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Cloud Pak for DataThe data and AI platform invented to achievemodern innovations faster.More information available atibm.com/products/cloud-pak-for-data

In today's data and AI landscape, we have addressed computecapacities, maturity of point tools, availability of data sources, andautomated AI functionality. What used to be limiting factors are nowadding unnecessary complexity and stifling the ability to achievemodern outcomes with speed and agility. Instead of how individualtools advance, business today requires emphasis on how capabilitiesevolve together.CollectData and AI space is primed to reinvent itself with a holistic platformapproach. Opportunities for cost reduction, tools consolidation andstreamlining processes are immense.AI LadderA holistic data strategyFive critical steps youneed on your Journeyto AI.Interoperability removes redundant and inefficient spending bymaximizing current and future investmentsSpeed to capability delivery empowers teams removing lag-timewhen something is needed todayUnification of experience removes hurdles, handoffs, andduplication of work -- emphasizing process efficiency and innovationvelocityBusiness outcomes and priorities have not changed. It is challenges indelivering those outcomes faster and more accurately which forcesreinvention. With our Ladder to AI strategy, a connected datadevelopment lifecycle approach, IBM has reinvented how organizationswill achieve faster and more targeted value from their data. Cloud Pakfor Data is the data and AI platform that delivers all of the capabilitiesyou need to attack any data challenge.ModernizeMake your data ready for an AI andhybrid multi-cloud world.CollectMake data simple and accessible.OrganizeCreate a business-ready analyticsfoundation.AnalyzeAI augmentation will createtrillionof business value in 2021**Gartner, INC. Aug 2019Build and run AI with trust andtransparency.InfuseOperationalize AI throughout thebusiness.

Cost rease business and analyticsuser’s ability to consume all data in aself-service and governed way,decreasing time to insight whilereducing cost and risk.Decrease time to value in yourenterprise through a DataOpsapproach to ensure that analyticsand AI are built on high-qualityassets, resulting in increasedaccuracy, faster time to deployment,and reduced risk throughout theorganization.- Utilize all compute- Visibility across the enterprise- Leverage 100% of the data youneed- Connect IT and data governance- Trace back to data sources- Make data governance agile- Safeguard data with policy controls- Know what data is availableAnalyzeInfuseIncrease deployment speed,accuracy, and trust of AI modelsthrough an integrated toolset thatallows users of all skill levels to buildand deploy AI.Truly operationalize AI. Enablehumans and machines to cooperateand complete ever more complextasks at speed and scale.- Collaboration is powerful- A lifecycle fed directly into AI Apps- Reliably sourced models- Automate business processes- Employ AI-assisted intelligence- Automate planning, budgeting, andforecasting analyticsStatistics from the 2020Forrester Total EconomicImpact studyibm.biz/cloudpakfordata-tei65-85% decreaseContainers And ContainerManagement EfficienciesApplication management andefficiency will save 65% to 85% ininfrastructure and associatedmanagement25-65% reductionData Virtualization AndGovernanceAutomation and faster access withgovernance improved productivityand reduces ETL requests by 25% to65% 3M in savingsData Science, MachineLearning and ArtificialIntelligence Benefits50% improvement in Data ScientistProductivity (recorded savings of 1.2 million to 3.4 million) 7.3Min benefits gain(TEI study)430%faster than federation(IBM testing)65%reduction in ETL jobs(TEI study)

Cloud Pak for DataA whole greater than the sum of its partsCloud Pak for Data automates the Ladder to AI. It drives a modern enterprise strategy byproviding the connective fabric throughout the end-to-end data lifecycle for every tool andpersona in the process. By incorporating 50 IBM services, connecting to an even greaterpartner ecosystem of capabilities and leveraging an any-cloud environment model, itdelivers a seamless user experience where the whole is greater than the sum of its parts.Capabilities available, when neededServices EcosystemWith a click, search and access a growingecosystem of data and AI services, IBMindustry accelerators, and partnerofferings to expand upon Cloud Pak forData’s end-to-end capabilities.Unified User ExperienceCollaborative Data LifecycleSpeed time-to-value with a single userexperience that integrates datamanagement, data governance and analysisfor greater efficiency and improved use ofresources.Existing infrastructure UtilizationData VirtualizationQuickly and easily query across multipledata sources without moving your data.Kubernetes implementationRed Hat OpenShiftLeverage the leading hybrid cloud,enterprise container platform for aninnovative and fast deployment strategy.Hybrid Multi-Cloud worldAny CloudAvoid lock-in and leverage all cloudinfrastructures with our multi-cloudapproach.

