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Today,ArtificialIntelligence(AI)isinvolvedineveryaspectofhumanlife.Beginningwith
browsingtheweb,placinganorderorevenusingsocialmediaplatforms,everymovemadeon theinternetisbeingenabledwithAI.Also,AIisrevolutionizingthesectorssuchashealthcare, logistics,defense,manufacturing,education,IT,politics,andmanymorewithitsefficient,highly productive,cost-effectiveandtime-savingalternatives.ThepopularityofAIhasincreasedduetoitsability tominimizehumaneffort,attentionandinvolvementintherespectiveactivity.Inthelastfewyears,ithas beenobservedthatGoogle,Tesla,Amazon,Uber,andmanyofsuchbiggiantsareinvestingtheirhuge resourcesintheAIspace.TherecentdevelopmenthasmadeitclearthatAIisthefutureofmankindand onewhopossesses thehighestAIcapabilitieswillleadtherespectivespace.
Self-drivingvehicleshavebecomethecurrenttrendingtopic.Presently,thistechnologyisinthetesting phaseandwillbeavailableinthenearfuture.Driverlessvehiclesdoesn’tdemandthepresenceofa physicaldriverasitusesanAI-basedarchitecturethatallowsriderstodosomeusefulworkorgetrelaxed insteadoffatiguedriving.Inthisdecade,Apple,Waymo,Tesla,Ford,Honda,BMW,Nissan,Intel,Uber, andmorearecontinuouslyworkingontheirautonomousvehiclesandtestingeachandeveryaspectof comfortandsafety
AItechnologyisalsotransformingthedefensesectorwiththeirhighlyusefulproducts.TheseAIenabled productscanbeutilizedwhereahumancan’twithstand.Thesecanalsobeusefulfordisasterreliefalso. ThusweobservedthatAIishavinganinfluenceeverywhereandthismadeusgototheissue,The10 MostInnovativeArtificialIntelligenceSolutionProviders2018.Thisissuewillhighlightthe extraordinaryefforts,contribution,andinnovationdonebydifferentorganizationsintheAIfield.
Onthecoverofthisissue,wehave,A.I.Tech:AmalgamatingA.I.withHumanLife.Generally,when wetalkaboutsecuritythefirstandforemostthingthatcomestoourmindis“SurveillanceCamera”, Butagainhereaquestionarises;aretraditionalsurveillancecamerasself-sufficienttoprovideusthe optimumlevelsecurity?Theanswerisno!Sotoprovideasolutiontotheabovementiondilemma A.I.Techcameintothepicture.
A.I.Techisanoutstandingcompany,wheretheystrivetoconceive,designandmakesystemsrealize aswellasenablethemtoproduceintelligentsurveillancecameras.Indeed,theytransformthewayin whichacameraseestheobjects.AtA.I.Techtheyproducevideoanalyticpluginsthatcanbeinstalled onboardofsurveillancecamerasthatnotonlyobservethescene,butalsotheyareabletodiscover whatitishappeningthroughtherecognitionoftheobjectsandtheanalysisoftheirbehavior.
Afterdoingin-depthresearch,wehaveenlistedcompanieswhoresponsiblytransforminghumanlife withtheincorporationofAI.AppOrchid:ASpecialistintheScienceofArtificialIntelligenceand CognitiveComputing,Dotin:TappingintoSubconsciousBehaviorsofHumantoProvideAccurate TM andPowerfulBusinessOutcomes,FogHornSystems :DeliveringBusinessOutcomesforIndustrial IoT,Kono.ai:YourAdvancedSchedulingPartner,RobinMedia:YourPersonalConciergeforLive Experiences,andTanjo: ImprovingBusinesses,Industries,andPeople’sLivesbyBringingMachine LearningandAutomationtotheWorld.
Also,InsightsSuccesshasinterviewedJoshZiegler:ACuriousEntrepreneurDefiningthe BoundariesofInnovation.JoshistheFounderandCEOofZumata,aleading-edgetechnologyfirm thatembracesanddeploysthecutting-edgetechnology Anavidtinkerer,heseeksoutnewchallenges andopportunitieswithakeeneyeto‘makingthingsbetter’whetherthat’smakingatastierpizzaor solvingcomplexbusinessproblems.OriginallyfromtheUSA,hehascalledAsiahomeforthelast15 years.
Whilegoingthroughourmagazine,youmustnotmissoutthearticlessuchas; Are humans on the verge to drop their jobs?, Will Artificial Intelligence Narrow the Bridge between Humans and Machines?, and Impacts of Artificial Intelligence has Started Resonating in CRM Industry fromthe Editor’sPick How to strengthen your security posture using artificial intelligence and AI: From Artificial to Authentic fromtheViewofsomeoftheSuccessfulLeaders.
Hopethiseditionofourswillcreateamarkonyourmind.
Suhel MashayakWeallaredevelopingatanimmensepace;letit
beforabusinessoranindividual,development hasbecomethenewnorm.Butwith developmentcomesthemostdreadfulchallengeof providingoptimumsecuritytoone’sassets.Whenwe generallytalkaboutsecuritythefirstandforemostthing thatcomestoourmindis“SurveillanceCamera,”Butagain hereaquestionarises;aretraditionalsurveillancecameras self-sufficienttoprovideustheoptimumlevelsecurity?The answerisno!Sotoprovideasolutiontotheabovemention dilemmaA.I.Techcameintothepicture.
A.I.Techisanoutstandingcompany,wheretheystriveto conceive,designandmakesystemsrealizeaswellasenable themtoproduceintelligentsurveillancecameras.Indeed, theytransformthewayinwhichacameraseestheobjects. AtA.I.Techtheyproducevideoanalyticpluginsthatcanbe installedonboardofsurveillancecamerasthatnotonly observethescene,butalsotheyareabletodiscoverwhatit ishappeningthroughtherecognitionoftheobjectsandthe analysisoftheirbehavior.
Anexperienceofmorethan25yearsinresearchinthe fieldsofArtificialIntelligenceandArtificialVision, combinedwithskillsintheengineeringofhardwareand softwaresolutionsandondesigningofembeddedsystems, allowsA.I.Techtoproposeinnovativeandadvanced solutionsinthefieldofintelligentvideoanalysis.
TheInceptionStoryofA.I.Tech A.I.Techstarteditsoperationsin2010.Thoughthe companyisyoung,buttheirexperienceinthefieldof intelligentvideoanalysisismucholder.Indeed,itcomes fromtheacademicbackgroundofitsfounders.Theywere allprofessorsandresearchersoftheUniversityofSalerno, inthesouthofItaly,havingaseveral-decade-long experienceinA.I.Suchexperienceguaranteestothe companyaverycompetitiveadvantageintermsofthe reductionofbothcostandtimeforproducinginnovative solutions,ifcomparedtoothercompanieswhichoperatein thisfieldandwhicharetypicallyboundtocollaboratewith theuniversitiesorresearchinstitutionsinordertoinnovate theirproducts.
Sinceitscreation,themissionofA.I.Techhasbeentobring innovationandtoaddvalueinallthefieldswheresome “eyes”(thecamera),combinedwitha“brain”(A.I.Tech’s software)couldhelpinsolvingaproblem:security,retail andtrafficmanagement,justtomentionacoupleof examples.Indeed,acamerawithavideoanalyticplugin canhelpthehumaninaccomplishingataskinlesstime, andalsosometimesdoingsomethingthatahuman(alone) couldnotdo.
Thankstoaconsolidatedanddeepknowledgeinartificial intelligenceandartificialvisionmethodologies,A.I.Tech hasbecomealeaderproviderinvideoanalyticsolutionsin severalverticalmarkets:Security,TrafficMonitoringand RetailarethethreemaintargetmarketsforA.I.Tech,where thevideoanalyticproductscanbereallyuseful.
Belowaresomeglimpsesoftheutilizationofthevideo analyticsintheabovementionedfields:
Inatraditionalvideosurveillancesystem,thecamera acquiresthevideoofagivenscenetobeprotected,thebest casebeingahumanoperatorvisualizesthevideosalertsthe securityifsomethingsusceptiblehappens.Anyway,some psychologicalstudiesconfirmthat“After12minutesof continuousvideomonitoring,ahumanoperatorwilloften missupto45%ofscreenactivity After22minutesof video,upto95%isoverlooked”.TheaimofA.I.Techisto helpthehumanoperatorinhisboring(andoftennotreally effectiveduetothephysiologicaloverchargeissue mentionedabove)monitoringtask,bymakingthese traditionalsurveillancecamerassmart,withtheadvanced artificialintelligenceandcomputervisionalgorithm developedbyitsteam.TheseAIpluginscanunderstand whatishappeninginthescene.Itcantraceandalert whetherthebaggagewasabandonedintheairportorinthe trainstation;whetherapersonintrudedintoafactoryora bank;itcandetectanysuspiciousbehaviornearanATMor anyemergencyhappenedwithanoldmemberofafamily whetherinthehospitalorinhisorherownapartment.
VideoanalyticpluginscreatedbyA.I.Techareveryuseful alsoformakingtheroads“smart”.Trafficmonitoringand accidentincidentdetectionaretwoimportantissuesthatthe A.I.Techpluginsareabletoaddress.Indeed,asmart camera,providedwithA.I.Techplugins,isabletotrackthe numberandtypologiesofvehiclescrossingaroadordetect thequeue;canidentifythevehicletakingthewrongsideof theroad,apedestriancrossingahighwayoracarstopping inaforbiddenzone.Awaytomakepeoplefeelsafeonthe road!
