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SAP Modernization with AWSLevel 200 WebinarDavid Payne, Head of Enterprise Applications and Database Segment, AWS APACHarpreet Singh, Principal SAP Solution Architect, AWS APACKamal Shah, CIO & CISO, Larsen & Toubro Infotech LtdOct 11, 2018 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.

“Our organisation works without barriers, which ensureswe are working on the right things and have the rightcapability to deliver. We are able to quickly ascertainvalue, we are nimble and move as needed when themarket or technology changes. Ultimately, this reducesthe risk of large projects that go into a black hole andcreates a very visible, flexible and inclusive deliverymechanism focused on value in the hands of thecustomer. The DX programme has delivered more than20 functional releases in the first six months ofoperations, compared to an average of one release permonth over the previous year.Kevin Angland, GM Digital Sservices, MercurySource: CIO NZ 7/2018 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.

SAP on AWS Adoption DriversSAP S/4HANACorporate restructureRapid innovationTech refreshBusiness expansion(going global)Resilience &performance 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.Cost ReductionSecurity & compliance

Extend SAP jointinteroperability solutionsand servicesBPO/AMSThe AWS SAP 360º StrategyEnable SAP solutions through thecertified AWS partnersIntegrate SAP SaaS byenabling the connectedEnterpriseTransform to the SAPDigital Core faster 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.Re-platform to achieve immediate cloudbenefits without disruption* Under Review

Full InteroperabilityAchieving the Full potential of Digital Transformation across all SAP SolutionsMachine LearningService3 GA 1 BetaSecurityAnalytics Total Services20User ExperienceMicro-ServicesData & StorageDevOpsBig DataBuildAnalyticsawsAmazon APIGatewayIoTExtendIntegrateSAP Cloud PlatformNatural LanguageSource: sap.com/SAP Cloud Platform regions and service portfolio 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.IntegrationHANAHANA as a ServiceIoTMachine Learning

2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.

Amazon EC2 Instances for SAP HANAAv a i l a b l e N o w20192418 EC2 instances in AWSregions and availabilityzones Available in Amazon VPC API driven Operate through the AWSConsole & CLI/SDK Direct hardware access incase of Bare Metalinstances Elastic Storage Capacitywith Amazon EBS129612R3R4X1X14X1eEC2 High Memory InstancesSERVER.244.488SERVERTBEC2 Instances (Virtual) 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.EC2 Bare Metal Instances

Why SAP on AWS is ‘different’ SpeedSecurity 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.AgilityFlexibility

A Platform for Application ModernizationRun SAP on AWS at the core ERPDigitalAnalyticsDB & platforms(S/4HANA, ECC, B1 )(hybris Commerce )(BW, BPC, BI )(HANA, SCP CF, NW )Innovation use casesAI & MLBig dataData warehousing(Rekognition, Lex )(Amazon EMR )(Redshift, DMS, SCT ) 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.IoT(AWS IOT, Lambda )Virtual desktop(Amazon Workspaces,AppStream 2.0)

Kamal ShahCIO, LTI

LTI: Larsen and Toubro Infotech LTDBanking Insurance Energy Manufacturing Consumer Media TechDefenceHousing &Real EstateInformationTechnologyShip BuildingNorth America13 Sales office7 Delivery centerConstruction &HydrocarbonFinance&InsuranceSouth America1 Sales office1 Delivery 1 Sales office3 Delivery centerIndia9 Sales offices anddelivery centersMiddle East & SAfrica6 Sales office1 DeliverycenterAPAC5 Salesofficesand deliverycenters

Making of an Intelligent LTI & Workplace of futureTechnology EnablersDigital Business RequirementsIT Modernization Requirements1Faster response tomarketBusiness KPI-driven High SpeedPlatform Experience Design Hyper-ConnectivityChange inbusinessmodelDigital reate Digital FabricCloudIncreasedComputePowerOptimize Enterprise ITStandardizationSimplification ModernizationIndustrialized Operations

How LTI Intelligent Enterprise works Leveraging Intelligent TechnologyRebuild the core on S/4HANAImprove surroundings with Intelligent LOB SolutionsPowered by ncePlanningMachineLearningBlockchainLTI 2.0 withHRSalesSpendManagementInternet agementRobust Data Management on cloud platformLTI “Krossover” project news by s-digital-transformation-at-lti-with-sap-s-4hana/

LTI Runs SAP S/4 HANA in production asticity withVelocityTransparencyin BuildQuick enablement ofOrganization restructureFirst toInstall

Program Krossover - One of the Largest S/4HANA Implementation on AWS Instance for 28K usersValue DeliveredOur Solution Implementation of core Modules such as FI, CO,MM, SD, PS and Mini HR on HANA Platform Deployment of S/4HANA on Cloud (AWS) Development of UI screens and process toIntegrate Contract Creation and Project Creation Scalable reporting structure, automated and40%Reduction in processing time for Contract and Project Creation67%Faster financial closingSeamless Integration with Time Sheet System for Invoicingintegrated processes- resource allocation,invoicing, revenue recognitionEnhanced user Experience using FIORISimplified Process Structure (alignment with Standard SAP)HR Transactional Data – 10 lakh recordsMOSAIC ProfilerTemplate Re-engineeringDe-customization28K EmployeesLTI AssetsAccelerated transition tonext generation of userinterface(UI) technologies3000 Contracts9000 ProjectsMOSAIC Smart AnalyzerS/4HANA Impact Assessment

The right steps have led to benefits realization Integrated Contractand Project StructureShorter ProcurementTurnaround time bystreamlined to assureOperational easeMobile enablement ofPR/PO ApprovalReal Time AvailabilityCompliance with GSTof Cost plan, Revenueand profitability ofProjectsRequirementsBenefitsOptimized InvoicingProcess leading to aIntegrate with PeripheralSystems for Seamlessshorter Monthly closurecycleflow of dataEfficient ResourceAllocation and improveImproved EmployeeExperience byoverall ProductivityLeveraging Fiori, SuccessFactors and Concur

Big Data – SAP Data Lake on AWSSAP & Amazon Data Lake 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.

