Top Edge Computing Companies to Watch in 2023

Ariel Efrati CEO

Innovationinherentlyinvolvesuncertaintyand

creativitywithacertainmindsetthatcreatesa differencenotonlyinmanagingthepreciseoperational processbutalsoensuresthatemployeesareworkingina goodworkenvironment.Staunchleaderswithamindsetto innovateadoptacontinuousreflection—thatis—these leadershipcharismashaveananswertotheirfirstquestion, athoughtoftheirfirstidea,andthedirectionwhichleadsto thesuccessfulexecutionoftheprojectpromptly.

Moreover,whenemployeesareactivelyinvolvedinthe projectwithanapproachofgivingtheirbestandnoticing newpiecesofinformationthatarepotentiallyimportantfor theproject,theprocessgoeslikearadar,endlesslyscanning theenvironment.Withtherapiddevelopmentsintheeverevolvingbusinessarena,digitizationisspreadingitswings inatransformationthatenablesaugmentationandagility. Comprehendingthisscenario,anaspectofaleaderisthat thepersonnevershiesawayfromexperimentingwith thingstofigureoutthebestpossiblepathtoachievingtheir goals.

Nowtheadventoftechnologyisprovidingeaseofaccessto diverseapplicationsleadingtopromptexecutionofthe projectinsteadoftakingaconventionalapproachto achievingtheirsharedgoals.Itisoneoftheessentialtraits ofleadersthatareconstantlyworkingunderpressure; however,itevolvestheprocessinvolvedintheproject execution.

Ontheotherhand,professionaldevelopmentandconstant growtharetheonlywaysfortechleaderstoensurethat thingswon’tgetleftbehindinthefast-pacedenvironment. Thesepeopleconstantlyexplorenewmethodstoenhance andexpandtheirbusinessskillsandtheirtechnological comprehensionofhowbettermentscanbeleveragedto scaleorganizationalprogresstonewheightsofsuccess.

InsightsSuccessembracesthejourneyoftheestablishments andthestarletsthataredrivingexponentialprogressand augmentingthemodernbusinessarenabyleveragingthe emergingtrendsoftechnologyinitslatestedition,“Top EdgeComputingCompaniestoWatchin2023.”Flip throughthepagesandindulgeintheodysseyofexcellence thatistransformingthemodernbusinessworld.

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June, 2023

Abhishek Joshi

Jenny Fernandes Anish Miller

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ArielEfrati CEO

EmilyHartstone CEO

JuhaHolkkola Co-founder&CEO

Brief CompanyName

TelcoSystems telco.com

GiftsFromtheHart giftsfromthehart.com

UndertheleadershipandexpertiseofArielEfrati,CEO,Telco Systemsfostersinnovationthatenablesafundamentalevolutionin organizationscomputationalandtechnologicalframeworks,allowing themtoeffectivelyleveragetheedge.

Emilyisanentrepreneur,motivationalspeaker,catalystofmeetings andevents,andstart-upsandbusinessconsultant.

UnderEmrah'sleadership,Choochprovidesrealtimeactionable, valuableinsightsforreal-worldapplications. chooch chooch.com

FusionLayer fusionlayer.com

WTW wtwco.com

Juhaisahighlyskilledprofessionalwhodeliversresultsthatexceed expectationseverytime.

Overfiveyears,Patriciahasbuiltahighlysuccessfulmarketing functionfromthegroundup,engagingremoteteamsinover20 countries-whilehardlysettingfootonaplane.

EmrahGültekin CEOandCo-founder

PatriciaAntunez Transformation Director

Telco Systems is a well-established company that's been around for over four decades, developing high-performance network communications software and hardware solutions.

Inthedigitalrealm,floodgatesofdatahavelongbeen

opened.Thedelugeispouringintothenetworksand threateningtochokethechannelsleadingtobandwidth limitationsandlatencyissues.

Asluggishnetworknotonlyinducesavividupsetbutalso affectsproductivityandmonetarylossesforbusinesses. Edgecomputingisatopologicalsolutionthatbrings processingcapabilitiesclosertotheenduser.Demandfor newapplicationsmeansthetimeisripeforanedge–consumerswantlowlatencyforreal-timeexperiencesand enterprisesrequirelocalprocessingforsecureandresilient operations.

UndertheleadershipandexpertiseofArielEfrati,CEO, TelcoSystemsfostersinnovationthatenablesa fundamentalevolutioninorganizationscomputationaland technologicalframeworks,allowingthemtoeffectively leveragetheedge.

TelcoSystemsisadvancingorganizations'-digital transformationwithEdgility–itssmartplatformforedge computingthatacceleratesservicedeployment.With Edgility,TelcoSystemsstandsattheforefrontofthe ongoingredefinitionoftheworld'sdigitalarchitectureby servingflexible,scalable,andfuture-proofedgecomputing andvirtualizationsolutions.

Insights Success interviews Ariel on how Telco Systems is providing high-performance systems to businesses leading to the futuristic digital embrace: Below are the excerpts from the interview:

WhatwastheinitialideabehindtheinceptionofTelco Systems?

TelcoSystemsisawell-establishedcompanythat'sbeen aroundforoverfourdecades,developinghigh-performance networkcommunicationssoftwareandhardwaresolutions. Ourpurposeistoprovidethehighestlevelofnetwork serviceinnovationtoCommunicationsServiceProviders, ManagedServicesProviders,SystemIntegratorsandLarge Enterprises.TelcoSystemsisoneofthefoundingmembers oftheMetroEthernetForum,provisioningfor standardizationoftransmissionandnetworkconnectivity betweenServiceProviders,andassuchhaslong-standing recognitionandpowerfulrelationshipsthroughoutthe Telecomnetworkingindustry.

We'vebeenprovidingstate-of-the-artsolutionsforlayer-2 networkconnectivitysinceourinception.Fromthat,we

gainedexpertiseinthenewtrendsandthenetworking needsoftheTelcomindustryandtheITandnetworking aroundit.WestartedwiththeevolutionofSD-WANand therequirementsforsecurityarounditandforcloud computingandedgecomputing.

Ourdeepinsightsandconnectionswiththetelecom networkingindustryhavelaidthefoundationfor understandingtheupcomingbusinessneedsdeveloping aroundedgecomputing.

Whataretheprimaryobjectivesandphilosophyof TelcoSystems?

TraditionallytheTelecommunicationsindustrywas centeredaroundhardwarefunctions,anddevicesthatcan efficientlyandwithlowlatencyresolvecomplex networkingchallenges.However,modernizationandthe extremedigitaltransformationthatisunderwayledtothe conclusionthatsoftwareistheprecursorofinnovation, whichhasenabledcloudcomputing,smartphones,and more.Theneedtotakelegacyhardware-basedsolutions andvirtualizethemhasbecomeanessentialrequirementfor anyorganizationindigitaltransformation,andTelco

Telco Systems’ Edgility is a platform for edge computing that simplifies the deployment, operations, and lifecycle management of complex business apps, network functions and compute devices, on the edge, at scale.