“Ifyoudonotknowit,youcannotmanageit.Andyou cannotimproveit.”Thus,thestartingpointofeachretailer istoknowtheirstores,soastoimprovetheirperformance. A.I.Techprovidesthewaytoidentifyandanalyzethe customerbehaviorinaretailshopandthusenhancingthe customersatisfactionandbusinessgrowth:thenumberof personsenteringastore;thetimespentbyapersoninfront
ofanadvertisementcontentshownonamonitor;thegender andtheageofthepersonsenteringthestore;thetimespent byacustomerwhilewaitingforpaying;thenumberofthe personsstoppinginfrontofaproductofinterestinthe store.Tosumup,thesesmartvideopluginsactasan intelligentsensorwhichisprovedtobebeneficialforthe retailers.
TheA.I.Techhasseveraldecadesofexperienceinthefield ofArtificialIntelligence.TheresourcefulteamofA.I.Tech withitssplendidresearchethicshelpsthecompanyto producegreatresultsandmakestheproductsmore cost-efficientandtimesaving.
“The clients believe in our methodologies, skills, passion, dedication and integrity which make them choose us again and again”, quotesthezealousleader
“We are working to change the way Surveillance Camera can be used in many applications. - declares Fabio Andreoni, Country Manager for Italy and Greece for Hanwha Techwin Europe - Our new range of camera based on Wisenet X DSP plays an important role as enabling technology in this direction.”
“A.I. Tech has been able to exploit at its best the powerful processing capability of our camera, developing interesting and cutting edge algorithms, for application in Security, Intrusion detection and Business Intelligence for Retail Market. Their advanced and effective video analytic applications run directly on board of the camera, demonstrating how the future of Professional Video Surveillance looks like.”
“Our company - declares Andrea Hruby, CEO of HESA - has been a leader in the security sector for fifty years as the first distributor in Italy and is the reference point for all professionals in the sector who need access to the most modern and advanced equipment selected from the best manufacturers all over the world. In this scenario, we place our collaboration with A.I. Tech, which represents an excellent partner able to offer the high level that has always characterized our proposal. It is therefore a great satisfaction to celebrate and share with A.I. Tech the important goal achieved, the result of great commitment, technological innovation, research at the highest levels and team spirit.”
AItech aitech.vision
AppOrchid apporchid.com
Dotin dotin.us
FOGHORNSYSTEMS foghorn.io
HanalyticsPteLtd. hanalytics.sg
jumper.ai jumper.ai
Kono.ai kono.ai
LoopAILabs loop.ai
RobinMedia tryrobin.co
Tanjo tanjo.ai
CEO
AlessiaSaggese Founder& MarioVento Co-ownerKrishnaKumar CEO&Founder
GaneshIyer Founder
DavidC.King CEO
JoeWu Founder
YashKotak Founder
A.I.Techisanoutstandingcompany,wheretheystriveto conceive,designandmakesystemsrealizeaswellasenable themtoproduceintelligentsurveillancecameras.
AppOrchidInc.isaSiliconValleybasedsoftware developerspecializinginthescienceofArtificial IntelligenceandCognitiveComputing.
Dotinisdedicatedtounderstandingtheartofdecisions madebythesubconsciousmindtoyieldpowerful businessoutcomes
FogHornisadeveloperof“edgeintelligence”softwarefor industrialandcommercialIoTapplicationsolutions.
Hanalyticsisabigdataanalyticsandartificialintelligence companythatspecialisesinexploitingdeeplearningtechniques suchasDeepNeuralNetwork(DNN)touncoverinsightsand tocreatepredictiveapplicationsinthehealthcaresector
jumperbringsshoppingtowhereyourcustomersareFacebook,Instagram,TwitterandYoutube-andhelpsyou selldirectlyinsocialmediaandanywhereelseyoudo business.
YJMin CEO
GmCalafiore CEO
AdamMcIsaac CEO
Kono.aiisthemostskilledassistantthatwouldhelpin arrangingofficialorpersonalgatherings.
LoopAILabsisworkingtoradicallychangehowmachinescan autonomouslylearnandunderstandthehumanworld,mirroringthe samelearningprocessthathumansuse.
Robinhelpsbusinessesandconsumerswhenbookingtickets andreservationsforamazingliveeventsandexperiences.
RichardBoyd CEO
TanjoteachespeoplehowMachineLearningand Automationarechangingtheirindustries,andbuilds solutionsthatachievetherightbalancebetweenhumansand automationtooptimizeoutcomes.
JoshisthefounderandCEOofZumata,a
leading-edgetechnologyfirmthatembracesand deployscutting-edgetechnology.Anavidtinkerer,he seeksoutnewchallengesandopportunitieswithakeeneye to‘makingthingsbetter’whetherthat’smakingatastier pizzaorsolvingcomplexbusinessproblems.Originally fromtheUSA,hehascalledAsiahomeforthelast15 years.
1) Firstofall,whatisyourdefinitionofAI? IamremindedofafavouritelinefromGeorgeCostanzaon
theTVshowSeinfeld.Inoneepisode,Georgesuggested thename‘Soda’toanexpectingmotherwhowashavinga toughtimechoosinganame,andthencongratulated himselfbysaying,“Isolveproblems.That’sjustwhatI do.”
Tome,thissumsthingsupnicely.AIisasetoftoolsto solveproblems.
2) Ok,Iknowyou’reusingAIforcomplicated problemsaroundenormousdatasets,hotelpricing,
imagerecognition,etc.inordertoimproveoperational efficienciesinhoteldistribution. However,whatare someconsumerfacingproblemsyou’resolvingthat impactourreaders’dailylives?
Someofoursolutionssolvebehind-the-scenestypesof issues,whileothersaddresseverydayproblems.
Intermofourdailylives,we’reautomatingconversations togivecustomersbetter,faster,andmorerelevant informationtotheirqueries.Wefocusoureffortson problemsinafewkeyareas-advisoryandsalesaswellas customersupport.
Let’stakeanexample.AssumeSallywantsanewcredit card.Herfirststopisherbank’swebsite.Herproblemis thatthebankhas20differentcards,andeachonesounds fantastic.Whichoneisbestforher?Doesshereallywantto readallthefineprint?Nope,shejustwantsacardthat meetsherneeds,giveshercertainperks,andallowsherto getbacktoherday.
Withthehelpofachatbot,shecandirectlyaskforwhatshe needs,“IwantacardthatgivesmecashbackonthingsI buyeverydayandhasnoannualfee.”Thebotcan immediatelyanswer,“TheRegularJoeCardgivesyou2% cashbackongroceries,1.5%backonrestaurants,and1% backongas.Thefirstyearannualfeeiswaived.Wouldyou liketoapply?”
Inthisscenario,Sallygetspreciselywhatshewantsandthe bankclosesa‘sale’.Thisscenariocanplayoutequallywell fortravel,insurance,shoes,ortoothpaste…theproductline doesn’tmatter
Everybusinesshascustomersneedinginformationand adviceonwhichproductsfittheirneeds.Theproblemis howtobestdistributeinformationandadviceatacostthat allowsprofitability.AImakesitpossibletodelivertargeted adviceandsalesatafractionofthecostoftraditional methods.It’sawinforthecustomerandawinforthe businessprovidingtheproductorservice.
Ofcourse,customersalsohavepost-salesservicing requirements.Customerservicerepstakeabeating,asthe currentapproachtoserviceispainfulforboththebusiness andthecustomer.Customerswaitonhold,waitfordaysfor emailreplies,ordealwithoverworkedagentstendingto manysimultaneousconversationsonlivechat.Doyou
cringeatthethoughtofgettingintouchwithcustomer service?IknowIdo!
Fromtheotherside,ifbusinesseswishtoimproveservice quality,previouslytheonlychoicewastobearsignificant costsofincreasedmanpower.Customerserviceistypically viewedasacost-center,andassuchthedynamicsaresetup foramiserablecustomerexperience.
AIischangingthis,andZumataisallowingcustomersto getinstantresponsestotheirquestionsabsenthuman involvement.Doyourecallwhatitwasliketocallyour stockbrokerforaquote?Whatahassle!Thewebmadeit easytogetsomeinformationeffortlessly,andnowAIis fillingintherestofthegaps.
Combiningtheabilityofautomationtoanswercustomer servicequerieswhileadvisingonnewandhighlytargeted productscantransitioncustomerservicefromcost-centerto revenuedriver.Betterstill,AIagentswork24/7,don’ttake breaks,speakmanylanguages,arealwaysfriendly,canbe easilytrained,andcostafractionoftraditionalcustomer serviceoperations.Thesesignificantbusinessadvantages materializesinvastlyimprovedresponsetimes,better accuracy,andsignificantlylessannoyanceforthecustomer
Bottomline,we’reusingAItosolveproblemsfacedby bothbusinessesandthecustomerstheyserve.
3) So,you’resayingis,“AIisaproblemsolver. That’sjustwhatitdoes”.WhatroledoyouseeAI playinginthefuture?
AIistalkedaboutextensively,andeveryonehasanopinion. WhatIcansayforcertainisthatifacompanyisnot embracingthetechnology,itwillfallbehind.Asa consumer,ifyou’renotchoosingbrands,products,or servicesthataresupportedbyadvancedtechnology,you’re probablymakingyourlifeharderandlessenjoyablethanit couldbe.AIismakingourlivesbetterbyremoving obstacles,personalizingcontent,andallowingustobemore productive.
Asforthefuture,AIisincreasinglyeverywhere,andIdon’t thinkwecanpredictthetrueramificationsofitsuseorthe eventualoutcomesofitsapplication.Progressis unstoppable,andthepaceofchangeiseveraccelerating. It’sarace,andI’ddefinitelyprefertobeatthefrontofthe pack.
AppOrchidwasestablishedin 2013byKrishnaKumar,an entrepreneurwithanextensive experienceinfoundingand establishingsuccessfulcompanies. BasedintheRedwoodCity,App Orchidhasgrownexponentiallywitha widespreadcustomerbasein healthcare,insurance,andenergy verticals.Withinashortspanof24 months,thecompanyhasdeployedits AItechnologyatmultipleclient locations,andgrowntoover70 employeeswithanannualrevenue growthrateofover500%andwith approximately10Minannual revenues.
