深度學(xué)習(xí)人工智能平臺(tái) – 自建還是購(gòu)買

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DeeplearningAIPlatform–Buildvs.Buy?

10reasonswhycompaniesshouldthinktwicebeforedevelopingadeeplearningplatformin-house.

WhileimplementingahomegrownAIsoftwaresolutionhasbenefits,itsdrawbackscanbequitecostly.

Hereare10reasonswhycompaniesshouldthinktwicebeforedevelopingadeeplearningplatformin-houseandshouldoptforbuyingdeeplearningormachinelearningsoftwareinsteadofbuildingfromscratch.

SunkCosts

HighEffort

TechnologicalInnovation

Validation

Maintenance

Support

KnowledgeTransfer

Standardization

Productivity

AccessibilitytoaLargerAudience

Whenplanningtoimplementdeeplearningsoftwareintoamachinevisionapplication,manufacturers

faceadilemma:Shouldtheyuseastandardsoftwareplatformtodeveloptheirmodelsorbuildaframeworktailoredtotheirneeds?

Manybelievethatdesigningtheirownplatformwillbringmoreflexibility,allowingthemtotailorthesolutiontotheirownspecificneedsandexistingprocessesandsystems,bothintheinitialdevelopmentandlaterovertime.CompaniesalsovaluetheownershipofallIPrelatedtoatoolthatmightgivethemacompetitiveadvantageandtheabilitytolicensethattooltosubsidiariesorsistercompanies.

Inmostcases,however,suchinitialambitionscrashonthewallofreality.Creatingandmaintainingartificialintelligence(AI)softwareisnotatrivialthing,andmanufacturerswhosecorebusinessisnotsoftwaredevelopmentoftenunderestimatethechallengesofsuchanendeavororignorethemaltogether.

SunkCosts

Machinevisiontechnologyhaslongservedthemanufacturingindustry,whichrequiresaparticularlyhighlevelofqualitycontroltoensureconformitywithallsafetyregulations.Recently,deeplearninghashelpedimprovetheaccuracyandflexibilityofmachinevisioninspectionsystems.

WhenoneofleadingmanufacturersturnedtoLandingAItobuildmachinelearningmodelswithLandingLens,ithadalreadybeenworkingformorethanayearwithagroupofmachinelearningengineersinseveralfacilitiesonaself-developedmachinelearningplatform.Thesoftwarewasnotyetreadytobeimplementedandwassocomplextooperatethatonlytwomachinelearningexpertswereabletouseit.

Completingtheprojectwouldhavecostanotherthreeyearsofdevelopmentforanestimated$1.5million,andmaintainingthesoftwarewouldhavecostanother$3millionoverthesameperiod.

ThecompanydecidedtostoptheprojectandinsteaduseLandingLens,anend-to-enddeeplearningplatform,whichprovedmucheasierandfastertoimplement,withalargerteamabletocollaborateondevelopmentandatamuchloweroverallcost.

UsingLandingLens,anend-to-enddeeplearningplatform,provedmucheasierandfastertoimplement,withalargerteamabletocollaborateondevelopmentandatamuchloweroverallcost

HighEffort

Buildingadeeplearningplatformisnottrivial.Itrequiressignificantresourceswithanequallyhighlevelofexpertise.Manycompanieseitherdon’thavetheseresourcesorneedtopullthemoutoftheircorebusinesssoftwaredevelopmentresources.Somedecidetopursueacustomsolutionandoutsourcethedevelopment,butthisexternalresourcecomesatacosttoo.Inanycase,programmingyourowndeeplearningplatformwillcostalotoftimeandmoney,withlittlepredictabilityaboutwhenthesolutionwillbereadyforproduction.

TechnoogicalInnovation

AIisanareaofextremelyfast-pacedinnovation.Newresearchanddevelopmentfrombothacademiaandindustrykeeppushingtheboundariesofwhatispossiblewithdeeplearningandmachinelearning.ItishardlypossibleforacompanywhosecorebusinessisnotAIsoftwarespecificallydesignedforcomputervisiontokeepuptodatewiththetechnology.Asaresult,homegrownsolutionstendtobeoutofdatebeforetheyevengointoproduction.

Validation

Developinggreatsoftwareisonething,butitalsoneedstobeproperlyvalidatedtobefullyreliable.Thisappliestoboththedeeplearningplatformitselfandthemodelsdevelopeduponit.Doyouhavethecapabilitiestoperformsuchvalidation?Doesyourplatformincluderobustvalidationworkflowsforthelearningmodelsthatwillbetraineduponit?Ifyoucannotconfidentlyansweryestothesetwoquestions,you’dbetterlookforaproventhird-partysolution.