To Become a Leader, Data is Your DifferentiatorOrganic revenue growth24%15%LeadersOrganizations that successfullygenerate business value from theirdata, will outperform their peers. AnAberdeen survey saw organizationswho implemented a Data Lakeoutperforming similar companies by9% in organic revenue growth.*Followers*Aberdeen: Angling for Insight in Today’s Data Lake, Michael Lock, SVP Analytics and Business Intelligence 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.

Traditionally, SAP Analytics Looks Like ThisBusiness Intelligence Relational data TBs scale Schema defined prior to data load Operational reporting and ad hocSAP Business warehouse Large initial CAPEXOLTPERPCRM 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.LOB

SAP Data Lakes - Extend the Traditional ApproachBusiness IntelligenceBig Data processing,real-time, Machine Learning Relational and non-relational data TBs–EBs scale Diverse analytical enginesData LakeSAP Business WarehouseOLTP ERPCRMLOB Low-cost storage & analyticsDevicesWeb 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.SensorsSocial

Logical architecture – SAP Data Lake on AWSIngestStreamingdataSAP &Non-SAPdata sourcesAmazon KinesisData StreamsAmazon KinesisData FirehosePublishAmazon LambdaPerform real-time transformationsand store the resultsAmazon EMR(Apache Spark)Read latest usage data(emr-dynamodb-connector)Amazon DynamoDBAmazon AthenaOffload to DWH for analyticsand reporting purposes(COPY)IngestTransformStore dataPerform batch transformationsQuery FederationTransformed dataAdvanced analytics & AIAnd other.Query FederationAnalyzeInteractive SQLanalysisAmazon S3Raw eStore data in master dataset for historical analysisIngest datathrough avariety ofservicesfrom AWSor 3rd partyvendorsRelational ContextTransformPublishQuery data in place usingRedshift SpectrumAmazonMachine Learning and AIAWS Glue (Data Catalog)Amazon IAM, KMS, CloudTrail, CloudWatch 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.Amazon RedshiftAmazon API Gateway and Lambda functionsStructured/Unstructured dataData sourcesAppsConsumeBI Tools(PowerBI,Tableau)

Amazon Athena—Interactive AnalysisInteractive query service to analyze data in Amazon S3 using standard SQLNo infrastructure to set up or manage and no data to loadQuery InstantlyPay per query Zero setup cost; justpoint to S3 andstart queryingPay only for queriesrun; save 30–90% onper-query coststhrough compression 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.OpenEasySQLANSI SQL interface,JDBC/ODBC drivers,multiple formats,compression types,and complex joins anddata typesServerless: zeroinfrastructure, zeroadministration

Query Federation – SAP HANA to Amazon AthenaYour dataWeb app dataAWS GLUE ETLAmazon RDSOther databasesAmazon S3(Raw Data)Amazon S3(Transformed Data)On premises dataStreaming data 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.AWS GLUECrawlersAWS GLUE DATACATALOGAmazon AthenaSAP HANA in-memorydatabase platform

Demo - SAP HANA & Amazon Athena Integration 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.

Predictive MaintenanceSAP S/4HANA & AWS IoT 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.

AWS IoT is a fully managed cloud platform that lets connected deviceseasily and securely interact with cloud applications and other devices.Securely connect andmanage any physicaldevice across multiplenetworks and protocolsDevice GatewayExtract and Filter data fromyour devices and takeaction with custom RulesDevice SDK 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.Device SecurityRegistryCreate Web and MobileApplications that Interactwith Devices reliably atany timeRules EngineShadow

Kinesis Firehose – Easily Capture & Deliver Data Write data to a Kinesis Firehosedelivery stream from a variety ofsources Transform, encrypt, and/orcompress data along the way Buffer and aggregate data bytime and size before it is writtento destination Elastically scale with no resourceprovisioning 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.AWS Platform SDKsKinesis AgentAWS IoTAmazon Kinesis FirehoseAmazonS3AmazonRedshiftAmazonElasticsearch Service

ArchitectureIoT DeviceIoT DeviceKinesis FirehoseSplunkIoT DeviceAWS IoTIoT DeviceIoT DeviceLambda function 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.SAP NWGatewaySAP S/4HANA

Product IdentificationMachine learning on the Edge 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.

AWS DeepLensThe world’s first deep-learningenabled video camera for developers 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.

AWS GreengrassMoving to the edgeAWS Greengrass extends AWS onto your devices, sothey can act locally on the data they generate, whilestill taking advantage of the cloud.Data processedlocally 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.Data processedin the cloud

Amazon SageMakerCollect and preparetraining dataDeploy modelin production 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.Choose and optimizeyour ML algorithmSet up and manageenvironments for trainingScale and manage theproduction environmentTrain and tune model(iterate, iterate)

Architecture – SAP on AWS (Machine Learning on the Edge)Edge ComputeDeploytrainedmodelTrain model torecognize theproductAWS aProductrecognized;post JSONpayloadMQTT TopicRun inference at edge 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved.GetProductDataShowProductLambdaWeb AppAPI GatewayGetProductDataSAP Gateway