AppOrchid’sproductsuiteprimarily dealswithvastamountsof unstructureddata(likeWord documents,PowerPoints,emailsetc.), structureddataandIoT(Internetof Things)data.Ittakesonan“App based”approachallowing organizationstotakesmallerbites, whilebeingabletotestandtryout advancedAIconceptswithout overwhelmingtheiroperational systems.Suchanon-invasiveapproach allowsenterprisesto“test-drive”their businessfunctionsandcheckthe viabilityofapplyingrevolutionary digitaltechnologiesagainsttheir landscape.
AppOrchidistheonlycompanythat deliversarichtemplateofprebuilt businessproceduresthatsupportrapid testdrivinganddeploymentofAI applications.Theinsightsdeliveredby thedatamakeiteasyforbusiness leaderstodetermineideasthatare viableandthosethatdon’twork.Using auniqueapproachbasedona technologycalledthe“semanticweb;” whichperformsknowledgediscovery, i.e.discoveringrelationshipsbetween thedatapointsandknowledge acquisition,timetomarketandthecost ofdeployingtheapplicationina productionsettingisdramatically reduced.
RenderingWideRangeofSolutions thatareProvingtheirSupremacyin AIspace
AppOrchidprovidesawiderangeof solutionsfromEnergyManagement, InsuranceRiskAssessment,and UnderwritingtoClinicaltrialsfor personalizedmedicine,andtargeted therapies.
Energy and Natural Resource Management:AppOrchid’sAI technologyhelpstointegratecomplex windandsolarenergyprofilesintoan electricgrid.Usinghighperformance machinelearning,theAIappscan identifysectionsoftheelectricgrid
thatarepronetofailureandfixthese inconsistenciesbeforetheycripplethe grid.
Actuarial Analysis (Risk Management) for Insurance:AppOrchidcanhelpin combiningunstructureddocuments likecompliance,regulations,market rules,andregionalmandateswithrisk analyticsforsuperiorriskprofilingand evaluation.
Catastrophe Risk and Damage Analysis for Utilities and Insurance: Incorporatehistoricalweatherpatterns, news,researchreports,andsocial media,intocalculationsofriskfrom potentialcatastrophestopricecoverage ordetermineprudentlevelsof reinsurance.
Targeted Risk Analysis:Withthe wealthofindividualinformation availableonpeopleandorganizations, AppOrchidmakesitpossibletoapply AIandcognitivecomputingprinciples toprovideriskprofilestargeteddown toanindividual.Forexample,a Facebookprofileofamountain climbingenthusiastwouldindicatea propensityforrisktakingthatmight warrantadifferentprofilethanagolfer Byunifyingunstructureddataacross historicalclaims,AppOrchidmakesit possibletoestablishgroundrules(or quantitativemetrics)acrossfuzzy
2 0 1 8
baselines,whichwaspreviouslynot possible.
Targeted Therapies in Drug Discoveries:Bycombiningcomplex genomicdatawithelectronicmedical records,unstructureddiagnosisreports andtoxicologyreports,theAppOrchid AIbotscanpredictdrugefficacies, toxicity,andviabilityacrossseveral conditions.Suchpowerfultoolscan dramaticallyhelpLifeScience companiesformulatepersonalized therapiestherebyincreasingthe predictabilityofasuccessinadrug pipeline.
AppOrchidhasover15enterprise customersimplementingover25use caseswithapplicationoftechnologies fromSAPandIBMamongstothers. Forthesegroundbreakingprojects,the companyhaswonmultipleaccolades suchas SAP HANA Innovation award, Gartner cool Vendor for 2016, Top 15 companies to watch, Silicon Reviews’ Top 50 companies to watch amongst others.
KrishnaKumaristheCEOand FounderofAppOrchid.Heisan entrepreneurandaninnovatorwith provenexpertiseintakingconcepttoa market-leadingindustryrecognized commercialproduct.Underhis leadership,AppOrchidhasemerged outofstealthmodewith3products thataresettorevolutionizeCognitive Computing,MachineLearning,andthe “InternetofEverything”markets.
AppOrchidhasplanstoextendits platformusingnextgeneration computertechnologieslikeGPUto gaindeeperinsightsinhealthcare, insurance,andenergy.Forexample, AppOrchidiscurrentlyworkingon usingAItoanalyzemedicalimages andmammogramsthatwillhelpin cancerdetectionataveryearlystage. Althoughthistypeofresearchis alreadyunderwayacrossseveral institutions,theAIplatformapproach isuniqueasitcombineslargevolumes ofunstructuredandotherthirdparty contextualdatasourcestoinfluenceits trainingalgorithms.
Our mission is to create ‘apps’ that make the internet of everything think like a human brain
WithsomuchattentionfocusedonArtificial Intelligence(AI),it’sworthrememberingthat onesizedoesnotfitall.Therearespecific business-relatedpainpointsinmindwhenacompany decidestodeployAItechnology,somakingtheright choicescanbeatrickytask.
Forexample,severalmonthsago,anAIrelated breakthroughwasannounced–arobotlearnedand demonstratedtheabilitytoperformaperfectbackflip. Whileitiswellacknowledgedthattheinvestedresearch anddevelopmentforthismissionwashugeandthe commercialpotentialforsomeapplicationsisenormous,it issomewhatunclearhowthisspecificinnovationorthe coremodelsandalgorithmsofit,canserveotherindustries andverticals.Hereinliestheproblem.
About the Author
Mr. Jay Klein drives Voyager Lab’s technology strategy and core intellectual property. He brings more than 25 years of experience in data analytics, networking and telecommunications to the Company Before joining Voyager Labs, he served as CTO at Allot Communications where he steered Allot’s data inspection and analytics core technology offerings, and as VP Strategic Business Development at DSPG, where he was responsible for strategic technology acquisitions. He also co-founded and held the CTO position at Ensemble Communications while founding and creating WiMAX and IEEE 802.16. He also served as the CTO and VP of R&D at CTP Systems, acquired rst by DSP Communications and later by Intel. Jay Klein holds a BSc in Electronics & Electrical Engineering from Tel Aviv University as well as numerous patents in various technology elds.
GaugingAIsuccessinonefieldinmanycasescanbe meaninglessforanother Tomakethingsworse,evenwhen tryingtogodeeperintothetechnologyandattemptingto evaluate,forexample,whichMachineLearningalgorithms areutilizedbytheproduct,orwhatarethenumberof layersintheDeepNeuralNetworkmodelsmentionedby specificvendors,intheenditwillbepossiblypointlessas itdoesnotdirectlyreflectthesolutiondeployment ‘success’implications.
Nevertheless,itseemsthatthemarketignoresthisreality andcontinuestoevaluateAI-basedproductsbybuzzword checklistsusingfamiliarandrelatedAIterminology(e.g.,
Supervised,Unsupervised,DeepLearningetc.).While checklistsareaneffectivetoolforcomparativeanalysisit stillrequiresthe‘right’itemstobeincluded. Unfortunately,whattypicallyisabsentaretheitemswhich areimportanttothecustomer,fromaproblem-solution perspective.
IntroducingAuthenticAI
Givenallofthis,thereisaneedtochangethenarrative aroundAItechnologyandsolutionstosomething meaningfulandauthenticthatreflectsthereal-life challengesandopportunitiesthatbusinessesarefacing. ThisisthetimetointroduceAuthenticAI.
TheMerriam-Websterdictionarydefines‘Authentic’as both ‘worthy of acceptance or belief as conforming to or based on fact’and ‘conforming to an original so as to reproduce essential features’.Thisisnotabout‘Fake’tobe contrastedwith‘Real’.It’sabouttheessentialfeaturesof AIwhichneedtobeacknowledged,andhence,redefine the‘checklist’.Often,theseessential‘authentic’features arehiddenandonlysurfacewhenaCIO/CDOisfaced withanewproblemtobesolved.Thisisseenespecially whentheAIaspectsofaproposedproductorsolutionare fullyexploredbyaskingquestionssuchas:
- IstheAItechnologyutilizedbytheproductaimed specificallyformyproblem,optimally(e.g., performance,cost,etc.)?
- Isitcapableofaddressingthecompleteproblemor onlyapartofit?
- Canitbeassimilatedintotheexistingecosystem withoutimposingnewdemands?
- Canitaddressthecompellingenvironmental conditionsoftheproblemspace?
Theseissuescanbegroupedintothreedifferent‘classes’‘Original’,‘Holistic’and‘Pragmatic’:
Original–Howinnovativeisthesolution?Thiscanbe quantifiedbyassessingthefollowing:
- theinventionofnewalgorithmsorevennewmodels and
- theuseofcomplexorchestrationtechniquesor - throughthecapabilitytohandlecomplexdataformats andstructures.
Whilethereisnoneedtore-inventthewheelrepetitively foranyproblem,therearedistinctivecharacteristicswhich requireoptimizing.
Holistic–HowcompleteistheproposedAItechnology?It takesintoaccountthecapabilityofhandlingtheend-to-end aspectsofthesolution,thecompetenceofharmonizingthe operationofthevariousAIcomponentsofthesolutionand theabilitytoadapttoeverchangingconditionsoftheAI application.
Pragmatic–Canthetechnologysolverealworld problemsintheiractualandnaturalspaceina commerciallyviableway?Thismeansthatforexamplethe datasourcescanbeprocessedintheirmostnativeformat (bothunstructuredorstructured)aswellasprovide insightsorresultsmatchingthepragmaticneedsofthe specificmarketexpectations.Inaddition,theabilitytobe quicklydeployedandrapidtoactareassessed.
