Capgemini’s AI Engineering And Cloud Data Platform Practice
Capgemini’sAI Engineeringand Cloud DataPlatform Practicein association with
Capgemini’s AWS DataAnalytics PracticeCapgemini’s synergy with growthCloud Services MarketData Analytics including AI ML and AI Engineering on Cloudplatforms are seeing massive growth in the industry.As per Gartner, the cloud services market is projected togrow 17.5 percent in 2019 to total of 214.3 billion, up from 182.4 billion in 2018.Capgemini is targeting to grow over 40% in revenue andhead count in 2019 its Data Analytics and Cloud services. Theportfolio shift and capability building had started some yearsback with heavy investments in learning, development andinnovation in the THE NEW technology offerings. With stronggrowth strategies around adoption of Cloud, it bolstersCapgemini’s capabilities in Artificial Intelligence, MachineLearning, and Big Data Engineering.Table 1: Worldwide Public Cloud Service Revenue Forecast (Billions of U.S. Dollars)20182018201820182018Cloud Business Process Services (BPaaS)45.849.353.157.061.1Cloud Application Infrastructure Services (PaaS)15.619.023.027.531.8Cloud Application Services (SaaS)80.094.8110.5126.7143.7Cloud Management and Security Services10.512.214.116.017.9Cloud System Infrastructure Services 2Total MarketBPaaS business process as a service;IaaS infrastructure as a service;Paas platform as a service;SaaS software as a serviceNote: Totals may not add up due to rounding.Source: Gartner (April 2019)3Capgemini’s AI Engineering and Cloud Data Platform Practice
Alliance and PartnershipCapgemini’s journey with AWS Data Analytics started morethan a decade back. In 2008, Capgemini started formalpartner relationship with AWS and since then the partnershipjourney grew stronger with AWS Premier PartnershipConsulting partner award, SAP Competency Award, FinancialServices competency Award, AWS Managed Service ProviderCertification, Data Migration Competency Award.Awarded migration competency by AWSParticipation in AWS Mass Migration Program (MAP)Trained 2,000 FTEs on AWSSelected as one of four GSIs to participate in theVMware Cloud on AWSAdditional 5400 FTEsto be certified on AWSAlliancegovernancepresence infive continentsGlobalPartnershipformed2017AwardedAWS relationshipbeginsAwarded SAPcompetencyby AWSAwarded Financial Servicescompetency by AWSCertified AWS ManagedServices ProviderTrained 1,000 FTEs on AWSAWS Cloud Adoption Frameworkembedded into CapgeminimethodologiesEstabalished AWS-dedicatedmigration/cloud20222018Awarded AWS TransformationAward in GermanyStrategic Initiative launched togetherwith AWSFirst AWS partner to get certified onnew AWS MSP 3.3Reached 700 associate and professionalcertificationsTrained 2,500 FTE’s on AWSInsights & Data practice launched onAWS, to ramp-upto 1,000 people over three years4
Talent FosteringCAPGEMINIAI ACADEMYLearning Options: Artificial Intelligence Statistical Programming Languages Math for data science Data Science Machine learning Cloud Technologies AI delivery methodologies AI solution and salesCertification Levels: AI Cadet – Level 0 (Foundation) for aspiring AIdomain learners AI Genie - Level 1 (For Developer Community)for Software developers on AI projects.Focus on Machine & Deep learning AI Guru - Level 2 (AI on platforms and forleads) - For proficient AI Developers, DeliveryLeads for AI projects AI Captain - Level 3 (Growth) - Forexperienced AI professionals contributing inSales & Solutioning effortsWho attends this academy? Employees who want to develop themselvesin AI domain Academy caters to skill needed for roleslike data scientists, AI engineering, deeplearning solution experts and AI architects Perform AI is Capgemini’s holistic offeringin the market Caters to host of business situations toenable clients to differentiate in market5Capgemini’s AI Engineering and Cloud Data Platform PracticeCapgemini has more than 16,000 engineers who specializesin Data and Analytics. There are 12,000 