NetApp HCI Offers a New 2-Node Storage Cluster for a Starting, Scalable Entry Point for Customer Workloads
Fighting Ransomware: Part Two – ONTAP Native (aka Free) Tools for Detecting Ransomware
Quick Continuity Conversations: Infrastructure Insight
Don’t Allow Your IT Refresh to Move at a Donkey’s Pace
Protection Against Ransomware: The FlexPod Solution
NetApp Named Google Cloud Technology Partner of the Year for Infrastructure

Automating MLOps, DevOps, and DataOps for Data Scientists and ML…

June 24, 2020

The unprecedented promise of machine learning (ML) is still unrealized, because data scientists are spending most of their time on non-data-science work. The common practice is that ML development through deployment relies on ad hoc tools, plug-ins, scripts, and a myriad of siloed tools that are impeding organizations, large and small, from streamlining ML development. […]

Prevent Fraud with AI

January 30, 2020

  According to a recent study, credit card fraud in the United States is expected to reach $12 billion in 2020. Rules-based expert systems currently used to catch fraud have become too easy to beat. In addition to combating fraud, financial services institutions are also challenged to make the right credit decisions, improve risk management, […]

NetApp ONTAP AI Is One Of The First Reference Architectures…

October 17, 2019

Assembly and integration of off-the-shelf deep learning (DL) and machine learning (ML) compute, storage, networking, and software components can increase your system’s complexity and lengthen deployment times. As a result, your valuable data science resources are wasted on systems integration work. It’s difficult to achieve predictable and scalable artificial intelligence (AI) performance, and keeping a […]

Data Fuels AI. We Fuel Data. ONTAP AI Validated with…

June 5, 2019

Businesses across nearly every industry are adopting artificial intelligence (AI) to stay competitive, drive growth, and decrease expenses. From self-driving vehicles to genomic medicine, chatbots, and predictive maintenance, the success of AI depends completely on access to large amounts of data that can be used to identify patterns, develop predictive insights, and enable increasingly accurate autonomous systems.   Almost […]