Alloftheseelementsshouldbeusedtosystematically assessandevaluateAI-basedproductsandsolutionsto assesstheirauthenticityandthereforeeffectivenessin specificusecases.
Forexample,manyhome-loanmortgageevaluationand recommendationsystemsutilizeasomewhatisolated machinelearningbasedapplicantclassificationmethod, oneofmanyotherprocessesincludedwithinthesolution. TheAIinthissolutioncannotbeconsideredAuthenticAI toahighdegreeasit‘scores’lowonthe‘Original’and ‘Holistic’classesasitisn’tinnovative‘enough’(froman AIsense).Inaddition,theAIcomponentitselfdoesnot coveronitsowntheend-to-endaspectsofthesolution (henceaffectingtheoverallperformanceandprecision).It couldbeconsideredtobe‘Pragmatic’tosomelevelifit canhandletherequireddatasourcesoffinancial institutionsorthecustomerapplicationsnatively,andifthe solution‘output’aretheexplicitresultsrequiredasa specificrecommendation(e.g.,loanconditions).However, thedeploymenttimeline(time-to-market)andcommercial aspectsneedtobeevaluatedaswell.Thisisjustone exampleofmanyothers,coveringallkindsofvariations.
Perfectbackflipsmaygrantyouagoldmedalifyouarea gymnastbutifyouareamasterchessplayerdon’texpecta winningmove.
Thecomingyearswillspectateatime
whentheentireworkplacewouldlook different.Halfoftheworldhasalready beeninfusedbyArtificialIntelligence.Inthis technologydrivenlife,peopleseldomhavetime towaste.Todaythereisanalternatetoevery problemthatlingerhumans.Letitbeabout automatedorsmartcarsbeingusedtomove around,ortakinghelpof“Siri”‒thepersonal assistanttohelpwithdirections,makeacallorfor anykindofservice.Theautogeneratedtextsthat isreceivedfrombanks,Facebookwishing birthdays,remindersoreventssetincalendars, emailfilteringspammessagesareallperformed throughautomation.Thus,AIhasitsinfluencein everyaspectofone’slife.
Theworldtodayismovinginaswiftmannerand thereisashiftathowwelive,moveand communicate.Timeseemstobebarrierhereas everyoneisinrushtoadapttothechanges.As humans,communicatingtoanotherbeingisvery important.Thereareautomaticsecretariesthat helpinarrangingsuchgatheringswithallthe necessaryinformation.Everythingoutinthe worldisjustatfingertipsaway.Scheduling meetings,orderinggrocery,makingdinnerplans, orderingfoodatworkorathomeanythingis possible.Technologyhasopenedupinfinite opportunitiesandthegrowthoftechnologyin suchasmallspanoftimeiscommendable.How mucheasiercanlifebewiththehelpofthese technologies?Theanswerliesinfuture. Consideringthechangesthathaveoccurredin pastfewyears,itcanbeassuredthatAIis growingandthescopesareinfinite.
Thealluringthingabouthumansisthattheyare alwayslookingforsomethingnewandtheystrive
tomaketheirliveseasier.Itdoesn’tneedageniustoknow thatthedrasticchangeineveryoneslivesandthe implementationofAIistheoutcomeofhumanthinkingand henceitwon’tbestartlingifrobotswouldactuallylive amongsthumans.Ifsuchathinghappensthenthework loadonhumanswouldbereducedtominimal.Isthata goodthingorbad?Howeverfromtheoutsidethisnew worldthatwouldemergeseemslikeeffortless.Mostofthe hazardoustaskslikedefusingabomb,workingatcoal mine,usingheavyanddangerousmachinesandevenatwar fieldwouldbecomelessofanightmare.Amongother thingsAIisplayingamajorroleinbusinessandotherwork
beaturningpoint.Itcanreducetherisksofthefts andotherincidents.
ThereisanothermasterpieceofAIthatcanbe calledasthegamechanger.AIrobotsarereplacing receptionists.Handingmultipleclientscanbetiring andcanattimesevencreateconfusionsandthus replacinghumanswithrobotsisbothimpressive andtimesaving.Imaginehowitwouldfeellike whenyouareenteringamuseumandyouare welcomedbyarobotwhogivesyouaquick, preciseandcleartourofallthethingsinthat museum.Howwonderfulisthat?Robotscaneven bereplacedbyworkersatfactory.Thisbrilliantstep haslotsofadvantages.Workersatcoalminesitesor anysuchmineralsitesarealwayspronetodanger, thereplacementofhumansbyrobotscanreduce thisriskandalsoitwillbehelpfulinincreasing productivity.SimilarlyAIrobotscantakeover worksofadriver,dataanalyst,deliveryboys, advertisingsalesperson,telemarketer,bookkeeping clerksandmanyothersuchstrenuousandboring jobs.Thatisnotalltheycanbealsobeusefulin otherhighintelligentjobslikethatofanaccountant. Arobotwillnevergowrongwithcalculationsand numbers.
Arehumansreadyforthischange?
fields whichgivea possibilityofrobots replacingworkersin themarket.
Asacoinhastwosides,this initiationcouldhavedrawbacks, butthereisbrightersidetoo.If workersarebeingreplacedwithrobots thentherewouldbehigherproductivityand lessertimeconsumption.Therewouldbea changeinthegraphofeconomicgrowthtoo.For exampleautomatedsurveillancecanbeaboontothe entiremankind.Improvedmachinetoolslike360degree videocameras,sensorsthatcancoverallkindsofimages thatpassbywillbringamassivechange.Itmightevenput thejobsofsecurityguardsatquestionbutthischangewill
Thebiggestfearthatlingeredhumanssinceyears waswhatwillhappentohumansifrobottakes over?Seemslikehumansareabouttogettheir answers.AIrobotisnotadreamanymoreratherit isthehardtruththatthecominggenerationhasto face.AccordingthereportsreleasedbyMcKinsey &Company,800millionworkerswouldbe replacedbyrobotsworldwidebytheyear2030.The reportalsostatedthatthecountrieswithadvanced economieslikeU.SandGermanyuptoone-thirdof workforcemightbereplacedbyrobotsbytheyear 2030.Doesthissuggestthattheworkerswould havetolearnotherskillsandfindotherjobs?The futurelooksbothscaryandimpressiveandwhat doesithasinstorecanonlybeunfoldedwithtime.
HumanResourceand e-commercearegoing throughheavyinflection pointandareatthedoorsteptobe disrupted.Thetechniquesusedare verytraditionalandoutdatedthatis overlookingmaximumdatafromthis digitalrevolutionwhichcouldhelp personalizebothusersandbusinessto makeinformeddecisions.Artificial IntelligenceandMachineLearninghas beenintheevolutionofmakingone’s lifebetter.Itwoulddefinitelyhavean impactofobsoletingsomeofmanual jobs,butalsohelpincreatingnew opportunities.Oneofsuchleading companyisDotin,whichispioneering firm,whichprovidesanunbiasedand pervasivetechnologythatenables businessoutcomesbenefittingboththe usersandbusiness.
Dotinoutshinesitscompetitors becauseitsbusiness-to-businessAI SaaSplatformcapturingunbiased personalityofauser(buyersor employeeorapplicants)usingdigital assetsprimarilyimagesextracted throughdigitalfootprintofauser.They havecomeupwithauniqueIPof understandingthetruepersonalityof theusersbyanalyzingthe subconsciousdriveormotivationsof usersthroughtheimages.Imageswere usershavetakenpositiveaction.Like insocialmediaitconsidersimagesthat usershaveuploaded.Itcaneven considerimagesofproductswhichare personalaccessoriesandcomeoutwith
potentialbusinessoutcomestocome backwithtruepersonaandvery powerfulbusinessoutcomes.Theyalso considertheconsciousmindsetdata likeclicks,useractionsincludingCRM datatocreatepowerfulbusiness outcomes.Whatmakesthemdifferent fromtheircompetitionisthese subconsciousdrivealongwith consciousminddataistranslatedtoa verytangiblebusinessoutcomes.Such datacanbeleveragedbyenterpriseto generatesalesleads,dotargeted marketing,bettercustomer segmentation,personalizationin ecommerce,helpwithapplicantsfind therightjoboremployeehiring decisions(findingtherightculturalfit) andevenhelpingwithemployee engagementandretention.
EvolutionofDotin Dotinwasfoundedin2014byGanesh Iyertoaddresshispersonalpain point-“howdoIconnectwitha like-mindedprofessional”toeither growthebusinessorcareer.Asapart ofthisjourneyhealongwithhandful ofdatascientistandpsychologist startedexploringthewaysof understandingthetruepersonalityor motivationsoftheuserstomakebetter recommendations.Duringthecourse ofexplorationofidentifyingthetrue personalitywhattheyrealizedisthat theyneedtopaycloserattentiontothe subconsciousactionsoftheusersthat captures90%ofusers’personalityand decisionmakingtechnique.Ittook3
yearstobuildthebasemodelwithlot ofexperimentswithlivepeople trainingtheMachinelearningmodel, whereithasbuiltanabilitytopredict users’corepersonalityand motivationalinstinctwithoutasking anyquestions.Theinsights,thus created,canbeusedtohiretheright culturalfittalent(withoutaskinga singlequestion),teambuilding, employeeengagement,employee careergrowth,e-commercebuyers personalization,targetedmarketing, customermarketsegmentation,warm salesleadgenerationandmanymore.
IntheHumanResourcevertical,Dotin allowsapplicantstofindtherightjob andteambasedontheirculturalfitinto anorganization.Thisalsohelps recruitershirethebestculturalfit withoutaskingasinglequestion.This helpsinthetimetohiretherighttalent whichisabout2monthsreductionin findingtherighttalentandremoveup to80%subjectivityfromthehiring process.Ithelpsinenhancingthetalent engagement,therebyretention.