cloud specialists inAWS, Azure, Google, Alibaba Cloud Platforms. Capgemini isfirst AWS Premium Consulting Partner jointly certified fordelivering ERP application on AWS. Capgemini differentiatesfrom competitors by building industry specific solutions suchas Guidewire on AWS. Capgemini is certifying additional 6000people, and currently has 1,000 AWS certified people, with100 engineers certified in AWS Professional and Specialtylevel certification.To enable massive people transformation, Capgemini haslaunched AI Academy. AI Academy is with target to educate1,000 employees in Data Analytics, Cloud, AI Engineeringand ML in 2019. Apart from AI Academy various otherlearning and development programs such as AWS WellArchitected Review Training, AWS Data Labs, AWS Innovationdrives, Capgemini is targeting to transform additional6,000 employees. AWS Certification is now a mandatoryrequirement among AWS engineers, and Capgemini supportcertification preparation investing 600 to 1000 USD perperson for preparation and examination. Investments onlearning and development are driven on bold people agenda –to attract, grow, transform and retain best talent.OfferingsCapgemini’s has invested in multiple departments for AWSCloud competency building. Insights & Data – Cloud DataPlatform and AI Engineering, Cloud Foundation Services,Cloud Infra Structure Services are some examples. Theofferings include – Inspection, Consulting, Advisory, Architecture Design,Solution Protype building Cloud Application, Data and Analytics Deliveryand Maintenance Hybrid and Multi Cloud Design to Deploymentsand Maintenance Design, Development and Maintenance of UnifiedData Lake Data Estate Modernization Data Science, Artificial Intelligence & Machine LearningSolutions with support from Capgemini’s AI ML ResearchLab, Accelerators and Assets/IPs Cloud Reference Architecture and Migration frameworks,Methodologies and Accelerators curated for variousindustries and business sectors.
Key Components of the Next Generation Enterprise Data PlatformEApplied Insights & AIDEnhance the Data PlatformCModernize the LandscapeBCore Data & Platform ManagementCustomer Value Analytics Fraud AnalyticsRealtime analytics on Variety of Information at High VelocityEnabling ‘Data as a Service’Database Management with Master Data Management,Metadata, Data Quality, Data SecurityPlatform DeploymentABringing Agility, Scalability, Automation, Security, alongwith Unified control across multiple options (on-prem, oncloud, containers)Capgemini’s Technology Capabilities on AWS Cloud ServicesDeep LearningMachine eAPlatformAmazon Managed MLAmazon SageMakerMXNet, TensorFlow,Caffe, Caffe2, Theano,Torch and KerasText to SpeechSpeech RecognitionAmazon PollyAmazon TranscribeHadoop/SparkEMRDatabricksRelational DBRDSStreamProcessingKinesisNoSQL DBDocument DB,MongoDBImage & VideoAnalyticsText AnalyticsComprehendAmazon RekognitionNatural LanguageProcessingTranslationAmazon TranslateAmazon p FunctionsGlue, LambdaSpecialPurpose DBAthena,SpectrumDataWarehouseGraph DatabaseAmazon NeptuneTimeseries, QLDBAmazon RedshiftVisualizationQuickSightData CacheElatiCache (Redis,MemcacheDObject StorageBlock StorageFile StorageArchival StorageQueuesS3EBSEFSGlacierSQS, MKS,KinesisAWS IaaS, PaaS Services, DevOps Tool Chain6
Capgemini also has strategic alliance with selected vendorson cloud platform. Informatica, Databricks, Snowflake,Talend, SAS, and many more.Reference ArchitectureSolution OfferingsReference ArchitectureAdvisoryData Estate Modernization (including Migration factory)Unified Data Layer for Hybrid Multi-Cloud ContextMigration to SharePoint OnlineGDPR and Data PrivacySmart Analytics on AzureAI Solution LabsAssets & AcceleratorsKey EnablersTalent TransformationDedicated Azure and AWS labsPartners & AlliancesGlobal team including CTO for eachpartnerREAP ( Replatforming Analytics Engine on Azure )Great BI (Estimation)GDPR FrameworkSmart Procurement Analytics ManagementSmart Asset ManagementCenter of