Systemsisattheforefrontofthistransformation–anticipatingandservicingitscustomer'sneedsasthey undergotheirjourney.Networksmustbesoftware-defined, oriented,andoperated.TelcoSystemswentthrougha similartransformation–wewere(andstillare)providing complexsolutionsinthehardwaredomainandrecognized thattherewasarealneedfordeepsoftwarefunctionalityon topofthehardware.

Ourgoalwastoprovidevalue-addedfunctionalityontopof anyvirtualizedhardwaretoallowourcustomersthe freedomofchoice.Thenextstepinourjourneywas technicallycomplexbutconceptuallysimple-totakeall therichnessandavailabilityofthosecomplexnetworking mechanisms,completelyabstractthemfromthehardware, andbringallthefunctionalityintothesoftware.We'revery proudthatourOperatingSystemandManagement& Orchestrationsolutionsenableverycomplexnetworking functionalitiesandnetworkfunctionchaining,basedonly onsoftware,completelyabstractedfromanyhardwarethat ourcustomerschoose.Thismeansthatourcustomerscan utilizeanygenericoff-the-shelfcomputepowerandstillget verypowerfulcomputeandnetworkingmechanismsontop ofit.

Whatareyourtop-notchofferingsthathaveastrong footholdintheindustry?

Digitaltransformationhascreatedanewtypeofperimeter fortheITindustry,businessresourcesandservices virtualizedandcloudified.Asthedigitalworkspace continuestoevolve,morebusinessresourcesarepushedto thenetwork'sedge,andITservicesinfrastructurescontinue togrow Thecomplexityandcostofmanagingtens,or hundredsofthousandsofedgedevices,runningmultiple applicationsacrosswidelydistributedsiteshasincreased exponentially.

Toaddressandsimplifythesecomplexitiesandtoenablean agile,costeffective,andmanageableinfrastructureofIT servicesatscale,TelcoSystemsdevelopedEdgility–an open,hybridplatformforedgecomputing,thatbrings cloud-nativeenvironmentstothenetworkedgewhile reducingcomplexityandimprovingoperationalefficiency Edgilityenablesfullautomationforthedeployment, operation,andlifecyclemanagementofthousandsofedge devicesandITservicesacrosswidespreaddistributedsites, connectedthroughmultiplenetworkproviders.Edgility providessimpleandintuitiveoperationandmanagementof edgedevicesandservicesatscale.

Itsimplifiesthedeploymentofanyservicebycreatinga securecontrollayerfortheoperation,management,and administrationofedgedevicesandtheapplicationstheyare running.Edgilityenablesourcustomerstoselectthe hardwareandsoftwarecomponentsthatbestfittheirneeds andbudget.Edgility'szero-touchprovisioningexpedites deployingnewserviceswithouttheneedforon-site technicalpersonnel.Atthesametime,itsvendor-neutral openarchitectureenablesourcustomerstheflexibilityto deploysoftwaresolutionsandutilizedevicesfromany vendor.Edgility'ssmallfootprintoperatingsystemcan efficientlyrunmultiplevirtualservicesonourcustomers' choiceofedgedevices,includingextremelylowpower devices,deliveringupto60%reductioninTotalCostof Ownership,aswellasatleast45%reductionincarbon emissions.Obviously,bothTCOandcarbonemissionsare criticalfocuspointstodayfororganizationsseekingto improvetheirserviceprofitabilityaswellasdecreasetheir environmentalimpact.

Edgilityiscomposedoftwoelements:EdgilityOSisa high-performance,small-footprintoperatingsystemthat turnsanyboxintoafullyoperationaledgedevice. Optimizedformaximumresourceutilization,EdgilityOS delivershighthroughputevenonlow-resourceedge computingdevices.EdgilityOSsupportshybridvirtualized andcontainerizedfunctions/applicationsfromanyvendor, allowingourcustomerstodeployandrunmulti-service workloads.EdgilityCentralisapowerful,Managementand Orchestrationplatformthatenablesourcustomersto managemultipleedgedevices,applications,network functions,andservicepoliciesacrossmultiplesitesviaa simpleandhighlyautomatedUX.

WhataretheroadblocksthatTelcoSystemsfacesinthe ever-changinglandscapeofthebusinessworld?

Thistypeofmovementfordigitaltransformationisalways acomplexmovement.Yourorganizationalreadyhasa setup.It'salreadyworkingwithsomemethodology.The meremigrationfromoneprocesstothenextiscomplexfor anyorganization,butinmanycases,thereisacrisispoint oramomentofurgency.E.g.,thesupplychainhasbeen disturbed-weknowthatpost-COVID,themicroprocessor industry'ssupplychainhasbecomechallenging,andthisis therightmomenttochangesomethingandtransform.

TelcoSystemsenablesourcustomerstocontinuetodothe sameprocessesthey'reusedtobutongenerichardware. Thisisthefirstandimmediatestepforthem.Theyhave justificationandcanimmediatelyseethebenefitsofmoving

toasystemthatmanagesalltheirgenerichardwaredevices universally.Byswitchingouttheirhardware,theyalready starttoreapthebenefitsofthisdifferentwayofthinking. Allourcustomersgothroughsimilarstages,wheretheyare openingupnewsitesandfacingtimelinesofmanymonths justtoconnectthenewsites.

WithEdgility,theycandeploygenericdevices,connect themtothenetworkandcontinuetousethesame mechanismsthatthey'reusedto,withEdgilitymanaging andorchestratingtheentiresetup.Thisisthetriggerthat enablesthemtomovefromtheircurrentmodeofoperation tothefuture.Thetypicalorganizationhasbeenundergoing avasttransformationfromhardwaretosoftwareandtoa cloud-basedarchitecture.Withsoftware,itdoesn'tmatter wheretheapplicationisdeployed,aslongasit'sconnected andyoucanaccessit,That'sjustthefirstdrivetowards innovation.

Theseconddriveisaroundapplicationsthatmustbe deployedon-siteorascloseaspossibletowherethedatais created.We'retalkingaboutapplicationsforanalyticsand monitoring,forinstance-integratedfunctionswherethe networkingisessential.inallthesecases,we'retaking applicationsthatweremovedtothecloudatsomepoint, andwe'rebringingthembacktothesourceofthedata. That'swhatempowerstheemergenceofedgecomputing;

Telco Systems enables its customers to continue to do the same processes they're used to but on generic hardware.

whetherit'senterpriseedgeortelcoedge,theanalyticsand thevariousoperationsthatareperformedonthedatawill needtobekeptveryclosetothesourceofthedata.In addition,therearesecurityissues,GDPR,andallthe networkapplicationsthatneedtobekeptasclosetothe networkingenvironmentaspossible.Ourcustomersdecide wheretheircomputeenvironment

willbeandhowtointegratewithapplicationsonthecloud, soweessentiallycreateservicechainsorworkloadchains wherepartoftheworkloadislocal,andpartisonthecloud. Thisrequirestightintegrationbetweendifferentmodesof operationsandbetweenthenetworkandtheapplicationsto ensuretheflowofdatawillruncorrectlyandefficiently Andthat'sliterallywhereTelcoSystemsoperates–atthe intersectionofcloudcomputing,telcoedge,mobileedge computeandenterpriseedgecomputingenvironments.