Takingonlineshoppingexperience tothenextlevel!
Inthee-commercevertical,Dotin removestheclutterandpresentthe productsandoffersthatresonateswith theuserstherebyenhancingtheuser satisfactionandloyaltytothebusiness orthebrand.Therecommendations
thattheyprovideisgoingbeyondthe CRMdata.i.e.whatelsetheusersmay buyapartfromtheirpastpurchase history,taggingpersonalitytoCRM data.Thiseventuallyleadstoupselling andexponentiallygrowingthe business.
Dotinisstillagrowingventureandso farhasbeenhonest,treatingteam memberswithrespect,being transparentandhasenabledan environment of‘trust’thatisbringing thebestofalltomakeapositivedent inthisworld.Itisa‘PersonalityDNA company’.Definingitselfwithanew categorywithamissionofcapturing thetruepersonalityoftheuserssothat businessoutcomesderivedbecomesa lotmoretangible.
Received
· SelectedasTop25InnovativeHR solutionsfor2018byCIOReview Magazine.
· SelectedasTopStartupat2018 SiliconValleyInternational EntrepreneurForum(SVIEF)AI +BigDataConference, California.
· SelectedforBRIIA.IOand TECHCODEArtificial Intelligence(AI)Accelerator Program.
· Top20PromisingCognitive Solutionsfor2017”alongwith IBMWatsonbyCIOReview magazine
· “NationalInstituteofHealth (NIH)”providinggrantasobese usersweregettinghealthierusing ourplatform.
· “Top3HottestStart-up”Collision 2017
· “Top3HottestFintech/Insurance IndustryStart-up”SiliconValley
Financial Technology ExecutiveWorkshop 2017.
· Selectedfor “CES2017Eureka StartupProgram”
· SelectedbyGoogleto get‘High-Touch’ Marketingsupportfor Free.
· Featuredinvarious articlesincludingVentureBeat, Engadget,KR36,andWorld News.
FootstepstowardsFuture Dotinispioneeringincreatinganew industrycategory–‘ThePersonality DNACompany’,bytaking personalizationtothenextlevel, making‘Search’obsolete.i.e.To presentthecontenttotheusersasthey arethinkingwithouthavingthemeven searchforit.Thiscanonlybeachieved ifyouunderstandthetruepersonality andmotivationsfortheusers!Itisa teamofpassionatetechnologistsfrom SiliconValleywhoarededicated towardsunderstandingtheartof decisionsmadebythesubconscious mindtoyieldpowerfulbusiness outcomes.
Ganesh Iyer FounderMusicisnotjustanart,it’sa
lifestyle.Thereisnothing moresoulfulthanbeing abletoappreciateandenjoymusic. Foranymajorevent,acquiringtickets isaheadache.Thereisnothingworse thanwhentheticketsareeithernot availableorsoldout.Thefeelingsthat rushinstartwithanxietyandendin disappointingheartbreakwhenyou inevitablymissbeingabletowatch yourheroes‘live’.Butonecompany hassolutionstoalltheseproblems:
RobinMedia
WhatmakesRobindifferent?The answerliesintwowords:Artificial Intelligence.AImaymakehalfof today’sjobsoutdatedinthecoming twentyyears.Withtheinnovationsin technologybroughtbystartupslike Robin,therearelimitlesspossibilities ofAI.AIhasbeenredefiningand strengtheningtocombineandrun human-basedbusinessesinanewand improvedways.
Foundedin2016,RobinMediaisa personalconciergeforlive experiences.Robinaggregatesand helpscustomersandbusinessesget ticketstoshowsoftheirchoicethrough personaldatapoints.Themanbehind thisrefreshingthoughtisCEOAdam McIsaac
Thistechnologystartupmines consumptionandsocialdatafrom
customerstohelpthemdiscoverand accessthebestliveeventsand experiencesthatarerelevanttotheir needs,budgetandpreferences Robin providesticketsforshowsincluding, theatre,concerts,sportingeventsand anyotherliveevent.
Unlikemanyotherbusinesses,the hasslesofacquiringticketsare minimal;heretheticketsarejustfew clicksaway Ticketscanevenbe acquiredbyjustdroppingatexttothe ‘Robin’teamandcanevenmakes ticketsavailablebeforetheyevengo onsale.
Embracingnewopportunitiesand breaks,RobinhasalsolaunchedRobin ProfessionaltohelpSMBandlarger organizationstohelptheiremployees experienceliveexperiencesfor corporateentertaining,giftingand employeerewards.Thiswaslaunched asaresulttotheirdiscoveryofneed gapforbusinessandhaslaunchedwith majorsuccess.Robinpartnerswith businessestoprocureamazinglive experiencesforacorporateoffering.
Theadvancementsintechnologyhave openedanewplatformtoallkindsof businessinthemarket.Likemany otherorganizations,Robinhas welcomedandacceptedthischange.
TheteamatRobinMediaisexcited about‘MachineLearning’andhowit canbeusedtomatchconsumersand suppliersintheliveexperiencespace. Theyalsoagreethatpersonalization wouldbeoneofthekeythemesforall e-commercecompanies.“Wethink personalizationisgoingtobeakey themeforalle-commercemoving forward”saysAdam.“Theapplication ofmachinelearningensuresthata storeanditsproductsaretailoredto eachindividualcustomer’sneedsand desires.Newcustomer,newstore.”
Robin’sfirstmilestoneachievement wasbeingapartofthe Techstars Music programinLosAngelessoonafter theirlaunch–aheadofmorethan 1,000applicants.Adamcommentson thisopportunityas“anincredible experiencetobeabletoworkwiththe leadersintheindustry”.Robinhasalso successfullylaunchedanexperimental projectwithanationalprofessional servicesfirmtohelpalltheir employeesaccessamazinglive experiencesforclients-andalsothey havebeenselectedtobeapartofthe SXSWacceleratorprogramin2018.
InthecomingyearsRobinseesitself asanessentialpartofeveryone’s life–includingbusinesses-and makingsurethattheendneedsare pulledtogether.Theyareworking
towardseliminatingthecrisisofpeople gettingboredandprovidingthemwith aneasyandsimpleanswerof‘what shouldtheydotonight?’whilegiving businessesasimpletoolforcorporate benefitsandentertainment.However, theirlong-termgoalistobethe ‘Netflix’forliveexperienceswhereno onewouldrunoutofoptions.Theteam iscurrentlyaimedatmaking‘Robin’,a householdname.
Chris Morales is head of security analytics at Vectra, where he advises and designs cyberattack detection and response programs for large enterprise customers. With nearly two decades of information security Chris is a widely respected expert on cybersecurity issues and technologies and has researched, written and presented numerous information security architecture programs and processes.
Obstaclestostrongercybersecurity Thethreebiggestobstaclesto strongercybersecurityareallabout skillsandresources:lackofskilled employees,followedbylackofbudgetand lackofsecurityawarenessamongemployees.
Theskillsgapwasnotcreatedjustbyalack ofproficientsecurityprofessionals.The exponentialgrowthinconnecteddevices meanstheamountofworkrequiredtomonitor andanalyzeallofthemhasgrowninparallel.
Mypersonalexperienceisthatwehavemadeit toodifficultforsomeverysmartpeopletoenter ourindustrywhileaskingsomeverytalented peoplewhoarealreadyincybersecurity totakeonalargeramountofbusy work.
Toaddressevolvingsecurity needsinthecomingyear, mostorganizationsplanto trainandcertifyexisting ITstafftobecome securityexperts.Most cybersecurity professionalsstarted theircareersinITand
thenmigratedtowardcybersecurityovertime,usuallydue topersonalinterestandself-taughtability Thereis somethingtobesaidaboutrealworldtraining.
However,wecan’trelyonjustcareerprofessionals;wealso neednewrecruitsintrulyentry-levelroles.Weneedour schoolstostartbuildingthesecurityanalystsoftomorrow.
WhatwehavediscoveredaboutAIisthatitnotonly reducestheworkloadforexistingsecuritystaff,butitalso reducesthebarrierofentrytosecurity
Attacksfrequentlycompromiseorganizations,andfast responseistheonlyhopetoreducetheimpact.Performing incidentresponseeffectivelyisacomplexundertaking requiringahighlevelofknowledgeandalotofwork. Establishingclearproceduresforprioritizingthehandling ofincidentsiscritical,asisimplementingeffectivemethods ofcollecting,analyzing,andreportingdata.
Withoutawell-trainedandcapablestaff,incidentdetection andanalysiswillbeconductedinefficiently,andcostly mistakeswillbemade.Augmentingexistinganalystsand juniorstaffusingAItocreaterepeatableprocessandthe abilitytomanagelargevolumesofdataatscaleisthebest waytocombatthisproblem.
Thetrickistounderstandthecorrectwaytoapplymachine learningandwhatproblemareyoutryingtosolve.The wrongtoolcanincreasethetimetoaccomplishatask, wastevaluableresources,orworse.Leveragingthepower ofmachinelearningisnodifferent.
Useattackcomplexitytoyouradvantage. Sohowdoesallthisdatasciencereallyensurewefind attackers?Itboilsdownvisibilityoftheentireattack lifecycle,whichbecomesabigdataproblemwellsuitedto datascience.Attacksfundamentallyallperformalotofthe samebehaviorsasthereisacertainsequenceofeventsthey mustfollowtosucceed.
Bylookingforallthebehaviorsthatanattackercould performacrosstheentireattacklifecycle,wedramatically increasetheprobabilityofdetectingattacks.
Themorebehaviorsthataredetected,thebetterthe awarenessoftheattack.Bycombiningbehaviors,wealso
moveawayfromthepurelyhumanbaseddecision-making processofwhatisanincident.
