSAIPredic'vecustomer
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Digging deeper ARTIFICIAL INTELLIGENCE
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