Howisyourcompanyadaptingtomarketorientation?

Justadecadeago,atypicalorganizationhaditscomputers foremployees,adedicated,expensivenetworklinebetween sites,aswellasaninternaldatacenterorserverwherethey couldstoredataandtheapplicationstheywereusing. Withinadecade,wemovedfromacompletelylocalized hardware-orientedenvironmentintoanutterlyabstracted softwareenvironmentinwhich,ratherthanusing networkinglines,wecanfinallymakeuseoftheinternet andcontrolit-forexample,throughSD-WAN.

Wemovedfrominternalserversanddatacenterstocloudbasedsolutions.Cloud-baseddoesn'tmeanthatyoudon't useanyhardware,butasanenterprise,itmeansyoudon't havetodealwiththehardwareanymore,justwiththe softwareontopofit.Itmeansthatyoucanminimizecosts, reduceexpertiseneeds,andincreaseyouragilityandyour paceofinnovation.Itmeansyoucanoffloadtheunderlying infrastructureproblemstosomeoneelse.Andthisevolution hasactuallyempoweredatremendousboominbusiness innovation.Forinstance,applicationsthatcanbedeployed attheclickofabuttonanddon'trequirecomplex installationandcomplexintegration.Everythingcanbe doneremotelyonthecloudorinanabstractedsoftware environment.Andweachievedallthatinlessthana decade.Asanindustry,weshouldbeveryproudofthis achievement.

However,it'simportanttounderstandthatCloud ComputingandEdgeComputingarenotthesame.Inmany cases,edgecomputingiserroneouslyreferredtoasan extensionofcloudcomputingorassimplytakingcloud

computingandplacingitattheedge.Thekeydifference howeverbetweentheedgeandthecloudisscale.While cloudcomputinginfrastructureisbuiltoutofseveraldata centersites,theedgecanspanacross10Ksand100Ksof sitesandphysicaldeviceseachrunningmultiple applications.Whilemanagementsystemsdevelopedfor cloudcomputecanmanage100Kapplications,theyarenot designedtomanage100Kphysicaldevicesatdistributed sites.Withedgecomputing,ahighlevelofautomationis essential,andsecureremotemanagementandorchestration toolsprovidesupportandfulllifecyclemanagementfroma centrallocation,reducingcustomer'srelianceonDevOps teams.

Edgilityisatthecoreofallthis.Inthepast,wehad networkingdevicesandsmallcomputingdevices,andwe neededtomanageeachandeveryoneofthemseparately, andeverychangeentailedacomplexprocessthatcould takemonthsormore.Todayweneedtoinstantiatenetwork functionsorcomputeapplicationsindifferentlocations,in externalorinternalclouds,inlocalorremoteordistributed devices.Wewanttobeabletodoallthiswithasingle click,automatically Wewanttoaddresseverydeviceor siteremotely Wewanttobeabletodoeverythingfroma softwareandautomationperspectiveratherthanfroma hardwareandmanualperspective.Edgilityensuresthat eachandeverydeviceonyournetwork,inyourenterprise, canbeunifiedandconnected,anduniversallyapproachable. OrganizationsthatarejustbeginningtothinkaboutDigital Transformation,orareintheearlystagesoftheirown transformation,findtheconceptsofabstractionand opennesstoocomplex.Thesecompanieshaveingrained processesthatthey'vedevelopedoverdecadestodealwith internalchallengesandaregenerallyataslowerpaceof innovation.Theyhaveyettoacceptthatstrategicallythey mustundergothesamedigitaltransformationthattheir customersarealreadyundergoing.Theyhavealong learningcurveaheadofthemandwecanaccompanythem andguidethemthroughoutthisprocessofimplementing edgecompute.

Ontheotherhand,youhaveorganizationsthathavealready strategicallyembracedthenecessitytotransformtheir

businessintoadigital-firstbusiness.Inthatenvironment, theyintuitivelyunderstandthattheyneedtobeableto automatetheprocessesthatthey'rerunningacrosstheir thousandsofsites.Simplyupdatingorchanging applications,servicechaining,integratingnetworking, monitoringthenetwork–allofthesetopicsareextremely complexandrequireveryspecificexpertiseanddedicated teams.Theseorganizationsinherentlyknowthattheymust abstractallofthis.Theyknowthattheywanttobeableto replacehardwareeasilyifitdoesn'tfittheirneed.They knowthattheywanttobeabletoupdateapplicationswith oneclickandincreaseorreducethecomputenecessitiesfor theseapplicationsonthego.It'salreadybecomeamindset forthem.WhentheyseeEdgility,theyimmediatelysay–"That'sexactlywhatweneed–Iknewtherehadtobe somethinglikethisinthemarket!”

Whatisyourstanceonimplementinginnovative technologies?

Apowerfulwaveofinnovationisgoingontoday,with5G asthecatalystformuchofit.WeseeitinArtificial Intelligence,weseeitinvideowhichhaslowlatency requirements,inAnalyticsandGaming,andmore.These aresectorsthatarebeginningtounderstandhowtoutilize thesetechnologiesandwillleveragethemverysoon.The enterprisedomainiscreatingimmenseamountsofdataand acceleratingtheamountofdatacreatedeveryday This forcesustofindnewwaystoanalyzethisdataandactonit, andthatmeansthatweneedtodevelopnewunderlying mechanismstotreatthedataandmakeuseofit.We're goingtoseeArtificialIntelligenceandAnalyticsextracting evenmoreactionableinformationfromdata,whichmeans wewillseemoreandmoreoftheunderlyinginfrastructure adaptingitselftoenablethat,andTelcoSystemswith Edgilityisliterallyatthecenterofallthat.Justtenyears ago,nobodythoughtofmovingtothecloud.Today,we–TelcoSystems,withEdgility,aretheinnovatorinan industrythat'salreadyattheforefrontofinnovation.

WhatisthenextchapterforTelcoSystems?

Innovationsparksfromtheabilitytointegratecomplex appsthatrunacrossmultipleenvironments–forexample, anIoTsmallformfactordeviceoranedgedevicewith somecomputepower,orthecloudwithextremelylarge computepower Theabilitytomigrateapplicationsinand outofanyenvironmentandconnectthemwillbethe solutionofchoiceforenterprisesmovingforward.Telco SystemswithEdgilityisatthecenterofthistransformation withasolutionthatmanagesalloftheseenvironments underaunifiedanduniversalplatform.

