IBM Cloud Pak for Data

Formerly IBM Cloud Private for Data

It is a great tool to enable teams from Engineering, Product Management, and QA to perform complex data analysis on their own. It is capable of integrating data from disparate data sources while being fast enough to support interactive analysis at a terabyte scale. The platform is very helpful for machine learning and data science use cases.

Cost Savings of IBM Cloud Pak for Data on Red Hat OpenShift and The platform upgrade does not complete when the control plane and the scheduling service are upgraded concurrently

IBM Cloud Pak for Data with Netezza is well suited for clients who require fast, economical analytics processing. It is not designed to be used as a transactional processing environment. For example, a large customer is using it during the point of sale process. That makes little sense in that business case. However, to take analysis to market faster, it excels well in that space.

IBM Cloud Pak for Data is the most appropriate for companies that need to incorporate data analysis from hybrid and multi-cloud environments, IBM Cloud Pak for Data is a bit difficult to use but this is not a problem that cannot be solved; it's much more precise and reliable and you can always generate reports without problems, it is fast and has never failed. It is a centralized and fast software, it is capable of performing analyzes from multiple sources of information and has never failed.

It is a good option to grow your business, the implementation is very easy, you do not need to be an expert to use it and it has an excellent data integration service in different clouds simultaneously; it will also save you money through automation. Everything will be faster without errors to regret. Data privacy is also another feature that makes IBM the best of data analytics software.

Its simplicity and secure features for all our data from both our clients and organization is great. I love the storage is ample and secure. Its a wonderful tool for our data supporting the raising output by reducing repetitive tasks and improving our services and operational efficiencies. The support has been top-notch and supportive.

I like how easy is with data analytics for IBM Cloud to build in CI/CD and Jenkins pipeline. It runs on privately hosted cloud which is a good solution for IBM Servers hence has better performance compared to on-premise installation running on Oracle. The support is great and supportive always.

Unlike others analytics tool IBM Cloud Pak for Data provides out-of-the-box privacy, model interpretability and fairness monitoring, along with automatic explanation of data and models written in business language. It's a great tool that all business should emulate. Great user experience because of every feature is functional and improved constantly.

I like the multi-cloud storage option with no limit to storing data. Large-scale data management across multiple enchantments. IBM Cloud Pak for Data is very flexible it runs anywhere, connect security openly, installs easily in any environment; on-premises, private cloud or even public cloud. I also like how this tool simplifies development of cloud-native apps with open-source standards, common services, and integrated DevOps toolset. Saves more money and time. And improves productivity by intelligently automating workflows and decisions.

If you need connect multiple data source , ingest data and run AI /ML algorithm, IBM Cloud Pak for Data is very good solution , specially industry like Retail, Utility etc which are data intensive and need to handle both structured and unstructured data . Cloud storage option also significantly reduce TCO and need for data duplication. Usecase should consider what are the data source and how many out of the box integration solution is available , need data lineage like functionality.

IBM Cloud Pak for Data is well suited for organisations that are moving to cloud and have complex data, analytics and data science requirements all within a single platform. Clients that want to deal with all these requirements along side data catalogue, data governance & data virtualisation will be pleased they invested in this platform

IBM Cloud Pak for data is one of the best ways through which a business can infuse Artificial Intelligence across their organization. One of the things that IBM cloud does well is the data privacy and security that it offers. Since most of our data is sensitive, IBM's privacy framework helps us secure it. Additionally, scaling data-related processes and queries is super easy with its end-to-end AI lifecycle.

IBM Cloud Pak for Data has played a huge role in automating our end to end AI lifecycles in the network dimension. It gives us an extensive view of data across diverse data sources for the routers and switches at any moment without needing to migrate to a central repository. The platform has at large made our data management across multiple clouds much easier.