Cloud Pak for Data

Cloud Pak for Data

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  • 1.  🎟 2. Sales Experience

    Posted 10/14/21 01:09 PM
    We know new products, and even existing projects, pose their challenges and learning curves for users, sellers, and more. 
    🎟 For 1 ticket, give us an example of your ideal path to learning about and purchasing a new product?
    We'd love to see an example of a great learning experience you have come across or that you would like to see.



    #InnovationJam #InnovationJamOct2021


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    Brett Witteck
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    #CloudPakforDataGroup


  • 2.  RE: 🎟 2. Sales Experience

    Posted 10/14/21 01:18 PM
    Great learning experience I have done is to be part of a User Sponsor Program or an Early user sposnsor Programs, think you learn much more about a product that way. It was much useful for us. It helped us understand the possibility the product could have and having a one-to-one channel with development helps understand better how the product work and development can understand better your needs.
    The use cases we tested where real cases for our environments. 
    Said that hands-on labs are the best learning path in my opinion.
    I

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    Chiara Baldan
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  • 3.  RE: 🎟 2. Sales Experience

    Posted 10/14/21 01:37 PM
    @Chiara Baldan One-on-one learning and hands-on experience do have amazing benefits. We love to hear that you've had great experiences with sponsor programs! ​

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    Brett Witteck
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    Original Message


  • 4.  RE: 🎟 2. Sales Experience

    Posted 10/14/21 01:37 PM
    I love that, Chiara! We really hope that these programs provide value to you as much as your participation provides value to us!

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    Rachel Miles Sijacic
    Sign up for the User Experience Program: ibm.biz/userexperience
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    Original Message


  • 5.  RE: 🎟 2. Sales Experience

    Posted 10/14/21 01:31 PM
    An end-end demo of CP4D taking a user through the experience of collecting, organizing, analyzing, and infusing AI.  I see lot's of fragmented demos and
    articles but have yet to find a single demo/video that highlights the AI ladder experience.

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    Tom Kochie
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  • 6.  RE: 🎟 2. Sales Experience

    Posted 10/14/21 01:35 PM
    @Tom Kochie that is a great idea! Would you want it to be in one sitting or how long would you want an experience like that to take? ​

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    Brett Witteck
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    Original Message


  • 7.  RE: 🎟 2. Sales Experience

    Posted 10/14/21 03:47 PM
    There are so many features/capabilities within CP4D but a basic end-end demo of how to:
    1. Configuration (workflow, permissions, definition of Classifications, ...)
    2. Create categories
    3. Describing and mapping business terms
    4. Perform MetaData Import and/or Data Discovery
    5. Perform profiling and evaluate data quality
    6. Define Data Classes and Repeat Profiling
    7. Describe the reference data and add data classes
    8. Document policies
    9. Creating rules
    10. Deploying DQ Rules and Data Protection Rules, Automation Rules
    11. Publish the curated data to catalog


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    Tom Kochie
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    Original Message


  • 8.  RE: 🎟 2. Sales Experience

    Posted 10/14/21 04:30 PM

    Hi @Tom Kochie, we recently organized our videos in the Video library page in the documentation.  You might find some useful videos there.  If you try the ModelOps use case video, you can see the basic steps and tools for the end-to-end AI lifecycle use case.  It's probably more high-level than you want, but some screen interactions are shown for the various services involved in the lifecycle. 

    We continue to work on more videos, so we appreciate your feedback.



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    Shannon Rouiller
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    Original Message


  • 9.  RE: 🎟 2. Sales Experience

    Posted 10/14/21 05:16 PM
    Thanks Shannon. The ModelOps video is the high level I was looking for but it's missing a key piece on the Organize step of the AI ladder which includes defining and assigning governance artifacts and data quality curation. This is where my client (and most for that matter) start and spend the most time which is getting data ready for Analytics.

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    Tom Kochie
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    Original Message


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