Theindustryisstillextremelynascent-wearestillvery muchatthebeginningofthedigitaltransformationwave. Butthemarketisgoingthere.Everyoperatorisbeginning tobuildatelcoedgecompute,oramobileedgecompute environment–it'snotyetleveraged.Still,they'restartingto seeandimplementthetechnologiestheyknowaregoingto beusedintheapplicationsofthefuture.Andweareatthe forefrontoftheinnovationaroundthesetechnologiesand solutions.We'reseeingaconsiderabletrendveeringinto actionableIoT–whereourdeviceswillnotjustprovideus withdatabutactuallydeliverandactuponactionable informationfromthisdata.

Onceourdevicesareabletobecomeactionable,therewill beasizeablechunkoftheoverallindustrymovinginto typicalIoTscenarios.We'realreadystartingtoseethisin thetransportationindustryandinagriculture,wheresupply chainsarebeingdisrupted,andwe'restartingtoseesome veryinterestingsolutions.This,however,isstillquitea closedgardenthatrequirestremendousintegration.But verysoon,we'llseethedemocratizationoftheseprocesses, whereeveryorganizationwillwanttoinstalltheirownIoT mechanismwithsensorsthatcananalyzeclose-rangedata. So,thecycleofcreatinglargeamountsofdata,analyzingit onsite,andactingonit,continues.We'reatthebeginning ofthismovement.Assoonasdevicescanacton information,we'llseeanexplosionoftechnologiesand solutionsaroundit.Edgilitywillbethebasisforefficiently andtransparentlymanagingallofthis.

ToknowmoreaboutTelcoSystems;pleasevisit: www.edgilityos.com/

https://www.linkedin.com/company/telco-systems-edgility/

Our deep insights and connections with the telecom networking industry have laid the foundation for understanding the upcoming business needs developing around edge computing.

Edge ComputingforEdge AI

Inrecentyears,theadvancementofartificial

intelligence(AI)hasrevolutionizedvariousindustries, makingitessentialtoprocessdatafasterandmore efficiently.Edgecomputing,adecentralizedcomputing model,hasemergedasapowerfulsolutiontoaddressthe challengesoflatency,bandwidthconstraints,andprivacy concernsassociatedwithtraditionalcloud-basedAI systems.Inthisarticle,wewilldelveintotheconceptof edgecomputingforedgeAIandexploreitsrolein empoweringsmartdevicesattheedgeofthenetwork.

UnderstandingEdgeComputingandEdgeAI

Edgecomputingisadistributedcomputingparadigmthat enablesdataprocessingclosertothesourceofdata generation,i.e.,attheedgeofthenetwork,ratherthan relyingoncentralizedcloudservers.Theprimarygoalof edgecomputingistoreducelatency,minimizedata transmissiontothecloud,andimproveoverallsystem performance.EdgeAI,ontheotherhand,referstothe integrationofartificialintelligencealgorithmsandinference modelsdirectlyintoedgedevices.

Edgedevices,suchassmartphones,IoT(InternetofThings) devices,drones,andsmartcameras,collectvastamountsof data.Thedatageneratedattheedgeoftenneedsimmediate processingandactionableinsights,makingedgeAIa criticalcomponentforreal-timedecision-making.

UseCasesforEdgeAIattheEdgeDevices

SmartSurveillance:EdgeAIallowssmartcamerasto analyzevideofeedslocally,detectingobjects,recognizing faces,andsendingalertsinreal-timewithoutrelyingon constantcloudconnectivity

AutonomousVehicles:EdgeAIempowersself-drivingcars tomakecriticaldecisionsinstantly,enhancingsafetyand responsivenessontheroads.

Healthcare:EdgeAI-enabledmedicaldevicescananalyze patientdataatthepointofcare,enablingfasterdiagnostics andpersonalizedtreatments.

IndustrialIoT:EdgeAIinindustrialsettingsenhances predictivemaintenance,optimizesmanufacturingprocesses, andminimizesdowntime.

EdgecomputingforedgeAIrepresentsagroundbreaking technologythattransformshowsmartdevicesprocessdata anddeliverreal-timeinsights.BybringingAIcapabilitiesto theedgeofthenetwork,edgecomputingempowersdevices tooperatemoreefficiently,securely,andautonomously.As theworldbecomesincreasinglyreliantonAI-driven applications,edgecomputingwillundoubtedlyplayavital roleinshapingthefutureoftechnology.

TechnicalAspectsofEdgeComputingforEdgeAI:

EdgeAIInference:Edgedevicestypicallyhavelimited computationalresourcesandpowerconstraints.Therefore, edgeAImodelsmustbeoptimizedforefficientinference, makinguseoflightweightarchitectureslikeMobileNetor TinyML.Thesemodelsshouldstrikeabalancebetween accuracyandresourceutilizationtodeliverreal-time results.

ModelDeploymentandManagement:Edgedevicesmay havevaryinghardwarecapabilitiesandsoftware configurations.DeployingandmanagingAImodelson diversedevicesrequirescarefulconsiderationof compatibilityandversioncontrol.Containerizationand frameworkslikeTensorFlowLiteandONNXRuntime simplifymodeldeploymentacrossdifferentedgedevices.

FederatedLearning:Edgecomputingenablesaprivacypreservingapproachcalledfederatedlearning.Insteadof sendingrawdatatothecloudformodeltraining,edge devicescantrainmodelslocallyandonlytransmitmodel updatestoacentralserver Thispreservesdataprivacy whileaggregatingknowledgefrommultipledevices.

Edge-to-CloudSynchronization:Insomescenarios,edge devicesmayneedtocollaboratewithcloud-basedAI systemstoleveragethemassivecomputationalpowerof datacenters.Ensuringseamlesssynchronizationbetween edgeandcloudsystemsisessentialforoptimal performance.

ImpactontheModernBusinessArena

Retail and Customer Experience:

Intheretailsector,edgeAI-poweredsmartcamerasand sensorsaredeployedtoanalyzecustomerbehavior,foot traffic,andproductinteractionswithinstores.Thisdata enablesretailerstooptimizestorelayouts,product placements,andmarketingstrategies.Additionally,edgeAI canprovidepersonalizedshoppingrecommendationsto customersinreal-time,enhancingtheoverallshopping experience.

Agriculture:

EdgeAIisrevolutionizingagriculturebyenablingprecision farmingtechniques.DronesequippedwithedgeAI capabilitiescanmonitorcrophealth,detectdiseases,and assesssoilconditions.Thisinformationhelpsfarmersmake

data-drivendecisionsaboutirrigation,fertilization,andpest control,leadingtoincreasedcropyieldsandreduced resourcewastage.

Healthcare:

Inremoteorresource-constrainedareas,edgeAI-enabled medicaldevicesplayacrucialrole.Portablediagnostic toolsequippedwithAIalgorithmscanrapidlyanalyze medicalimagesanddetectdiseasesliketuberculosis, diabeticretinopathy,andskinconditions.Thishelps healthcareprofessionalsprovidetimelyandaccurate diagnoses,eveninareaswithlimitedaccesstospecialized medicalfacilities.

