Cloud Pak for Data

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  • 1.  Improve Data Quality with IBM Data and AI Platform

    Posted Fri March 03, 2023 02:40 PM
    Edited by NICK PLOWDEN Tue March 07, 2023 10:12 AM

    Improve Data Quality with IBM Data and AI Platform

    Improving data quality for an organization's data consumers is a task that requires collaboration of different teams. In this session you will learn how IBM products can help you improve data quality by implementing data observability, monitoring data at rest, and automating resolution of data quality issues.

    Date: March 8th, noon - 12:30 EST

    Registration: https://www.ibm.com/events/reg/flow/ibm/ur3rrlmb/landing/page/landing

    The event url is: https://ibm.webex.com/join/elowery

    AGENDA 



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    NICKOLUS PLOWDEN

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  • 2.  RE: Improve Data Quality with IBM Data and AI Platform

    Posted Mon March 06, 2023 09:57 AM

    Hello, 

    For which day(s) is this link available ?

    Oana



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    Oana Turbatu
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  • 3.  RE: Improve Data Quality with IBM Data and AI Platform

    Posted Tue March 07, 2023 05:39 AM

    When it will be, the date, and what is the time zone? 



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    Diogo Cezari
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  • 4.  RE: Improve Data Quality with IBM Data and AI Platform

    Posted Wed May 17, 2023 06:54 PM

    What does the improvisation of data quality and AI have in common?  They both work comprehensively to modernize your data and workflow.

    The first question to ask is how does your business collect, organize,, and analyzes organizational data, and how AI infusion is carried out.  Improvisation commences with knowing how to manage data; especially in working with DataOps, governance, business analytics, and automating AI processes.

    So, how does a business benefit?  1)  First, you have to provision the right architecture to execute AI effectively.
    2). Overall, cost savings in the reduction of storage costs, data migration, infrastructure, and consolidating tools for better and effective organization is a huge benefit.

    There are other benefits in the areas of eliminating data silos, automating and governing data and AI lifecycles; operationalizing AI with confidence, and in a transparent and trusting environment.  You can avoid vendor lock-in with IBM products and services; employ agility, run-time anywhere, and deploy in less than 4 hours.  Voila!



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    Yvonne R. McGinnis
    DevOps (hopeful), Systems Administration
    Obama Foundation, Chicago
    Chicago Cato, Illinois
    773-886-5579
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