ExcellenceEnablingsavingsthrough assets& accelerators1800 Microsoft, AWS and GCP Practitioners,200 clientsStrategic Alliances With Selected Vendors onCloud Platforms (Informatica, SAS, Databricks,Snowflake)Proven delivery methodologies, accelerators;300 projects in 2018Strategic Alliances & PartnersData Analytics Accelerators, Assets and IPsframeworks, BI Innovation (REAP), ETL to Spark migration(JumpSpark), TeraData to Spark (TeraSpark), Schema & ScriptMigration (Papillion) Testing Framework (Virtu), MigrationData Reconciliation, Meta Data Driven ETL Accelerator (MELT)Capgemini’s assets on cloud solutions includes REAP,mRapid Accelerated Data Estate Modernization Offeringssuch as LEGACY TO NEW AGE DATA FOUNDATION (LEAP),Intelligence Integration Services (IIS), Data As A ServiceRDBMS to CloudDBMSJumpsparkVirtuPapillonAzure Fast-TrackValidationPolybase DynamicLoadMigrate to a newage Cloud DBMSETL to SparkMigrationE2E testingFrameworkScema & ScriptMigrationAzure Fast Trackload using ADFReconciliation ofTarget dataMeta-data drivenDynamic LoadServices for:Kickstart Migrationof ETLs to Spark:End-to-endautomated testingframeworkthat manages:Database specificcomponents to:Data Replicationsto Azure using ADFDynamic scripts forvalidation of dataData Load toAzure SQL DWSemi-automatedconversion ofSQL-Based Source(e.g. Teradata,Oracle) to CloudDBMSComponents namely Pythonbasedtransformation,Snowflake SQLand ObjectsSemi-Automatedconversion ofsource - targetmapping to sparkcode.Automated Testing- Objects, Scriptsand dataCovert TeradataBTEQ to SQLConvert TD tableto Azure SQLMigration orReplication ofdata fromOn-prem to AzureDB/DW/LakeAutomatedOperationalreconcilitation ofmigrated/replicated dataMeta-data drivenload of data fromAzure data lake totables created inAzure SQLDatawarehouse(e.g. Snoflake)7High degree ofreusability andefficiency whilesignificantlyreducing effortTemplatized SparktransformsData ReconcilitaionData qualityelementsAutomate thetranslation of SQLstatements fromRDBMS (e.g.Oracle) to ANSItoolCapgemini’s AI Engineering and Cloud Data Platform PracticeAuto creation ofAzure DataFactory PipelinesFliexible,extensible &reusable hybridarchitectureRefere Appendix 1.1for detailed approach
Thought LeadershipCapgemini constantly contributes to Data Analytics Cloud community by presenting architecture patterns, best practices anddesign methodologies, field experiences about design and implementation, customer success stories, in conferences such asAWS-Reinvent, AWS Summits, Gartner Customer Experience and Technology Summit, Nasscom Annual Technology Conferences,Forester Data Strategy & Insights Conference, Microsoft Ignite, Google Cloud Next, Informatica World, and many more.There several white papers publications by Capgemini AI Research published.Capgemini Research Institute – AI researchImpact on theworkforce/upskillingIntelligent automationAI in cxAI leadersThe Secret to WinningCustomers’ Hearts WithUpskilling your people forthe age of the machineWhy a workforce upskilling strategy iskey to unleashing automation’sproductivity potentialTitle; Ubuntu Light;50pt/60DigitalTransformationReview Eleventh EditionAdd Human IntelligenceSubtitle; Ubuntu Bold; 12pt/15;ArtificialIntelligenceDecoded1Voice assistantsConversational CommerceWhy Consumers Are Embracing Voice Assistantsin Their LivesIntelligent automationin FSGrowth in the MachineHowcan move intelligent automationfrom a cost play to a growth strategyAI use casesAI in retailTurning AI intoconcrete value:the successfulimplementers’ toolkitTitle; Ubuntu Light;50pt/60Subtitle; Ubuntu Bold; 12pt/15;BUILDING THERETAIL SUPERSTAR:How unleashing AI across functionsoffers a multi-billion dollar opportunityDIGITALTRANSFORMATIONINSTITUTEBy Capgemini Digital Transformation InstituteCapgemini enterprise architects and engineers has deep level insights about technology fitments curated for individualcustomers use cases, best practices of design and implementation, accelerators to catalyze and simplify customer cloudadaption journeys.For more details, please checkhttps://www.capgemini.com/research/8