Manufacturing and Industry 4.0:

EdgecomputingcombinedwithAIistransformingthe manufacturingsectorthroughtheconceptofIndustry4.0. Smartfactoriesemployedgedevicesandsensorstomonitor equipmenthealth,predictmaintenanceneeds,andoptimize productionprocesses.Real-timedataanalysishelps minimizedowntime,reduceoperationalcosts,andimprove overallmanufacturingefficiency.

Autonomous Vehicles:

EdgeAIisafundamentalcomponentofself-drivingcars andautonomousvehicles.Thesevehiclesrelyononboard AIsystemstoprocesssensordata,makesplit-second decisions,andnavigatethroughcomplexenvironments. EdgeAIensuresthatthevehiclescanreactinstantlyto changingroadconditions,enhancingsafetyandreliability.

Energy Management:

EdgeAIisincreasinglyusedinenergymanagement systemstooptimizeenergyconsumptionandreduce wastage.SmartgridsequippedwithedgeAIanalyzedata fromvariousenergysourcesandconsumptionpatternsto balancetheenergysupplyanddemand,leadingtomore efficientandsustainableenergydistribution.

Computervisionplatformsarebecomingincreasingly

popular in various industries, with the potential to revolutionize how organizations operate. These platforms employ computer vision and AI algorithms to detectandanalyzevisualobjects,images,oractionsinvideo images.

Chooch is a leading AI Vision solution that addresses business challenges using a diverse range ofAI algorithms, including CNNs, DNNs, Large Language Models (LLMs), and more. Chooch’s AI Vision solutions leverage diverse algorithmic capabilities which excel at detecting visuals, objects,andactionsinvideoimages.

Chooch has a deep understanding of the complexities involved in the production and deployment of computer

vision AI. Its AI Vision platform tackles data management, model development, infrastructure considerations, and ongoing model training. As a result, Chooch provides realtimeactionable,valuableinsightsforreal-worldapplications.

We at Insights Success interviewed Emrah Gültekin, the CEO and Co-founder of Chooch, to understand their approachtooperatingtheAIvisionplatform.

Let’sdelveintotheinterceptsoftheinterview!

WhatinspiredthefoundingofChooch?

The founding of Chooch emerged at the convergence ofAI advancements and a rapidly evolving society As an entrepreneurwithasocialsciencesbackground,Irecognized theneedtocontributetothenextwavesofinnovationamidsta worldlackingefficiency,foresight,andtransparency.

Our journey into visual perception systems began years earlierwhentheideabegantotakeshape.Mybrother,Hakan, wasdeeplyinvolvedincomputerprogrammingfromanearly age and delved into visual perception andAI-based imaging systems around 2012; pioneering the use of deep learning frameworksonmobiledevices.

Intrigued by that research, we soon realized that each AI segment, language, audio, and images, required distinct approaches in data collection, annotation, training, and deployment.Tonavigatetheincreasingcomplexity,wechose tospecializeexclusivelyincomputervisionAI.Vision,being themostvitalyetintricatehumanfaculty,guidedourdecision aswelearnedfromnature'scues.

Choochspecificallyutilizes NVIDIA'sJetsonlineof productsforedgedeployment, enablingefficientandpowerful computervisionAIoperations attheedge.

UnleashingthePowerofAIVision

Our mission to replicate human visual comprehension and cognitioninmachines,andenablingthemtosee,understand, and learn like humans became an obsessive goal for us, drivingourworkatChooch.

Whatspecificproblemorchallengedidyouidentifyinthe field of computer vision that motivated you to create Chooch?

Over the years, Chooch has encountered numerous challengesinthecomputervisionAIspace.Thesechallenges have encompassed various aspects, including dataset collection, annotation, model training and testing, finetuning, deployment of inference engines, video streaming, visualizations, model orchestrations, scaling, stream orchestrations,deviceorchestrations,andthecreationofnocodeenvironmentsforusers.

However, these challenges were integral parts of two major computer vision AI problems that Chooch has successfully addressed.

The first problem centered around ensuring the reliable operation of the inference engine in client self-hosted environments,whichofteninvolveddisconnectedsetupsand edge deployments. Overcoming the orchestration and scalability hurdles was our initial challenge, driven by the demands of our government customers. This investment turnedouttobehighlybeneficialforthecommercialsectoras well.

The second major problem in computer visionAI lies in the accuracy of the vision models themselves. Computer vision AIisacomplexfieldthatrequirestheutilizationofensemble modelstosolvebusinessproblems.Syntheticdata,annotation tooling,andthecreationofensemblemodelsthatcollaborate with each other contribute to enhancing the robustness and accuracyofthesemodels.However,deployingthesemodels into production requires significant human and resource investments, as multiple training cycles are often required. Moreover, if variables such as the field of view or lighting conditions change, data must be collected again, and the modelmustberetrainedtopreventmodeldrift.Thispresents aclearrepeatabilitychallenge.

Emrah Gültekin CEO and Co-founder Chooch

Fromtheearlystages,werecognizedthatvisionandlanguage would eventually need to be combined to address issues of accuracy, model drift, and general repeatability. We conducted extensive experimentation, blending Language Models(LLMs)withComputerVisionforoverayearanda half.

Finally,wewereabletointroduceImageChat tothemarket, which now tackles the challenge of custom model development.WithImageChat,userscancreatemodelsusing text prompts that can simultaneously query millions of streamsofvisualinput.

How does Chooch leverage edge computing in its AI VisionPlatform?Canyouexplainthesignificanceofedge computinginthecontextofcomputervision?

EdgecomputingplaysavitalroleincomputervisionAIdueto threeprimaryreasons.

Top Edge Compung Companies to Watch in 2023

Ÿ Cost Optimization: Vision sensors generate large files, Ÿ Enhances economic viability by minimizing data transfercostsassociatedwithlargevisionsensorfilesizes. Performinginferencingtasksontheedgeoptimizescosts, makingtheprocessmoreeconomicallyfeasible.

Ÿ Addresses privacy and cybersecurity concerns by processingdatalocallyoronedgedevices.Thisapproach reduces the need for transferring sensitive video data acrossplatforms,mitigatingpotentialrisks,andensuring datasecurity.

Ÿ Enables real-time responsiveness with the stable connections which are crucial for applications requiring low latency and reliable connectivity By deploying AI algorithms closer to the data source, edge deployment ensuresminimaldelayanduninterruptedperformance.

Ÿ Edge sensors can collect additional data beyond visual information, which can be integrated into Chooch's vector databases This comprehensive data enables advanced analysis and decision-making processes, enhancing the capabilities of Chooch on the Edge.

Can you elaborate on Chooch’s pre-trained computer vision models that can be instantly deployed? How are theytailoredtospecificusecasesorindustries?

TM Chooch has developed a library of ReadyNow models to cater to users' specific business needs without extensive customization These models cover a diverse range of applications, including demographics analysis, PPE detection, fall detection, object detection, fire and smoke detection, and weapons detection, among others. These models are designed and trained to deliver accurate results, allowing businesses to leverage computer visionAI quickly andeffectively

Chooch deploys relevant ReadyNow models that align with clients' immediate requirements, enabling businesses to deploy computer vision solutions without extensive developmentefforts.Ourteamdevelopsmodelsthataddress clients' specific challenges and use cases, ensuring that Chooch’s computer vision models meet the unique requirementsofdifferentindustriesandusecases.