Cognitoprioritizesthehighestrisks Prioritizingthehandlingoftheincidentisperhapsthemost criticaldecisionpointintheincidenthandlingprocess. Handlingshouldbeprioritizedbasedontherelevant factors.
Theoutcomeofthecombinationofmultiplemethodsof datascienceistheabilitytoinstantlyextracttheattacksthat trulymatterfromtherestofthenoiseintheorganization, realornot.Machineintelligencedetectsevents,triages thoseeventstoasinglehost,andthenprioritizestheones thatmattermostforfastanalysis.
Improveincidentresponse
Containmentisveryimportant.Agoodcontainment strategyprovidestimeforthesecurityteamtodevelopa remediationstrategy Anessentialpartofcontainmentis decision-making.
Suchdecisionsaremucheasiertomakeifthereare predeterminedstrategiesandproceduresforcontainingthe incident.Youneedwell-definedplaybooksandoptionsfor responsebasedonthetypeofincident.Byprovidingthe rightcontextaboutanattackrightwhenithappens,AI providestheintelligenceneededtomakedecisionsabout whattherightcontainmentstrategyis.
Thebestplacetoperformcontainmentiswithintheexisting infrastructurealreadyinplaceandtodriveintelligenceinto thatinfrastructuretocreateanintelligentincidentresponse process.
WhenAIormachinelearningisthefoundationbehinda product,thepromisesthattheproductmakesshouldbe specificandmeasurable.Thepowerofthesetechnologiesis inthenumbers.
Theresultsspeakforthemselves.Acrosseverytypeof organization,thereisameasurabletrendwithorganizations thathaveimplementedAItoautomatetediousincident responsetaskstoaugmenttheSOCmanpower.
Intoday’sworldpeoplehardly havetimetowasteonanything. Everythingismovingata breakneckspeed.Letitbelife, businessortechnology,everyday thereissomethingnewtolook forwardto.Intoday’sworldtheonly limitationplacedareatour imaginations.Callhumanslazyor smartbutsinceourexistencewe havebeenlookingforeasierwaysto doourmenialtasks.Thebiggest advantagethatcameourwaywasthe progressesintechnology. Technologieshavemadelivesmuch easierandfaster.Artificial Intelligence(AI)issomethingon whichwehavebeenworkingonfor decades.However,therecent developmentshavebeenproductive.
AIhasinvadedintothelivesof humansineverywaypossible. Startingfromtransportation,cyber technology,inventionofrobots, solvingclimaticchanges,enhanced eldercareandtorunthebusiness.AI isnowcontributingtheirbitinto everything.Researchersand scientistshavecommentedonthis situationbysayingthateventhough theydon’tknowwhatthefuturehas instore,itisevidentthatsoon enoughwewouldbeinteractingwith AIasoureverydayactivity.
Inthisfastpacingworldhow efficientlyarewesuccessfulat planningameeting?Aboveallmuch timeisbeingwastedtocoordinate, plan,scheduleandreschedule.Letit beforapersonalmeetingorbusiness meetingsoranykindofgathering, wetendtoplanitquicklyand effortlessly.Practicallynoneofusis abletomanageandplanthings withoutmissinganycrucial informationtobementionedor persontobeinvited.Thechaosthat followsiswell-known.Thegood newsisthatKono.ai;anartificial intelligencesecretaryservice providerwillnowbethesavior
Kono.aiisthemostskilledassistant thatwouldhelpinarrangingofficial orpersonalgatherings.The procedureispainless,andallthat needstobedoneistohirethe ‘Kono.ai’assistantandaddthe ‘Kono.ai’mailid.Thisassistantwill laterselectandsharetheGoogle calendarsyncedwithyourmailwith guests.Oncethetimeisconformed Konowouldthencirculatethe calendarinvite.Theconcerns regardingsharingyourbusinessor personalcalendarwithanoutsideris notconvincingatitsoundsittobe. Contrarily,Konoiswillingtoworkat
aroughtimeframe.Apparently,if thecustomerjustsendsamailthat says,“Let’sfindsometimeearlynext week”.Konowouldworkwiththis uneventimelineandfindaproper timetoschedulethemeetings.
Foranygatheringtobesuccessfulit isimportantthattheguestconfirms theirarrivalandalsothatthetime slotselectedsuitsthemtoo.Incase ofamendmentsoranysuggestions regardingthetimefromtheguests sideisalsotakencareoff.Kono acceptsretortsfromtheinviteestoo. Theyhaveprogrammedthemselves insuchamannerthattheiroperators (AI)understandhumanlanguage.Or else,Konohasprovidedoptions wheretheguestscanoptaccordingto theirpreference.
SincetheestablishmentofKono.ai onNovin2014,theyhavecomea longway.Thebrainsbehindthis amusingthoughtareofYJMin, JaehoonChoiandJung-heeRyu.YJ currentlyservesastheCEOand JaehooncurrentlyistheCTOofthis startup.Jaehoonisalsothefounder ofhisownstartupnamedOpinion8 whichhasbeenmergedbyKonolabs. Jung-heewastheformerCSO& FounderofOlaWorksacquiredby
2 0 1 8
Intelforover$30mil.Atpresentheis alsotheFounderandCEOof FuturePlay,atechcompanybuilder basedoutinKorea.
AtKonolabstheyusetheirbigdata analysismachinelearningtechfor theworld’sprofessionalstofocuson theirmajorjobandnotthedulltasks. Theyfoundthatthehuman employeesandtheircustomersare havinghugegapstoschedule meetingsandcallswhichtheyhave takenuponthemselvestohelpin scheduling.Oneofthemost contributingfactorsbehindtheir successistheagileanddiversified researchanddevelopmentteam.The geeksatKono.aiarewellversedwith machinelearning,mobile/web productdevelopmentanddata analysis.
Climbingtheladderofsuccess, Kono.aiwasselectedasoneofthe accelerationteamsofTAGPass PrograminSingapore.Amongthe otherachievementsincludesthe winningoffirstprizeattheTech CrunchPitchOffeventinSeoulin Korea.Theywerementionedinthe VentureBeatasoneofthemost promisingstartupsof500Startups Batch13.
Kono.aiarguesthatanaverage workerspends16.7hourspermonth inordertoscheduleappointmentsor othermeetings.Kono.aihastakenthe responsibilityuponthemtomakethis taskmuchsimplerandinthismanner tomanagetime.Theyalsobegto
differastheypromisetoprovide betteruserexperienceonmultiple platforms.Theybelievethatthe recentdevelopmentsintechnology likeMachinelearningispowerfulas itwouldhelpinprovidingbetter performanceandaccuracyin understandingnaturallanguage.They claimthatsecurityandscalabilityare importantmattersforAIandML basedservices.ButKono.aihave thoughtitmeticulouslyandplanned totackleoneproblematatime.
TheteamatKono.aiaimstosolve otherproblemsandprovideother servicesapartfromschedulingthe meetingsbuthowever,theywould sticktothebasicgoalofproviding innovativeservicestotheworld’s professionalsbasedontheirpatented technology.
Kono.ai is designed in a way that it narrows the gap between employees and customers by providing the intelligent scheduling agents
YJ Min Co-founder & CEO
CloudcomputinghaschangedthefaceofcustomermanagementbyprovidingeverySMB’san opportunitytounifydataandcommunicationplatformwithoutinvestingheavilyon‘on-premise’IT infrastructureandstaff.Nowit’stheturnof Artificial Intelligence (AI).Those(companies)whoadapt AIwillremainintheraceandthosewhowon’tsimplylagbehindandeventuallymightloseinthelongerrun.
FacetsthoseareAttractingEnterprisestowardsit
AIalongwithPA(PredictiveAnalysis)havepotentialtomakeallaspectsofCRMbetter,fromsentimentand intentanalysistoproductrecommendation,upsellingandleadscoring.Moreover,theabilityofAIpowered toolstoscaletheeffortsofsalesteambygleaningusefulpatternsofdata,findingsuccessfulcoursesofaction andtakingcareofthebulkoftheworkforaddressingcustomers’needsandgrievancesplaysacrucialrolein managingCRMoperationsinanefficientway
TheefficientusageofAIandPAteachorganizationstodomuchbetterjobintermsoftargetingpotential customersanddecisionmakersbycalculatingwhichpersonalandprofessionalattributesholdsthemaximum
value.Thepotentialofcreatinga systemofcontinuousimprovement forsalesandmarketingteamsis somewhatattractingorganization towardsthesetechnology,since ‘salesisthefuelwhichkeepsthe wheelsofanorganizationrunning.’
LandmarkSolutionsthatare showingFutureDirection
Salesforce,Oracle,SAP,Microsoft andAdobearesomeofthe Industrygiantsthoseareinvesting heavilyonAIandeven successfullydevelopedmany landmarkproductsandservice basedonAIthathavethe potentialtochangethe landscapeofCRM industryforever.By lookingdeeperinto thoseproductsand servicesonecan predict:whatkindof roadCRMindustryis goingtotraverseincoming times?
Salesforce,theleaderof CRMindustryhaslastyear developedaground-breaking product Einstein,anAIassistant whichhastheabilityof continuouslyprocesscolossal amountofdatawhichSalesforce collectfromsales,e-commerce activity,emails,socialmedia streamsandothers.Thispowerful assistanthelpsalesrepresentativeto focusonthemostpromisingleads basedonengagementdataanalysis
andgivesadviceonwhentotriggeremailcampaignsaccordingtocustomerresponsehistory.
SAP,anotherprominentplayeroftechspacehasjoinstheAIraceandaddednewAIfeaturestoits S/4HANAcloudERP.Its tacked-on featuresprovideautomatedinsightsintothebusinessdatawhichthe systemcollects.Thisincludesmonitoringaccounts,preparingchartoftopvendorsforanorganization basedontheirpastperformance,pricingandabilitytodeliver.