For more details contact:Aurobindo SahaI&D Global AWS Chief Technology Officeraurobindo.saha@capgemini.comEric ReichGlobal I&D AI Engineering and Cloud Data Headeric.reich@capgemini.comAboutCapgeminiLearn more about us atwww.capgemini.comThe information contained in this document is proprietary. 2019 Capgemini. All rights reserved.Rightshore is a trademark belonging to Capgemini.MACS GCS 20190619 MKA global leader in consulting, technology services and digital transformation,Capgemini is at the forefront of innovation to address the entire breadth of clients’opportunities in the evolving world of cloud, digital and platforms. Building on itsstrong 50-year heritage and deep industry-specific expertise, Capgemini enablesorganizations to realize their business ambitions through an array of services fromstrategy to operations. Capgemini is driven by the conviction that the businessvalue of technology comes from and through people. It is a multicultural companyof over 200,000 team members in more than 40 countries. The Group reported2018 global revenues of EUR 13.2 billion.
Consulting partner award, SAP Competency Award, Financial Services competency Award, AWS Managed Service Provider Certification, Data Migration Competency Award. Formal relationship begins Awarded SAP competency by AWS Global Partnership formed Awarded AWS Premier Consulting Partner Additional 5400 FTEs to be certified on AWS Awarded Financial .
Dr. Brian Whitmore - Capgemini VR & AR meets Microservices Ben Scowen Capgemini Gary Baptist Capgemini Unblocking innovation and agility Roman De Oliveira Mulesoft 15:15 - 15:45 Driving transformation through insight Lee Brown Capgemini 15:45 - 16:15 16:30 - 17:00 SAS Viya: Rapid innovation in an open, connected world Paul Jones SAS Blockchain .
SAP and Capgemini are working together as part of this initiative to address the technological and organizational challenges of their clients going digital. Capgemini Digital Control Room Analytics leverages Capgemini’s proven Digital Transformation Framewo
Capgemini had deployed Cisco ACE load balancers to load balance web, mail and other applications in the multi-tenant data center. "Capgemini shares the same hardware for a lot of different customers," says Sven Verbeek, Capgemini's technical consultant. A major requirement for new networking hardware is suitability for multi-tenancy; it
cloud, ata, AI, connectivity, software, igital enineerin and latfors. The Group reported in 2020 global revenues of 16 billion. Get The Future You Want Visit us at www.capgemini.com MACS 3691_10-2021 For more details contact: Valérie Perhirin Managing Director, Insight Driven Enterprise - Capgemini Invent valerie.perhirin@capgemini.com
Case Study: CAPGEMINI 1 CASE STUDY: CAPGEMINI WOMEN’S LEADERSHIP DEVELOPMENT AT A GLOBAL SCALE CONTEXT Capgemini is a global leader in consulting, digital transformation, technology and engineering services. A responsible and multicultural comp
Capgemini case study: building from expertise - using in-house talent to create a new approach to managing and using data. Capgemini employs over 180,000 people across 40 countries and is a global provider of consulting, technology and outsourcing services. Built around highlyFile Size: 677KB
education and training programs dedicated to SAP for Utilities. Capgemini has developed internal training material based on UPM and provides industry leading practices from various IS-U, CRM and Enterprise Asset Management projects. Typically, the deployment of Capgemini UPM methodology along with pre-configured functionality within such .
The Capgemini next generation ADM proposition enables clients simultaneously to capture business value from next-gen industrialization and transformation. It is implemented in accordance with Capgemini' s Collaborative Business Experience model, which yields better, faster, and