By providing pre-trained models for common use cases, we help businesses to accelerate their adoption of AI

technologies,deriveimmediatevaluefromtheplatform,and remainflexibletoaddressfuturedemandsandchallenges.

WhatsetsChoochapartfromotherAIVisionplatformsin the market? What unique features or capabilities does Choochoffer?

Chooch differentiates itself from other AI vision platforms with its comprehensive and unique features. It offers a full lifecycle computer vision platform encompassing data ingestion, inferencing, and detection. One standout feature thatsetsusapartisChooch'sgenerativeAIcapabilities.

As one of the few companies globally providing and implementing generative AI for inferencing and detection, Chooch's platform surpasses traditional computer vision algorithms in accuracy By incorporating advanced generative AI models, Chooch’s technology can synthesize new data and generate responses based on real-world visual inputs.ThisenablesChoochtodeliverdynamicandcontextawareresponses,enhancingtheaccuracyandintelligence of its AI Vision platform and distinguishing itself in the market.

In addition to its generativeAI capabilities, Chooch offers a rangeofotheruniquefeaturesandcapabilities.Theseinclude:

Ÿ Customizability: It offers the flexibility to develop tailored models and solutions, addressing specific industryorusecaserequirements.

Ÿ ReadyNow Models: It provides a library of preprogrammed ReadyNow models, delivering instant solutions for common visual tasks without the need for extensivecustomization.

Ÿ EdgeComputing:ItleveragesedgedeviceslikeNvidia's Jetsonline,enablingreal-timeinferencingandanalysisat the edge, ideal for low-latency applications with stable connectionsandlargevideofiles.

Ÿ ScalabilityandEfficiency:Itscalesefficiently,handling largevolumesofvisualdataandcomplexanalysistasksto meet enterprise-level demands and support AI initiative growth.

Ÿ Full Lifecycle Support: It offers end-to-end support throughouttheentirecomputervisionAIprojectlifecycle, encompassing data preparation, model development, deployment,monitoring,andmaintenance.

By combining generative AI capabilities, customizability, ReadyNowmodels,edgecomputingsupport,scalability,and fullAIlifecyclesupport,Choochestablishesitsuniquenessin the market These features and capabilities empower businesses to leverage advanced AI Vision technology and deriveactionableinsightsfromvisualdatainahighlyefficient andintelligentmanner.

How has Chooch evolved since its inception? Are there any significant milestones or advancements that you wouldliketohighlight?

Chooch has made remarkable progress in the field, attaining noteworthy milestones and advancements. Our notable accomplishments include the creation of an optimized inference engine that ensures efficient and accurate processingofvisualdata.

Additionally, Chooch has achieved a breakthrough by successfully integrating LLMs with computer vision. It is exemplified by the rapid progression from ImageChat-1 to ImageChat-2andongoingworkonImageChat-3.Thisfusion ofcomputervisionandlanguageinAIrepresentsasignificant leap forward, enabling Chooch to tackle a wider range of businesschallenges.

The continuous evolution and dedication to developing cutting-edge models, like ImageChat, demonstrates our commitment to advancing AI Vision technology. By leveraging LLMs and merging them with computer vision algorithms, Chooch pioneers comprehensive solutions that effectivelyaddressamultitudeofreal-worldproblems.Each milestoneachievedbythecompanycontributestoinnovation andshapesthefuturelandscapeofcomputervisionAI.

What is Chooch's vision for the future of AI Vision technologyanditspotentialimpactonvariousindustries?

Chooch envisions a future where AI Vision technology becomes the dominant force across industries, surpassing previous technological advancements. Chooch believes that economic and technical barriers to widespread adoption are diminishing. The transformative impact of AI Vision will revolutionize sectors such as healthcare, manufacturing, retail,transportation,security,andentertainment.

Qualities Every Leader Should Have

Written by Emily Hartstone of From The Hart Management, LLC

Moderntimeslooksignificantlydifferentthanthey

didjustfiveyearsago;COVID-19andan uncertaineconomyhaveforcedcompaniesto stayontheirtoesandlearntoreactinreal-time,whilea moreconnectedworldhasdramaticallychangedboth employeeandcustomerexpectations.

Asthesechangeshaveshakenbusinessestotheir foundations,themostsuccessfulleadershavelearnednew skillsetstobecomebetterequippedtohandlethesetypesof challenges.Inparticular,accountability,empathy, confidence,andtheabilitytoempoweryourpeople constitutesomeofthemostimportantqualitieseveryleader shouldhave.

Oneofthehighestonthelistisaccountability Thismeans accountabilityofyourself,youremotions,words, intentions,mistakes,decisions,andactions-ownitall.If someoneonyourteammakesamistake,it’syourfaultfor notprovidingthemwiththeguidanceandtoolstheyneeded todoitright.Ifaclientisnothappywithyourwork,it’s yourfaultfornotclarifyingexpectationsupfrontor deliveringonyourpromise,etc.Whenwetakeownership, wecaninspireandelevatetheperformanceofeveryone aroundus,andthisiswhatrealleadershipisactuallyall about.

Empoweryourpeople.Notjustbydelegatingtasksor handingoverresponsibilitiesbuthavethecouragetoask themwhattheythink,andthenempowerthemwiththe autonomytoseetheirvisionthrough.Therearesomany opportunitiesinmodernbusinesstobeamentortothenext generationoftalentandifyou’reinapositiontohelp someonegrow,there’snothingmoreimpactfulthanthat.

Themostsuccessfulleadershaveempathy.Iveryclearly remembersittingonanairplaneyearsagowhileIwasstill workingforcorporateAmerica,readingaForbesarticlethat saidnineoutoftenemployeesseealinkbetweenjob satisfactionandempatheticleadership.AtthetimeIwas workingforacompanywhereIfeltIhadtowalkon

eggshellsatalltimes,whichiswhyIstillrememberitto thisday.Empathyiscriticaltogoodleadershipbecauseit createsanopenpsychologicallysafeenvironmentthatlets eachteammemberexpresstheirauthenticself,freefrom judgement.Tyingthisbacktothepreviousqualityof empowerment,whenanemployeefeelsafraidtospeakup, anempatheticleadercansensethatandworktocreatea moreempoweringenvironmentforthemtospeaktheir minds.

Thenextimportantqualityistobealeader,nota“boss.” Bossesbosspeoplearoundanddemand;leadersleadby exampleandshow.SimilartowhatI’vementionedin anotherquestion,somethingI’velearnedinmycareeris thatifyouweretolookatanycompanywith underperformingemployees,handsdown,it’sbecauseof leadershipissues.

