general presentation of probayes
DESCRIPTION
General presentation of Probayes, its products, its profesionnal services. Probayes develops best of breed decision making solution based on predictive behavior analytics.TRANSCRIPT
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Copyright © 2010 Probayes All Rights Reserved 1 1
Behaviour Analytics& Prediction
December 2010
ProbayesMastering Uncertainty
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Copyright © 2010 Probayes All Rights Reserved 2 2
Company
Founded in 2003 – Based in France (Grenoble)
Spin-off of a well-known lab (INRIA/CNRS)
Office: France, Mexico
22Employees80%PhD
Privatelyheldbyfounders&employees
Profitablesinceincep:on$
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Missionstatement
Developbestofbreed
computed‐aideddecisionmakingsolu;onbasedupon
predic;vebehavioranaly;cs
PREDICTBEHAVIOR
Behaviorof:
Objects
Process
People(Consumers)
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Ourmethodology
ClassifyBehaviorsRight/wronggesture,turnleL/right
LearnBehaviors Buildmodelsorlearnfromdata
RecognizeBehaviors Computeprobabilitytobeinagivenbehavior
THEN,PREDICTNEXTBEHAVIORS
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Auniqueapproach
Mixing DealingwithUncertaintyandIncompleteness Modelingknowledge(formaloruncertain) Miningdata
Usinguniqueandpowerfulmathema:caltools(Bayesiannetwork,mul:‐model,Markovchain,..)
KNOWLEDGE&DATA=>RELEVANCE
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Ourteam
Strongprojectmanagementexper;se: WorkwithF500companies(Areva,Toyota,…)
Knowhowtodealwithconfiden:alityandIntellectualProperty
Mathema:cs
Astrophysics
Robo:cs
…
+
Ateamof15doubleskilledengineers
SoLwareengineers
DOUBLESKILLEDENGINEERS
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Ouroffer
Product(ProBT,BofSDK,RecoSDK)
+
ProfessionalServices
(Modeling,DataMining,MachineLearning)
=
Solvingefficientlycomplexproblems(behaviordetec;on,sensorfusion,predic;on,…)
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Targetmarkets
Finance Opera:onalRisk Fraud&Moneylaunderingdetec:on
ProcessManagement(BPM) Industrialprocess(produc:on,maintenance) Automo:ve,Health,Energy,Security
BusinessIntelligence Helpdesk,Call‐center Consumerbehavior(web,energy,wholesale)
Defense&Automo;ve Data&sensorfusion Classifica:on&BehaviorRecogni:on Trajectorypredic:on
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References
Finance
ProcessManagement(BPM)
BusinessIntelligence
Defense
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Ourproducts
ProBT Probabilis:c&Predic:veanaly:cssoLwaretool 10yearsofR&D
‐Score15millionsbanktransac;onsaday‐
RecoSDK Processing,Analysis,Classifica:onof:meseriesinreal;me SupervisedLearning,HiddenMarkovModels
‐GestureRecogni;onusinganysensor‐
BOFSDK Probabilis:cgridtomergesensorsdata 1patent
‐ReliableMul;sensorsfusion‐
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Examplesofapplica;ons
FraudDetec;on Probabilis:cmodelingoffraudbehaviorscoupledwithselflearningcapabili:esso the system adapts and adjusts automa:cally to new fraud pacerns, it canassignaprobabilityoffraudforalltransac:ons.
Reducefraud$$$
Energyconsump;onpredic;on Predictenergyconsump:onofcomplexsystemssuchasdistricthea:ng,waterboilers,engines,andhelpop:mizeenergybyanalyzinguserbehavior.
Saveenergy,improvecomfort
Predic;vemaintenance Modeling complex compoundequipments suchasmechatronics solu:ons, andpredictthefuturetrendofequipmentcondi:on.
An;cipatebreakdown
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Examplesofapplica;ons(2)
Gesturerecogni;on Recognizethetypeofgestureapersonismakingassoonaspossible,andofcoursebeforethegestureisfullycompleted.Useanysensors.
Usegesturesascommands
ChurnPredic;on Findoutcustomerswhoarelikelytoleaveamobileoperatorwithinthenextcomingweeks.
ImproveROI&ARPU
Self‐adjus;ngse^ng Basedonbehavioranaly:cs,an:cipatethefutureneedsandthenmakethepropersedngmostlikelytobeused.
Improve&adjustuserexperiencetotheUser
h_p://www.my‐smart‐phone.com/move‐n‐play/videos/
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Onlinedemos
Keystrokedynamic Recognizeapersonusingthewaysheusesakeyboard Soyouneeduser/password,andthewaytokeyintheinforma:on Improveiden:fica:ononwebsites,systems&applica:ons.
h_p://www.keystroke‐dynamics.com(user:web,password:web4you)
Sensorfusion:GestureRecogni;on Capabilityofusingdifferentsensors(video,accelerometer,…) Learnandrecognizegestures Behaviordetec:on(panic,faint,…)
h_p://www.youtube.com/watch?v=Z50IrzkUY08
Collisiondetec;onsystem Fusioninforma:onfromdifferentsensors(video,laser) Trackobjects,quicklypredictcollisionriskforthenext10seconds Keepintoaccountbothobjects&drivers/usersbehavior
h_p://www.probayes.com/IMG/mov/BOF.mov
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?
?
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BigDataExtractpredic:vemodelsfromdata
Classify&Segmentdata
Classify&Organize
UncertaintyMissingdata,hiddenvariablesinvolvedinaprocessbutimpossibletoread
Sensorwithpoorprecision,orsensordegradingover:me
Incompletemodelswithnodata,feworalot
Whenarewerelevant?
InverseproblemManyprac:calproblemsarecalled”inverse"inthesensethatitiseasyto
knowtheresultofanac:on,butverydifficulttoknowtheac:onsleadingto
desiredresult.
PREDICTTOBETTERDECIDE
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Contacts
THANKYOU
+33476426413
Probayes345rueLavoisier38330MontbonnotFrance
www.probayes.com