Unlock the value of your data in new ways and accelerate your journey with IBM Data and Analytics.

Provide a trusted data foundation for AI by collecting and organizing data, then virtualize it across disparate systems for AI-fueled decisions. Learn to reduce regulatory and reputational risk with solutions from IBM Watson and IBM Security.

Artificial intelligence is changing the way businesses operate, and data is the key to unlocking its potential. IBM Data and Analytics provides the tools you need to collect, organize, and act on data so you can make better decisions for your company.

IBM Data and Analytics training will provide you with expertise to elevate customer experiences, automate IT operations and improve financial planning by integrating AI into workflows and learn to create an enduring data and AI strategy with a data & AI platform that runs anywhere.

Transform your business with the power of AI. With IBM Data and Analytics, you can get ahead of the competition by making smarter decisions based on real-time data. Enroll in an IBM course today.

Unlock the value of your data in new ways and accelerate your journey with IBM Data and Analytics.

Provide a trusted data foundation for AI by collecting and organizing data, then virtualize it across disparate systems for AI-fueled decisions. Learn to reduce regulatory and reputational risk with solutions from IBM Watson and IBM Security.

Artificial intelligence is changing the way businesses operate, and data is the key to unlocking its potential. IBM Data and Analytics provides the tools you need to collect, organize, and act on data so you can make better decisions for your company.

IBM Data and Analytics training will provide you with expertise to elevate customer experiences, automate IT operations and improve financial planning by integrating AI into workflows and learn to create an enduring data and AI strategy with a data & AI platform that runs anywhere.

Transform your business with the power of AI. With IBM Data and Analytics, you can get ahead of the competition by making smarter decisions based on real-time data. Enroll in an IBM course today.

  • 2Z840G: InfoSphere MDM Workbench v11

    RM2,142.00RM4,850.00
    3 Days SPVC

    This 2Z840G: InfoSphere MDM Workbench v11 course is designed for anyone who wants to get an understanding of how to use and customize the InfoSphere Master Data Management using the InfoSphere MDM Workbench. This course takes a participant through the process customizing both the Virtual and Physical MDM using the InfoSphere MDM Workbench. The focus of the course is on the core features of the Workbench: Creating a Physical MDM Addition, creating a Physical MDM Extension, creating a Physical MDM Behavior Extension, creating a composite service, deploying a Virtual MDM configuration, configuring the Virtual Data Model, creating a Virtual custom Composite View, creating a Virtual Callout Handler, generating an enterprise service interface using the Virtual data model and customizing a Hybrid implementation.

    For each core area, the instructor will explain the high-level concepts, have the participants work with the feature and then demo and review the feature details. Heavy emphasis is put on exercises and activities, allowing course participants to apply the knowledge that they learn in the classroom, after course conclusion.

    If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.

  • 2 Days SPVC

    Do you want to find match member records, link member records, and perfect a search algorithm for your InfoSphere MDM Virtual implementation? Then this course is designed for you. The InfoSphere MDM Virtual Module Algorithms v11 course prepares students to work with and customize the algorithm configurations deployed to the InfoSphere MDM Probabilistic Matching Engine (PME) for a Virtual MDM implementations. The PME is the heart of all Matching, Linking, and Searching for entities (Person, Organization, etc) that exist in InfoSphere MDM. This course has a heavy emphasis on the exercises, where the students will implement the customization discussed in the course to perform matching, linking, and searching on fields not provided by the default implementation. At the end of this course it is expected students will feel comfortable customizing an algorithm for the PME for a Virtual implementations.

    If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.

  • 3 Days SPVC

    This 2Z930G: InfoSphere MDM Physical Domains course is designed for anyone who wants to get an understanding of the Data Domains for the InfoSphere Master Data Management Physical Module. This course takes a comprehensive look at the three core data domains of InfoSphere MDM: Party, Account, and Product. For each of the domains spanned by InfoSphere MDM, participants will be exposed to the data model, services, and rules associated with the main entities of that domain. Heavy emphasis is put on exercises and activities so that the participants can apply the knowledge that they learn after course conclusion.

    If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.

  • 2 Days SPVC

    Do you want to find duplicates and perfect a search algorithm for your InfoSphere MDM Physical implementation? Then this course is designed for you. The InfoSphere MDM V11 Physical Module Algorithms course prepares you to work with and customize the algorithm configurations deployed to the InfoSphere MDM Probabilistic Matching Engine (PME) for the Physical MDM implementation.

    If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.

  • 1 Day SPVC

    SPSS Modeler is available on IBM Cloud Pak for Data V2.5. This course reviews the basics of how to import, explore, and prepare data, and introduces the student to machine learning models with SPSS Modeler on Cloud Pak for Data.

  • 0.5 Days SPVC

    This 6X235G: IBM Cloud Pak for Data v2.5.x Data Virtualization learning offering will focus on the Data Virtualization add-on to IBM Cloud Pak for Data. Students will learn about the Data Virtualization technology and be able to create connections to remote data sources.

    The offering will also cover how to create and manage virtual assets, such as database tables or views, from the remote data sources. Finally, the students will use those assets within IBM Cloud Pak for Data without needing to move any data.

  • 1 Day SPVC

    This learning offering will tell a holistic story of Cloud Pak for Data including collaboration across an organization, which is key in this platform. Applicable to all personas. Multiple use cases will provide understanding of how organizations can benefit from Cloud Pak for Data. A variety of features will also be explored, providing students with the insight on how to use the platform. This learning is relevant for Cloud Pak for Data and Cloud Pak for Data System.

  • 1 Day SPVC

    This offering provides analysts with an introduction to create embedded dashboards in Cloud Pak for Data, as well as dashboards and reports using the Cloud Pak for Data’s Cognos Analytics service

  • 1 Day SPVC

    This offering teaches you how IBM Watson OpenScale on IBM Cloud Pak for Data lets business analysts, data scientists, and developers build monitors for artificial intelligence (AI) models to manage risks. You will understand how to use Watson OpenScale to build monitors for quality, fairness, and drift, and how monitors impact business KPIs. You will also learn how monitoring for unwanted biases and viewing explanations of predictions helps provide business stakeholders confidence in the AI being launched into production. Note: This course contains the same topics as W7069G Watson OpenScale Methodology WBT.

  • 1 Day SPVC

    This offering provides analysts an introduction to the basics of IBM Watson Knowledge Catalog on IBM Cloud Pak for Data. Learners will be introduced to the Cloud Pak for Data product layout and functionality and the role of services within the product. They will learn to access the Watson Knowledge Catalog through the service, and gain skills in creating catalogs, populating them with assets, and then managing the assets in the catalog.

  • 1 Day SPVC

    This course is designed to teach data scientists, Operational Research specialists, and business analysts how to build, run and deploy basic optimization models using IBM Decision Optimization on IBM Cloud Pak for Data. You will learn how to create projects to manage your resources, use the user-friendly Model Builder interface to build, run and visualize models, use different methods to formulate models, including using the Modeling Assistant for formulate your model in natural language. You will also learn how to import and use python notebooks to create your models, and how to deploy the solution to end users within Cloud Pak for Data.

  • 1 Day SPVC

    IBM SPSS Modeler is a premium service for IBM Cloud Pak for Data V3.0.x This 6X334G: IBM SPSS Modeler for IBM Cloud Pak for Data v3.x WBT course reviews the basics of how to import, explore, and prepare data, and introduces the student to machine learning models with SPSS Modeler for Cloud Pak for Data.

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