Allleadersmusthaveconfidence.Leadershavetomakebig decisions,andtheseoftentimescomewithlargerisks.This isalsothenot-so-funpartofbeingaleaderbecausewhen you’retheonetakingtherisk,you’llalsoprobablytakethe blameifthingsgowrong–butthat’sjustpartofthegig! Youmustalsohavetheconfidencetoactdecisivelyinhighstakessituations.Ratherthanshowinganxietyinyour behavior,youmustremaincalm,collected,andresolute. Therearealwaysgoingtobepeoplewhodisagreewiththe leader’sdecisions.Whileitisveryimportanttolistento otherviewpoints,aleadercan’tbackdowninthefaceof criticismorconflict.Theyneedtohavetheself-confidence tobrushoffthatdoubtandalwaystrusttheirintuitionwhen theyknowtheyaremakingtherightdecision.

Finally,butcertainlynotleast,positivity.Youdonothave toberainbowsandsunshineallofthetime,butyou certainlyhavetopassasenseofoptimismtoyourteam. Employeeslikeworkingforpositive,inspiringpeople.They don’tjustwanttoshowuptowork,workthroughtasksand gohome.Theywanttofeelliketheyareavaluedpartof somethingbigger,alargermissiontheycanbelievein.

Enhancing Safety and Efficiency

Edgecomputinghasemergedasatransformativetechnologyforvariousindustries,andoneofthesectorsthat

significantlybenefitfromitsimplementationisautonomousvehicles.Autonomousvehicles,alsoknownasselfdrivingcars,relyoncomplexalgorithmsandreal-timedataprocessingtonavigate,perceivetheirsurroundings,and makecrucialdecisions.Edgecomputingplaysacriticalroleinenhancingtheperformanceandsafetyofautonomousvehicles byreducinglatency,improvingdataprocessing,andensuringaseamlessdrivingexperience.Thisarticledelvesintothe conceptofedgecomputinginautonomousvehicles,itsadvantages,challenges,andthepotentialitholdsforthefuture.

UnderstandingEdgeComputinginAutonomousVehicles

Edgecomputingreferstoadecentralizedcomputinginfrastructurethatbringscomputingresourcesclosertothedatasource, reducingtheneedtotransferlargevolumesofdatatocentralizeddatacentersforprocessing.Inthecontextofautonomous vehicles,edgecomputinginvolvesinstallingcomputingresources,suchasserversorclouddatacenters,atthevehicle'sedge orclosetoitssensors.Thissetupenablesreal-timedataprocessingandimmediatedecision-makingwithoutrelyingsolelyon cloud-baseddatacenters,therebyreducinglatencyandresponsetime.

AdvantagesofEdgeComputinginAutonomousVehicles

LowLatency:Latency,orthetimetakenfordatatotravel fromsensorstoprocessingcentersandback,isacritical factorinautonomousdriving.Byprocessingdataatthe edge,autonomousvehiclescanmakesplit-second decisions,reducingtheriskofaccidentsandimproving overalldrivingperformance.

EnhancedDataPrivacy:Autonomousvehiclesgeneratevast amountsofsensitivedatarelatedtothevehicle's surroundings,passengers,andoperations.Edgecomputing enablesdataprocessingon-board,reducingtheneedtosend rawdatatoexternalservers,thusenhancingdataprivacy andsecurity

ReliabilityinConnectivity:Autonomousvehiclesmayface situationswheretheyloseinternetconnectivity,particularly inremoteordenselypopulatedareas.Edgecomputing ensuresthatcriticalfunctionalitiesremainoperationaleven whenconnectivityisintermittentorunavailable.

BandwidthOptimization:Edgecomputingreducesthe amountofdatathatneedstobetransmittedtothecloud, optimizingbandwidthusageandreducingtheloadonthe networkinfrastructure.

Real-timeDecision-Making:Autonomousvehiclesrequire real-timedecision-makingcapabilitiesforsafenavigation. Edgecomputingenablesfasterdataprocessing,allowing vehiclestorespondquicklytochangingroadconditionsand potentialhazards.

ChallengesandPotentialSolutions

Whileedgecomputingofferssignificantbenefits,thereare somechallengesthatneedtobeaddressedforsuccessful implementationinautonomousvehicles:

ProcessingPower:Autonomousvehiclesdemandhigh processingpowertohandlereal-timedatafrommultiple sensors.Designingefficientandpowerfuledgecomputing systemsthatcanfitwithinthevehicle'sphysicalconstraints isaconsiderablechallenge.

DataSynchronization:Ensuringdatasynchronization acrossedgedevicesandclouddatacentersiscrucialto maintainacoherentviewofthevehicle'ssurroundingsand updaterelevantmapsandnavigationdata.

SecurityConcerns:Edgecomputingintroducesnewsecurity risks,ascomputingresourcesaredistributedandexposedto potentialthreats.Implementingrobustsecuritymeasuresis essentialtoprotectagainstcyber-attacksandunauthorized accesstovehiclesystems.

StandardizationandInteroperability:Tofacilitateseamless communicationbetweenedgedevicesandcloud-based infrastructure,industry-widestandardizationand interoperabilityprotocolsneedtobeestablished.

EnhancedSafetyandRedundancy:Edgecomputing enhancesthesafetyofautonomousvehiclesbyallowing criticalsafetysystemstobeprocessedlocallyonthevehicle. Intheeventofconnectivitylosstothecloudordatacenter, edgecomputingensuresthatessentialsafetyfeatures,such asemergencybrakingorcollisionavoidance,continueto functioneffectively.

ReducedDataCosts:Transmittingmassiveamountsof sensordatatothecloudcanincursignificantdatacosts.By performingdataprocessingattheedge,onlyrelevantand processeddataneedstobesenttothecloud,leadingto reduceddatatransmissionexpensesforautonomousvehicle manufacturersandoperators.

Edge-AnalyticsforAnomalyDetection:Edgecomputing canalsobeleveragedforreal-timeanomalydetection.By deployinganalyticsmodelsattheedge,autonomous vehiclescanquicklydetectirregularpatternsorsystem malfunctionsandtakecorrectiveactionspromptly This contributestohigherlevelsofreliabilityandsafetyin autonomousdrivingsystems.

TrafficPatternAnalysis:Edgecomputingcananalyzetraffic patternsandtrendswithinspecificregions.Thisdata analysiscanaidinpredictingtrafficcongestion,identifying potentialbottlenecks,andoptimizingrouteplanningfor autonomousvehicles,leadingtomoreefficientandtimesavingjourneys.

FutureProspects

Edgecomputinginautonomousvehiclesispoisedto revolutionizetheautomotiveindustry Astechnology advances,theprocessingcapabilitiesofedgedeviceswill continuetoimprove,enablingmorecomplexalgorithmsand AImodelstobedeployedonboard.Additionally, advancementsin5Gandbeyond,coupledwiththe proliferationofconnectedinfrastructure,willfurther enhancethepotentialofedgecomputinginautonomous vehicles.

