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FromChatbotstoAgents
CopyrightFordMotorCo.2025 2
GTC2024
200+ChatbotsusingretrievalaugmentedgenerationinproductionatFord
AgenticAISystemsAreRapidlyIncreasingInCapabilities
CopyrightFordMotorCo.2025
DefiningAIAgents
Anapplicationthatcanplan,reason,usetools,andexecutetasksforusers
CopyrightFordMotorCo.2025 3
FordAIEthicsPrinciples
Trust,SocialResponsibilityandMobility
Buildingtrustandenablingmobilityhasbeenattheheartofwhatwedosince
1903–andAIisnoexception.
OurAIuseisalignedwithFord'spurpose,tohelpbuildabetterworld,whereeverypersonisfreetomoveandpursuetheirdreams.
ProtectionofPrivacy
WeprotectpersonaldatawhenweuseanddevelopAI.
Ourproductsareengineeredforprivacy.
Wecomplywithapplicabledataprotectionandprivacyprinciplesandlawsandhave
appropriatetechnicalandorganizationalmeasuresinplace.
Privacy-by-designconsiderationsareembeddedfromthedesignphaseandthroughouttheAIlifecycle.
CopyrightFordMotorCo.2025 4
ApplyingAIThroughVehicleDevelopmentAndSales
BackOfficeManufacturing
CustomerSupport
Creatingpositiveinteractions
SupplyChain
Engineering&Testing
Acceleratingvehicledevelopment
Design
Real-timepossibilityiterations
CopyrightFordMotorCo.2025 5
DESIGN–RAPIDPROTOTYPING
ProductDesignInnovation
ProblemStatement:Goingfromstudiosketchestorealisticimageryand3-dimensionalmodelstakesasignificanttimeandslowsdownproductinnovation
Goal:Bringvehiclesketchestolifeinstantlyenablingdesignerstomakefasterdecisionsaboutdesignlanguageanddirections
Designersdevelopingaclaymodelofthe2017FordGT
CopyrightFordMotorCo.2025 6
ProductDesignInnovation–ExteriorDesignExample
CopyrightFordMotorCo.2025
Designexerciseonly-notacurrentorprospectiveFordvehicle 7
ProductDesignInnovation–AIDesignAssistant
CopyrightFordMotorCo.2025 8
ProductDesignInnovation–InteriorDesignExample
CopyrightFordMotorCo.2025
Designexerciseonly-notacurrentorprospectiveFordvehicle 9
DESIGN–RAPIDPROTOTYPING
ProductDesignInnovation–WheelDesignExample
Designexerciseonly-notacurrentorprospectiveFordwheeldesign
CopyrightFordMotorCo.2025 10
Designexerciseonly-notacurrentorprospectiveFordwheeldesign
CopyrightFordMotorCo.2025 11
ApplyingAIThroughVehicleDevelopmentAndSales
BackOfficeManufacturing
CustomerSupport
Creatingpositiveinteractions
SupplyChain
Engineering&Testing
Acceleratingvehicledevelopment
Design
Real-timepossibilityiterations
CopyrightFordMotorCo.2025 12
ENGINEERINGANDTESTING-CAE
Physics-BasedNumericalSimulations(CAE)
ProblemStatement:Designingavehiclemeetingspecifiedperformancecriteria(efficiency,safety,reliability,etc.)butvirtual(CAD)designsareoptimizedandverifiedthroughextensiveuseofphysicsbasednumericalsimulations(CAE)whichtakesignificanttime
CopyrightFordMotorCo.2025
Goal:LeverageAItoaccelerateorreplacetraditionalCAEworkflows
13
Physics-BasedNumericalSimulations(CAE)–ScalingChallenge
Ccllcoutt
14M
4M
1M
oiscíc?izc
o?cí;
Oocía?csotito??ocomc?í;
Oocía?csot(la?ct?)íco?laíocomc?í;
Píojcc??o
o??o??ocomc?í;
INOla;cís
hcs?a:ailaolc?cc"tio?csríomli?cía??íc?scalc?o?100,000cclls
?Geometíy-ItroímcoNc?íalOocía?oíroíLaíoc-Scalc?KPKEs,Lic?al.
CopyrightFordMotorCo.2025 14
Physics-BasedNumericalSimulations(CAE)–PrecisionChallenge
Actual(Physics-BasedSimulation)
Meanrelativeerror:2.6%
Predicted(AI)
Predictingcorrectdeltasbetweengeometriesismuchmoreimportantthanabsoluteaccuracy
CopyrightFordMotorCo.2025 15
VirtualWindTunnel
CopyrightFordMotorCo.2025 16
ENGINEERINGANDTESTING-CAE
PhysicsBasedNumericalSimulations(CAE)–CurrentResults(CFD)
OoctIOAM(~15"o?ís)
Nc?íalNc?woík(~10sccotos)
MeanRelativeError:2.3%
CopyrightFordMotorCo.2025 17
PhysicsSim Difference
AISim
CopyrightFordMotorCo.2025 18
ENGINEERINGANDTESTING-REQUIREMENTS
ImprovingEngineeringRequirements
ProblemStatement:Vehicleengineerswriteandmaintainrequirementsthatcanbeambiguous,overlycomplex,havemultiplerequirementspresentedasone,orcontainextraneousinformationobscuringtheactualrequirement
Goal:Helpengineersanalyzeandwriteclearrequirementsthatare,compliantwithstandards
CopyrightFordMotorCo.2025 19
CopyrightFordMotorCo.2025 20
ApplyingAIThroughVehicleDevelopmentAndSales
BackOfficeManufacturing
CustomerSupport
Creatingpositiveinteractions
SupplyChain
Engineering&Testing
Acceleratingvehicledevelopment
Design
Real-timepossibilityiterations
CopyrightFordMotorCo.2025 21
CUSTOMERSUPPORT–KNOWLEDGEACCESS
CustomerKnowledgeAccess
ProblemStatement:CustomerscanfinditchallengingtofindproperinformationwheninteractingwithFordwebsitesduetothesheervolumeofdevelopedinternalknowledgebasesacrosssites
Goal:Createaunifiedapproachtoqueryingvariousknowledgebasesforhelpfulandconsistentproductandassistanceinformation
CopyrightFordMotorCo.2025 22
CustomerKnowledgeAccess–InformationChallenges
FromFhomepagesearchbar
CopyrightFordMotorCo.2025
FromFordSupportpage 23
CustomerKnowledgeAccess–ImprovedOwnerManualExperi
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