10 Good Reasons to Upgrade to ONTAP 9.3 [Infographic]
Worry Less in the New Year with NetApp Volume Encryption
Simplifying Business Continuity with MetroCluster IP
Manage Your Data in the Most Challenging Environments with ONTAP Select and Vector Data
Why New Zealand’s Largest Internet Auction and Classified Site Chooses StorageGRID Webscale
Software Company Utilizes SnapCenter to Gain 30% Performance Improvement for Databases

4 Steps to Integrate NetApp OnCommand Insight with ServiceNow Configuration…

01/16/2018

NetApp IT has integrated the storage performance data and capacity metrics from NetApp OnCommand Insight (OCI) into a real-time, self-service portal in their Configuration Management Database (CMDB) within ServiceNow. The result has been a fully integrated configuration mapping of assets from business services down to the exact storage volume.   The integration between the NetApp […]

Machine Learning, Deep Learning and Prescriptive Analytics: What’s the Difference?

01/10/2018

Digital transformation is the key imperative in the corporate suite of most forward-thinking enterprises. IDC coined the term Digital Darwinism to reflect the impact of digital transformation on businesses of all sizes and across industries.  According to IDC, organizations are moving away from business as usual and embracing digital transformation to become more competitive.   […]

Accelerate I/O for Your Deep Learning Pipeline

01/03/2018

In the first post in this blog series, I talked about the challenges of operationalizing deep learning and other AI pipelines. These challenges can include I/O performance bottlenecks, as well as issues with moving, copying, and managing growing datasets.   Whether you execute your AI workflow on premises or in the cloud, operational bottlenecks can […]

Is Your IT Infrastructure Ready to Support AI Workflows in…

11/29/2017

Enterprises are eager to take advantage of artificial intelligence (AI) technologies as a means to introduce new services and enhance insights from company data. However, as data science teams move past proof of concept and begin to operationalize deep learning, many are experiencing issues with data management. They may struggle to deliver the necessary performance, […]