The Key to Reliable Network Connectivity and Continuity of Operations

The Key to Reliable Network Connectivity and Continuity of Operations

With35patentssecuredinthelargesteconomies

worldwide,FusionLayerprovidesunparalleled visibility,scalability,andcontinuityacross privatedatacenters,publicclouds,andemergingmultiaccessedgeclouds.Theinnovativetechnologiesofferedby FusionLayerhaveenabledsomeofthemostadvanced serviceprovidersandenterprisesworldwidetoimplement end-to-endnetworkautomation,automateIPassignment andconfigurationprocess"es,andseamlesslyextend BSS/OSSautomationtoserviceactivationonthenetwork level.

UnderJuhaHolkkola’sleadership,theCo-founder&CEO, FusionLayer,ispoisedtoplayacrucialroleintheemerging multi-accessedgecloudand5Ginfrastructureneededto scaleoutArtificialIntelligence.

WecaughtupwithJuhaanddiscussedthecompany'sedge inthemarket.

Below are the highlights of the interview:

Tellusaboutyourcompanyindetail.

FusionLayerprovidespatentedNetworkSourceofTruth andIPaddressingsolutions.Thesystemsweprovidelayout theIPconnectivityandthenetworkautomationbedrockfor thevirtualizednetworkfunctions,intelligentdevices,and businessapplicationsrunningacrossprivatedatacenters, publicclouds,andemergingmulti-accessedgeclouds.Our solutionsarebeingruninproductionbysomeofthemost advancedserviceprovidersandenterprisesaroundthe worldfortheirmission-criticalnetworkneeds.

FusionLayer is a product company that has invented and pioneered many network technologies that are being used by billions of people today.

Enlightenusaboutyourspecializedservicesandhow thesesolutionsdrivetransformationsinthedynamic industry.

FusionLayerisaproductcompanythathasinventedand pioneeredmanynetworktechnologiesthatarebeingused bybillionsofpeopletoday.Theseincludethingslike networkautomation,anIPaddressforthecloud,andDNS security,forwhichFusionLayerhassecured35patentsin mostofthelargesteconomiesintheworld.

Thereasonswhytelecomsandenterprisesdeployandrun FusionLayerareprimarilyrelatedtosavingsinthetotal costofownershipandthebusinesscontinuitybenefitswe provide.Theseinclude,forexample:

Ÿ Abilitytoimplementend-to-endnetworkautomationto eliminateserviceandspeeduptime-to-marketfrom weekstominutes.

Ÿ MinimizingOPEXandspeedingupserviceactivation byautomatingtheIPassignmentandconfiguration processesforvirtualizednetworkelementsrunningat theedgeclouds.

Ÿ Speedinguptime-to-marketandrevenuerecognitionby extendingtheBSS/OSSautomationseamlesslyto serviceactivationonthenetworklevel.

Whensuchbenefitsareoperatedatalargescale,thesavings canbemillionsofdollarsannually.Thatisoneofthekey reasonswhysomeofthemostextensivenetworkoperations intheworldhavecometorelyonFusionLayerandthe innovativetechnologiesweprovide.

Whatisthevisionandmissionoftheorganization?

FusionLayerminimizesnetworkdowntimebyautomating allprocessesthattouchnetworks.Thisisachievedwith sophisticatedsolutionsthatprovideunparalleledvisibility, scalability,andcontinuityacrosstheentirebusiness infrastructure:on-premise,inpublicclouds,andatthe edges.

Inshort,ourmissionistosimplifythenetworkedworld.

Whataretheessentialaspectsofprovidingautomated solutions,andinyouropinion,whatattributesdoyou thinkyourclientsadmireinthecompanythemost?

Therearetwothingsthatourcustomersappreciateover everythingelse:

Theefficienciescreatedbycutting-edgetechnology. FusionLayer'scustomersunderstandthevalueofleading technologyandthebusinessadvantagesmoderntechnology providesthemwithoverthecompetition.

Continuityandpeaceofmind.FusionLayer'scustomers aretypicallyorganizationsforwhomreliablenetwork connectivityandcontinuityofoperationsarecritical. ByplacingtheirtrustinFusionLayer,theydemonstrate confidence.Andtoearnthattrustagaineveryday:thisis whatFusionLayerisallabout.

Whataretheimmersivebenefitsoftheservicesthat FusionLayerprovidestoitsclients?

FusionLayerisacrucialelementoftheemergingmultiaccessedgecloud(MEC)and5Ginfrastructurethatwillbe

usedtoruntheArtificialIntelligenceandotherMetaverse applicationsthatwillprovidetheimmersiveuser experienceoftomorrow.So,ourkeyroleistoensurethese applicationshaveaninfrastructuretheycanrunonreliably andefficiently

WhatfundamentalsmakeFusionLayerstandoutasa leadingcompanyintheniche?

FusionLayerhaspioneeredandpatentedmanynetwork technologies,suchasDNSFirewallsarecommonplace today Although,asacompanyofFinnishorigin,wemay haveonlysometimesbeensuccessfulinmarketingthe FusionLayerbrand,wehavemanylargeTier-1telecom companiesaroundtheworldasourcustomers.Thismeans thatthereareliterallyhundredsofmillionsofInternetusers whoarepartiallyrelyingonthesystemsandtheserviceswe provideeverysingleday.

What,accordingtoyou,couldbethenextsignificant changeinyoursector?Howisyourcompanypreparing tobeapartofthatchange?

Thenextbigthinginourbusinesswillbethenewbusiness infrastructureneededtoscaleoutArtificialIntelligence suchasChatGPT.Oncethedistributedmobileedgeclouds with5GconnectivityandAIareinplace,theywillbecome thedriversformoreadvancedimmersiveapplicationsthat willmakeuptheMetaverse.

Thenewbusinessinfrastructurerequiredforallthisisbeing builtalready.Althoughitisstillinitsinfancy,itwillbe

basedontechnologiessuchasMulti-AccessEdgeCloud (MEC),bothpublicandprivate5G,andsomemore traditionaltechnologieslikethepubliccloudandtheprivate datacenterslargeenterprisesstillrun.

FusionLayerplaysavitalroleinthisemerging infrastructure.

Wheredoyouenvisionyourselfinthelongrun,and whatareyourfuturegoalsfortheorganization?

FusionLayer'stechnologieshavepowerfulsynergieswith othertechnologyusersinthe5Gspace,application networking,andOperationsSupportSystems(OSS)space. Giventhis,weexpecttocontinuetoworkwithkeypartners inthismarkettocreatecontinuityandbusinessbenefitsfor ourcustomers.

Whatwouldyouadvisebuddingentrepreneursaspiring toventureintothedynamicindustry?

ThebestadviceIcouldgiveistofocusonemerging megatrends.Thefirstreasonforthisrecommendationisthat globalmegatrendscancarryentrepreneursfarbecauseof theirsubstantialcommercialopportunities.Thesecond reasonisthattherearefewerestablishedstructuresin emergingmarkets,makingiteasierfornewentrantsto innovateastheymoveon.

AtFusionLayer,Metaverseisoneofthemostpromising megatrendsinthetechnologyindustry