OraclealsoshownagreatinterestinAIandannouncedadistinguishedprojectknownas Adaptive Intelligence. Thisprojectwilltestfeasibilityofaddingseriesofapplicationstoitscloudsuite.Theseapps havethepotentialtocombinethird-partydatawithreal-timeanalyticstoprovideoptimizedecisionsand recommendations.Forexample,AIenableapp’stomergesdatafromthecompanycloudandtheOracle DataCloudtoextractmeaningfulinsightsrelatedtoindividualcustomerbehaviorsandprovide personalizedoffers.
Ameliaisabotthatassistcustomersinresolvingtheirqueriesusingnaturallanguageprocessing.It understandscustomer’squeriesandprovidesthemdesiredanswerbasedondatagatheredfromprevious interactionsandtheknowledgebase.Generally,thisbotisabletosolve55%ofincidentsandwhenitdoes nothavetheanswersorsensesafrustrationorhostility,itpassesthebatontoahumanoperator.
Leadingmarketintelligencefirm,IDC(InternationalDataCorporation)hasforecastedthatAIenabled CRMactivitiescouldincreaseglobalbusinessrevenuesby$1.1trillionandcreateeightlakhnewjobs apartfromtwomillionadditionalindirectandinducedjobs.TheglobalmarketforAIpoweredCRMis estimatedtogrowfromexisting$7.9billionto$46.3billionby2021.Thishugerevenueboostwillleadto increaseproductivityandlowerexpensesduetoautomation.
Accordingtoreport,theyear2018willprovetobealandmarkyearforAIadoptionasmorethan40% companiesarereadytoadoptAIinupcomingfuture(maybewithinnexttwoyear).IDCfurtherestimated that75%ofenterpriseswillincludeAIormachinelearningfunctionalitiesinatleastoneoftheirbusiness application.46%oftheAIadoptersreportthatmorethan50%oftheirCRMoperationsgetexecuted throughcloud.Therefore,cloudvendorsareexpectedtoleadtheraceofdeliveringAIsolutionto customers.
Withallthesegreatadvancements,betterfunctionalitiesandpositiveeconomicprojections,itwouldbe fairtoconcludethatAIandPAholdgreatimportanceindecidingthefuturecourseofactionforCRM industry.ButonlytimewilltellhowdeeplythesetechnologieswillcontinuetodisruptnotjusttheCRM sectorbutotherbusinessesaswhole.Itwillbeinterestingtowatchhowthisseismicshifttowardan intelligentandproactiveapproachwilleventuallyplaysout.
Recentresearchstudiesstate theInternetofThingsmarket isexpectedtoreach$1.6 trillioninindustrialindustries,$1.2 trillionincommercialindustries,and $1trillioninconsumerindustries withinthenextcoupleofyears. Althoughthissuggestsapositive outlookforthemarket,companiesare strugglingtogenerateintelligencefrom operationaldatacollectedbythese connectedmachines.Edgecomputing solvesthisbybringingbigdata, streaminganalyticsandmachine learningascloseaspossibletothe devicesproducingthedata.Companies seeincredibleimprovementsoncethey translatetheirdataintoactionable insightsusingedgecomputing, machinelearning(ML)andartificial intelligence(AI).Thesetechnologies willhelpprocessmassquantitiesof dataanddeliverinsightstohelp companiesapplypredictive maintenance,improveyieldand quality,enhanceworkersafety,and more.
Newservicesfrommajorcloudand softwareproviders,includingAWS, MicrosoftandIBM,relyonsending datatothecloudforprocessing. TM However,FogHornSystems offersa transformationalcomplimenttothis cloudapproach,loweringcosts, reducinglatencyandoptimizing industrialoperationsforthereal-time
processesinmanufacturing,energy,oil andgas,andmore.Becausethousands ofsensorsareconstantlysendingdata attherateofevery20or30 milliseconds,muchofthisinformation isuselesswithinminutes,oreven seconds.FogHornenablesbusinesses totaketheinformationthat matters–theanomaliesorpatterns unearthedthroughanalyticsapplied directlyattheedge–andtranslateit intooperationalintelligence.
LeaderinEdgeIntelligenceSoftware forIndustrialIoT FogHorn’sindustrialIoTsoftware stackprovidesanefficientandhighly scalableend-to-endsolutionthat blendsthebenefitsofreal-time,on-site processingofsensordatafrom industrialmachineswithcloud-based management,analysisandmachine learning.DavidC.King,CEOof FogHornSystemscontinuestodesign anddevelopinnovativeideasandnew capabilitiesinthisfast-changing market.PriortoFogHorn,Kingled AirTightNetworks,atechnology leaderinsecurecloud-managedWi-Fi, throughfoursuccessfuluproundsof VCfunding.Additionally,heservedas PresidentandCEOofProxim,a pioneerinWLANsandthefirst publicly-tradedWi-Ficompany.
KingsupportsFogHorn’sglobal customersandpartnersastheyrollout
abroadrangeofpowerfuledge intelligenceapplicationsforindustrial andcommercialsystems.Toinspire creativityandinnovationinthe workspace,heguidestheorganization tohirepeoplewithgreatpassionand curiosityaboutnotjusttechnology,but alsootherhobbiesandinterests.He looksforworkerswithasuccessful trackrecordthathelpedbuildmarket shareandmoveinnovativenew productsfromearlyadoptiontomass market.
FogHornisaleadingdeveloperof “edgeintelligence”softwarefor industrialandcommercialIoT applicationsolutions.FogHorn’s Lightning™softwareplatformbrings thepowerofadvancedanalyticsand machinelearningtotheon-premise edgeenvironmentenablinganewclass ofapplicationsforadvanced monitoringanddiagnostics,machine performanceoptimization,proactive maintenanceandoperational intelligenceusecases.FogHorn’s principaladvantagestemsfromits unique,high-speed,tinyfootprint computeandmachinelearningengine. ThecompanydesignedtheCEP™ (complexeventprocessing)engine fromscratch,anditenablesFogHorn torunthecompleteIoTedgeanalytics softwarestacknexttomachinedata sources,ratherthanshrinkingdown existing“bigdata”enginesdeveloped
forresource-unlimitedcloud environments.
FogHorn’splatformpacksalotof powerintoanexceptionallysmall footprint.ItsLightningplatformruns seamlesslyontheindustry’sbroadest spectrumofindustrialdevicesand processorsandtrulyembracesthe paradigmshifttosmall-computeand local-processingonconstrained devices.Byapplyingintelligenceatthe edgewhereIoTdevicesoperate, FogHorn’sLightningplatform significantlylowerscloud-related bandwidthcostsbyrefocusingtherole ofthecloudtoveryspecificfunctions suchasapplicationportabilityand provisioningorchestration,machine learningandadvancedcloud/edge analytics.Connectedcarsand autonomousvehicles,forexample,will beabletoprocessdatafrom instrumentsandsensorslocally,in-car, inreal-time,whichwillenablecritical safetydevelopments,suchasaccident avoidance,emergencybraking,aswell asmission-criticalsystemsmonitoring likeairbagfailure,andmore.
Amongitsmostrecentaccolades, FogHornwasnamedtothe:CRNIoT 50,CBInsightsAI100,IoT BreakthroughIoTStartupoftheYear, TechTrailblazerFinalist,andasaCIO MostPromisingAISolutionsProvider. Theseawardscomealongsideindustry recognitionfromleadinganalystfirms, includingGartner,whonamedthe companyintheir“CoolVendorsinIoT EdgeComputing,2017”report.Frost &SullivanalsorecognizedFogHornas
aleaderintheIoTand manufacturingspace.
Inaddition,FogHorn announced$30million inSeriesBfundingin October2017tosupport fastergrowth.Intel CapitalandSaudiAramco EnergyVenturesledthe round,withnewinvestor HoneywellVenturesandall previousinvestors participating,including MarchCapitalPartners,GE Ventures,DellTechnologies Capital,RobertBoschVentureCapital, YokogawaElectricCorporation, DarlingVenturesandTheHive.
ResidingFuturewithIIoT FogHorn’ssolutionsareideallysuited forOEMs,systemsintegratorsandend customersinmarketssuchas manufacturing,powerandwater,oil andgas,mining,transportation, healthcareandCPG,aswellassmart grid,smartcityandsmartcar applications.FogHornhaspioneereda globalshifttoedgeintelligence, comprisedofreal-timeanalyticsand machinelearningdeployedonvirtually anydeviceinindustrialand commercialoperations.Thecompany recognizesthetransformational improvementintechnologyand deliversacrossawiderangeof industries.FogHornbelievesthatit willresultinitsLightningsoftware residinginalargepercentageofthe projected50billionconnecteddevices bytheyear2020.
C. King CEO of FogHorn SystemsIntelligent edge software platform enabling unprecedented levels of automation, operational efciency, and cost savings
Theworldhaswitnessedsweepingimprovementsin
technology Withsmartphonesandinternet connectionsthewholeworldisconsolidatedin one’spocket,whichisaveryfascinatingsight.Whatis moreamazingisthatallofthishappenedsofast.Asdays passeveryoneismorespellboundwithtechnologiesitis engulfingthemindaytodaylife.Lookingatthepresent scenarionoonecanbesureaboutwhatthefuturehasin storebutwemightbewitnessinganagewhererobots wouldbelivingamongstus.
Lookingafewyearsbackbeforeinternetcameintoour lives,therewereuncertaintiesregardingfuture,whileat presentmachinesarelivingamidstus.Thesmartbrains haveinfusedtechnologyineverybitofourlivesandsoon peoplewouldbedrivingcarswithoutdrivers,machinesthat woulddogroceryshoppingandwillbeahelpinghandtoall laboriousworks.Alloftheserecentdevelopmentsor gradualchangesarebecauseoftheimprovementsin ArtificialIntelligence.InamilderwayArtificial Intelligence(AI)canbedefinedasthecomputerprograms ormodelsdesignedtoperformataskthatusuallyrequires humanintelligence.
