IBM Cloud Pak for Data Pros

MR
Software Consultancyy at a tech services company with 10,001+ employees
The most valuable features of IBM Cloud Pak for Data are the Watson Studio, where we can initiate more groups and write code. Additionally, Watson Machine Learning is available with many other services, such as APIs which you can plug the machine learning models.
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MB
Consultant at Ernst & Young
What I found most helpful in IBM Cloud Pak for Data is containerization, which means it's easy to shift and leave in terms of moving to other clouds. That's an advantage of IBM Cloud Pak for Data.
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PaulSorelli - PeerSpot reviewer
IBM Data & IA Technology Consultant at a tech services company with 10,001+ employees
One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance.
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IBM Cloud Pak for Data Cons

MR
Software Consultancyy at a tech services company with 10,001+ employees
There is a solution that is part of IBM Cloud Pak for Data called Watson OpenScale. It is used to monitor the deployed models for the quality and fairness of the results. This is one area that needs a lot of improvement.
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MB
Consultant at Ernst & Young
One challenge I'm facing with IBM Cloud Pak for Data is native features have been decommissioned, such as XML input and output. Too many changes have been made, and my company has around one hundred thousand mappings, so my team has been putting more effort into alternative ways to do things. Another area for improvement in IBM Cloud Pak for Data is that it's more complicated to shift from on-premise to the cloud. Other vendors provide secure agents that easily connect with your existing setup. Still, with IBM Cloud Pak for Data, you have to perform connection migration steps, upgrade to the latest version, etc., which makes it more complicated, especially as my company has XML-based mappings. Still, the XML input and output capabilities of IBM Cloud Pak for Data have been discontinued, so I'd like IBM to bring that back.
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PaulSorelli - PeerSpot reviewer
IBM Data & IA Technology Consultant at a tech services company with 10,001+ employees
One thing that bugs me is how much infrastructure Cloud Pak requires for the initial deployment. It doesn't allow you to start small. The smallest permitted deployment is too big. It's a huge problem that prevents us from implementing the solution in many scenarios.
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Buyer's Guide
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