Maintenance

Softwarecannotbelimitedtoitsinitialdevelopment;itmustbemaintainedtoensureseamlessoperationovertime.Thisworkinvolvesnotonlythesoftwareitselfbutalsoitsinterfaceswithothersystems,suchascloudcomputingplatformsorenterprisesoftware.Anyupdateontheirsidemustbeverifiedandvalidatedinanyproprietarysoftwaretoensurethesystemsstillcommunicateseamlesslywitheachother.

Support

Aswithmaintenance,usersupportisneededoverthewholelifetimeofthesoftware.Thisisessentialfortoolsthatareusedtoensurequalityonaproductionline,withahighcostforpoorquality.Fastresponsetime—ideally24/7support—isneededtosecurefasttroubleshooting.Themoreuserswhoimplementthesoftware,themoresupportcapabilitiesareneeded.Theretoo,ifyoudon’thavetheresourcestoprovidethatsupport,athird-partysoftwaresolutionmightbethebetteranswer.

KnowledgeTransfer

Tosecuremaintenanceandsupportovertime,oneofthemajorchallengesforcompaniesdevelopingtheirownsolutionsisknowledgetransfer.Mostofthetime,thedeveloperswhodesignasolutionmoveontootherrolesorleavethecompanyaftercompletionoftheproject.Whowilltakeovermaintenanceand

support?Arethesestaffproperlytrained?Iscomprehensivedocumentationavailablesothatfuturestaffcaneasilyjumpin?

Standardization

Standardizationofprocessesisanessentialfactorofefficiencyinamanufacturingorganization.Themorestandardizedtheworkflowsofadeeplearningplatform,themoreconsistent,controllable,andshareabletheoutcome.In-housedevelopmentstendtobelessstructuredthanstandardsolutions,whereasstandardsolutionsallowformoredeploymentsacrossmultiplelocationswithmorecomplexsupport.

AsolutionlikeLandingLensensuresmorestandardizedprocessesandshorterdevelopmenttimes.Additionally,the

softwareisaccessibletoawideraudienceofoperationalexperts,whocancontributetheirknowledgeoftheproductandmanufacturingprocesses.Theresultsshowthatthird-partysoftwareisamorepracticalandeffectivesolution.

Productivity

Yourcompanymightbeabletobuildadeeplearningplatformin-housethatallowsyourstafftotrainmodelsfortheirvisionapplications.Buthowfastwillusersbeabletobringtheirmodelsintoproduction?Third-partysoftwarebuildsonyearsofexperienceandongoingoptimizationandincludespowerfultoolstospeedupthedevelopmentprocessbyuptoafactorof10.

AccessibilitytoaLargerAudience

Onekeyreasonusersofthird-partysoftwaresolutionsreachtheirgoalsfasteristhathomegrowntoolsaretypicallynotoptimizedforeaseofuse.Notonlydoesthatslowdowntheprocessofdevelopingmodels,butitalsolimitsthegroupofpotentialuserstostaffwithadvancedAI/programmingskills.Withthird-party

deeplearningsoftwarespecificallydesignedforindustrialinspectionapplications,morepeoplecanbuildanddeployimpactfulsolutionsthroughouttheorganization,especiallythosewithlessprogrammingskillsbutadeeperoperationalknowledgeofmanufacturingprocesses,defects,andsoon.

Quiteoften,companiesthatdecidetogoforahomegrownsolutiondon’thavesolidanswerstothesequestions.Thiscanbeatickingtimebombwhentheplatformgoesintoproduction.

Buildingadeeplearninglearningplatformin-housemaylooklikeagoodideaatfirstglance,butinmostcases,itturnsouttobemorecomplex,time-consuming,andexpensivethanimplementingathird-partysoftwaresolution.Thisisbecausehomegrownsolutionstakealotoftimeandresourcestodevelop.OtherproblemsincludelessAIexpertiseonthepartofdevelopers,lessrobustvalidation,andpoormaintenanceandsupportcapabilitiesduepoordocumentationandknowledgetransfer.

AboutLandingLens

LandingLensisanindustry-firstdata-centricartificialintelligence(AI)visualinspectionplatform.Ithelpsimproveinspectionaccuracyandreducefalsepositives.Theend-to-endplatformstandardizesdeeplearningsolutionsthatreducedevelopmenttimeandscaleprojectseasilytomultiplefacilitiesacrosstheglobe.Ourfocusremainsonourcustomersandcontinualproductinnovationtosolvethereal-worldproblemsofthemanufacturingaudience.Tolearnmore,visit:

www.landing.ai

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