Therecentinnovationsmakeeveryonewonderwhatall otherchangesareyettobewitnessedincomingyears.AI hasbeenswayingourlivesinmanyways.Researchershave claimedthatscientistswereableinventsomebreakthrough theoriesandmachineswiththehelpof‘machinelearning’.
Smartcarsarenowawell-knownconcept.These self-drivingcarsarethebeginningofadecagonwhich wouldchangethewaywemove.Imagineatimewhen peoplewouldbereadingnewspapersontheirwaytooffice whilethecarisdrivingitself.Thisisbothintriguingand unbelievableincertainways.Automatednewsisyet anotherenthrallinginventionthatisnowgettingpopular. Apparently,artificialintelligenceprogramscannowwrite newsstories.Thefactthatsuchabasictaskcanalsoget influencedbyAIisintimidating.Onlinecustomersupport hasbeeninpracticesincefewyearsnow.Manyofthe websitesarenowusingthisskilltocommunicatewiththeir customersdirectly.
Appsthatrecommendmusicandmovies,smarthome devicesthatstudiestheresident’sbehaviorsandsuggest
changesaccordingly AIisplayingamajorrolewithor withoutyourknowledge.Haveyoueverwonderedhow ‘Siri’actuallyhelpswiththedirectionswhenyou command?Howthespamfiltersworkine-mail.?Attimes theimplicationofAIinourlivesisobviouswhileatcertain timesitgoesunnoticed.Buthowever,itisafactthatAIis everywhereanditismakingahugedifferenceineveryone’s lives.Soonwouldcomeatimewhenhumanswouldhavea robotoracomputerprogramhelpinghumansatevery minorandmajortask.Sothenearfuturewouldwitness improvementsintheseareasandmanymoretocome.
WhateffectwillAIhaveonhumanexperience?Humans arebothindolentandsmarttothinkofwaystogetajob doneinaneasierwayandhencehavebeenworkingonthis sinceages.Theideaofrobotswasalwaysatopicof excitementandmanyhavebeendreamingandworkingto makerobotsareality.However,astimehaspasseditis evidentthatmanyofthebrightestmindshavetakenAIto greatheights.WhenitcomestoAI,ithasbeenprovedthat thereisnolimitationandhasnowemergedasagreater missionwithmoreandmorepeopleworkingonit.
Despitewhattechnologyhasbeenabletodo,istheworld readytoacceptthesechangesinawidescale?Thepointto benotedhereisthatashumanslearnwithexperiences,one doesnotknowwhatsuccessisunlesshehastastedfailure. Thisaloneworksasmotivationtostriveandworkhardto achievesuccess.Manytimesweneedtotouchahotstuffto knowandfeelthatitishotandshouldn’tbetouched. Humansarenotprogrammedtheylivethroughthe experiencetoknowitall.Therightsandwrongsaretaught tohumansandnotprogrammedwhereintheoutside influencesarealsoamajorfactorofknowledge.
NeverthelessAIisprogrammedwhichmeansitcould understandbetterthanwhatindividualsarecapableoff.It wouldn’tbeasurprisetoknowthattheremightberobotsin nearfutureprogrammedwithevenhumanemotions.This raisesthequestionwhetherhumanswouldcomeintheir wayofmakingthisworldmucheasiertolivein.Alike manysci-fimovieswouldthepeoplebethebystandersofa worldsolelyleadbymachinesandrobots?
Tanjocreatesplatformsfor,and interfacesto,theincreasingly intelligentnetworkofhumans andmachinescooperatingwitheach other Theirpowerfulmachinelearning brainistheoptimalcombinationof humanandmachinelearning intelligencetohelppeopleachievethe rightbalancebetweenhumansand automationtooptimizeoutcomes.
ThecentralthesisofTanjoisthat successfulindividuals,companies,and st evengovernmentsinthe21 century, willbethosewhoachievetheright balancebetweenhumanandmachine effortandintelligencetooptimize outcomes.Thosewhogetitrightwill prosperandprevail.Thosewhofailto achievethisbalanceorevenlagbehind willnolongerbecompetitiveandwill soonbeconsideredhandicapped.
Manyfirmstodayareawareof machinelearningandareworkingto harnessBigData.AndTanjobelieves thatthereisabigleapfromBigData toInformation,andanevenbiggerleap fromInformationtoIntelligence (Informationthathasbeencomputed andispresentedtohumanstomake decisions).Thecompany’smachine learningbrainhelpstheirclientsto makethefullleaptoreal-time, actionableintelligence.
“The central problem of the century
is how to achieve the right balance between humans and automation to optimize outcomes.”
TheSpiritedPersonasofTanjo FoundersRichardBoyd,CEO,and DavidSmith,Chairman,have workedtogetherfor27yearswithtwo verysuccessfulexitsincomputer gamingandsimulation.Theyspent almostsixyearsdeveloping technologiesataerospacegiant LockheedMartinwheretheyfounded aninnovationgroupcalledVirtual WorldLabs,focusedontheemerging fieldsofVR,ARandAI.Theteam’s deepbackgroundbuildinglarge constructivesimulationmodelsof humanpopulationsfortheDOD, pairedwiththeirentertainment, human/machineinterfaceanddata scienceexpertisemakeforaunique combinationofcapabilities.
WhileatLockheed,BoydandSmith wereaskedtovisitMicrosoftResearch labsin2009whereinventorAlex Kipmanwasleadingtheteamto developtheMicrosoftKinectsystem forthexBox.BoydandSmithcame awayimpressedwiththemachine learningmethodsemployedtoteach theKinectsensorsystemhowto recognizepeopleandobjectsinliving rooms.In2013,theyleftLockheedto buildtheirownmachinelearningbrain andTanjowasborn.
TheExceptionalOfferingsbyTanjo Tanjohavethreeprimaryproduct offerings.Thefirstistheirpowerful machinelearningbrainthatthe companyhastrainedoverthelastfour years.Beinguniqueintheindustry, TanjoprovidestheentirebrainandAPI toanyorganizationtodeployontheir ownnetwork,insidetheirfirewall,and undertheirfullcontrol.Thebrainthen learnsfromtheorganizationandserves asanenduringassetrepresentingallof theknowledgeofthatorganization.A braininsidealargeaccountingor architecturefirmistrainedonthat practicebeforedeployment,butsoon learnshowinformationworkerswithin thatfirmpracticetheirprofession;and becomesanenduringrepresentationof theworkflowandorganizational knowledgeofthecompany Tanjois alsosuccessfulinprovidingthisto researchorganizationsandinstitutions ofhighereducation.
“Machinelearningcreatesanew opportunitytoamplifyhuman intelligenceandautomate processes.”SaidTimWilson, ExecutiveDirectorforthe BellwetherCollegeConsortium, “WearepartneringwithTanjoto haveourmostinnovativeschools harnessmachinelearningtoboth preserveinnovativeeducationbest practices,andhelpdevelopnew methodstoassiststudentsintheir
educationaljourneysandpreparethem foranincreasinglyautomatedworld.”
ContractBot:Onesubapplicationof theTanjobrainwasbuiltforamajor accountingfirmin2017.IntheUnited Statesnewrevenuerecognitionrules werebroughtintoeffectfrom December1,2017.Withinafour monthtimeframeTanjotaughtthe Tanjobrainthenewrevenue recognitionrulesandthentrainedon over2.5millionsalescontracts.Now, thefirmcansimplyfeedacompany’s contractstotheTanjobrainanditwill aidthehumanauditorinhighlighting anylanguageinthosecontractswhere therulesapply.Thisisagreatexample ofhuman/machinecooperation, achievingefficienciesofover12x.
In2016,TanjosetasideaTanjobrain andhaditreadeverysinglelegal opinioninUnitedStateshistoryacross all417federaljurisdictionssince1797. Theprojecttookthesystemlessthan twoweekstocreateacorrelatedmap ofalmostfourmillion(somewhat lengthy)legalopinions.
Tanjo’sthirdofferingusesmachine learningtoingestdataexhaustfrom humanactivitytobuilddeepmodelsof humanbehaviortheycall Tanjo Animated Personas, or “TAPs”.These TAPsarepowerfultoolsforcreating deepcustomerempathy,andhavealso beenusedwithinorganizationstobuild strongerinternalteams(human resourcesapplication)orforhigher educationtoimproverecruiting methodsandeventeacherempathyfor morepersonalizedlearningpathsfor students.
Deepercustomer understandingwith TAP
Tanjolearnedthat consumermarketing companieswere spendingagreatdealof moneyoncustomer segmentationmodeling. Thesemodelswerestatic momentsintimeand derivedfromsurveysand focusgroups.Tanjo contactedsomeofthetop academicmindsinhuman behaviorchoicemodelingand createdtheTAPplatformtogive companiesareal-time,data-derived simulationmethodforimproving customerempathyanddeeper customerconversations.
TheTanjoAnimatedPersonas(TAP) platformallowsmarketerstohavea newdeeplevelofinteractionwith customersegmentsfortheirproducts andservices.Usingmachinelearning, TAPcreatesdynamicsimulated customermodelsfromarchetypal customersegmentationresearchand bringsthatdatatolifeintheformof syntheticcustomerpersonas.Marketers cannow,finally,watchasthese syntheticcustomermodelsviewand digestonlinecontent.PresentaTAP modelwithaproductmessageandsee itrespondto(andscore)that messagingfromtheviewpointofthat customersegment.TAPbringsdeep customerconversationstolife.
The central problem of the 21st century is determining how to achieve the right balance between humans and automation to optimize outcomes.