01 Foundational ServicesA full data lifecycle of services integrated in oneplatformCollectDb2 EventstoreDb2 WarehouseStore and analyze over 250 billion events per daywith a memory-optimized database for real-timeanalytics, event-driven apps and AI with machinelearning.A client-managed, highly flexible operationaldata warehouse for private clouds andcontainerized deployments.Data VirtualizationMakes queries across multiple data sources fastand easy without moving your data.BigSQLAn enterprise-grade, hybrid ANSI-compliantSQL-on-Hadoop engine, delivering massivelyparallel processing (MPP) and advanced rant administrative and editorial privileges tothe right people and put analytics capabilitiesat their fingertips.Master Data ConnectInstascanVisualizeComprehensive method to define and managean organization’s critical data. It provides asingle, trusted view of data across the enterprise,agile self-service access, analytical graph-basedexploration, governance and a user-friendlydashboard.Uses native index to give you visibility into yourcloud data. Perform Risk Assessment andCompliance Check with speed and confidence bytaking advantage of industry-recognizedsampling algorithms.From quickly identifying data governance rulesassigned to datasets to tracking computeconsumption of your various capabilities; asingle vantage point for your entire dataestate.InfoSphere Information AnalyzerCollaborateWatson Knowledge CatalogIncludes Data RefineryCatalog, understand, govern, analyze and deliverbusiness-ready data to your data citizens.Included in WKCProvides data profiling and analysis to accuratelyevaluate the content and structure of your datafor consistency and quality.Information Governance CatalogRegulatory AcceleratorIncluded in WKCIBM InfoSphere Information GovernanceCatalog (IGC) is a web-based tool that allows youto explore, understand and analyze information.Included in WKCStreamline the process of complying withregulations by harnessing the power of machinelearning.Open Source ManagementOpen source software management; OSS.Infuse your AI with trust and transparency.Understand how your AI models make decisionsto detect and mitigate bias.Watson StudioSimplify and scale data science to predict andoptimize your business outcomes.Watson Machine LearningIncludes Auto AIDeploy machine-learning models into productionat scale.Guardium (integration component)Integration with external security informationand event management (SIEM) systemsModel DevelopmentBuildAt this phase in the AI lifecycle, it is critical toensure companies use the right algorithms tobuild their models for making predictions.AnalyzeWatson OpenScaleAccelerate time to team insights. Centralizeworkflows in a single interoperable platformwhere multiple roles and teams can operate asone.Analytics Engine for ApacheSparkA powerful unified analytics engine for largescale distributed data processing and machinelearning.IBM StreamsLeverage continuously available data from allsources to discover opportunities faster.Cognos DashboardAn API-based solution that lets developers easilyadd end-to-end data visualization capabilities totheir applications.RunPut custom models into production, in anapplication or business process. Once a modelis built and running, the question becomes:how can it be scaled with trust andtransparency? This is where managementplays a crucial role.ManageBy having the management in place,organizations can track who changed themodel, when the model was deployed, and thelineage on the model. By tracking all theseitems, organizations can ensure their modelsare not biased, and that they’re explainableand transparent.3

02 Extended ServicesA growing ecosystem of additionalCapabilities to utilizeCognos AnalyticsCognos Analytics is an AI-fueled business intelligence platform that supportsthe entire analytics cycle, from discovery to operationalization. Visualize,analyze and share actionable insights about your data with anyone in yourorganization.Db2IBM Db2 is a family of hybrid data management products offering acomplete suite of AI-empowered capabilities designed to help you manageboth structured and unstructured data on premises as well as in private andpublic cloud environments. Db2 is built on an intelligent common SQL enginedesigned for scalability and flexibility.Decision OptimizationIBM Decision Optimization represents a family of optimization software thatdelivers prescriptive analytics capabilities to enable organizations to makebetter decisions and deliver improved business outcomes.Financial Crimes Insights (FCI)Simplify the process of detecting and mitigating financial crimes with AI andregulatory expertise.Financial Services WorkbenchDesign, implement, and deliver microservices that allow you to build AIbanking apps faster.Information ServerIBM InfoSphere Information Server is a market-leading data integrationplatform which includes a family of products that enable you to understand,cleanse, monitor, transform and deliver data, and to collaborate to bridge thegap between business and IT. InfoSphere Information Server providesmassively parallel processing (MPP) capabilities to deliver a highly scalableand flexible integration platform that handles all data volumes, big and small.A whole greaterthan the sum of itsparts.Connect more capabilities with theinteroperability of Cloud Pak for DataInfoSphere DataStageIBM InfoSphere DataStage provides a graphical framework for developingthe jobs that move data from source systems to target systems. Thetransformed data can be delivered to data warehouses, data marts, andoperational data stores, real-time web services and messaging systems, andother enterprise applications.Master Data Management (MDM)Master data management (MDM) is a comprehensive method to define andmanage an organization’s critical data. It provides a single, trusted view ofdata across the enterprise, agile self-service access, analytical graph-basedexploration, governance and a user-friendly dashboard.Planning AnalyticsIBM Planning Analytics is an integrated planning solution that uses AI toautomate planning, budgeting, and forecasting and drive more intelligentworkflows.SPSS ModelerDrive ROI and accelerate time to value with an intuitive, drag-and-drop datascience tool4