Why the right big data and analytics infrastructure is crucial

It’s no longer enough to rely on a sampling of information about your customers. You need to get vital insights into their actual behavior and that requires huge volumes of data to power machine learning and deep learning algorithms. Learn why IDC believes IBM big data infrastructure is the key to successful AI deployments and true, unbiased real-time insights.


Big data without big problems, thanks to storage solutions

Optimizing performance and access for faster time to insight

For true collaboration, you need access to data no matter where it is located or what type it is. IBM Spectrum Scale™ supports big data workloads while managing data at scale and performing analytics in place.

Run big data workloads directly on enterprise storage

With 80% of data unstructured, you need a system that isn't proprietary and can seamlessly extend to the cloud. IBM Elastic Storage® Server is ideal for Hadoop, Spark, and other big data and analytics workloads.

Gain a persistent, scalable storage layer for cloud-based analytics

There are 2.5 quintillion bytes of data created every day—which is why you need IBM Cloud Object Storage, a breakthrough platform for storing large amounts of unstructured data with unmatched efficiency.


The big data servers you need to get insights from your data

Capture insights as they happen

Convert transactional, operational, and other enterprise data into revenue opportunities by running real-time analytics and machine learning on your mainframe.

Reach insights faster

IBM Power Systems™ servers deliver a scalable big data infrastructure to crush data-intensive workloads with ease in cloud or on-premises environments.

Gain insights where data lives

Run big data analytics on the same powerful, secure system where your data resides. IBM LinuxONE™ speeds insights from millions of points of data in a single location.

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Five Think 2019 takeaways

Find out how the enterprises at IBM Think 2019 are getting their data ready for successful AI deployments.

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