In these uncertain times, where the world finds itself in sheltered conditions, it’s critical that accurate information flow freely between customers, partners, and even competitors. After reading a recent article in Channel Reseller News (of which I am a fan), I found myself very disappointed with an interview with Charles Giancarlo, the CEO of […]
Many SAP customers have started moving their SAP systems to the cloud. By choosing Microsoft Azure with Azure NetApp® Files as the primary storage for their SAP HANA databases, they benefit from superior performance and features. For the first time in cloud environments, they can run multiple-host SAP HANA installations with active standby nodes. […]
Many cancers start with changes so small that no human can detect them, even with current medical imaging technology. However, AI programs can be trained with deep learning to see the very earliest changes in cell structure that typically develop into cancerous cells. Advances in medical imaging technologies, including 3D and 4D capabilities, real-time analytics, […]
Rajeev Jain, of Azure Product Marketing (Data and AI) at Microsoft, was part of the business development team for Azure NetApp® Files, watching it grow from an idea into the game-changing solution it is today. When he sat down to talk to us at Microsoft Ignite 2020, he gave us some insight into how Microsoft […]
Are you knocking up against the limitations of an aging infrastructure, running out of capacity, unable to use modern features because you can’t risk trading off performance? It’s understandable that you’ve postponed, waiting for a long-promised new platform, but now it’s been delayed again. Sure, you’ve had a good run with this vendor, but how […]
Computer vision capabilities are having a significant impact in almost every industry, from autonomous vehicles to AI-assisted medical diagnosis. Training the machine learning (ML) algorithms used for computer vision applications creates an extremely demanding workload, requiring massive quantities of data and significant computing power. To accommodate these workloads, you can use a clustered architecture […]
AI development and production – services from the public cloud, the private cloud or in hybrid mode? More and more companies are launching AI initiatives to exploit previously undreamt-of innovation and optimization opportunities. The technology enables them to process huge data sets at high speed, analyze images, audio and text and thus improve processes […]
44 seconds. Depending on your perspective, 44 seconds can feel like an eternity or seem to speed by in an instant. For example: In 2016, 44 seconds was all Texas A&M needed to put together the biggest last-minute comeback in NCAA Division I history. To Northern Iowa, those last 44 seconds were an eternity. […]
As the senior IT manager leading the engineering team that designs and deploys data storage solutions at NetApp, I know two things: Cloud, DevOps, *aaS (anything as a service) and growing infrastructure technologies such as Kubernetes are changing the way we deliver IT and deploy modern applications. Despite the number of folks who unwittingly […]
NVMe Based Storage Makes the Difference As you probably know, we recently launched a brand new end-to-end NVMe-based storage system, NetApp® AFF A400. I sat down with NetApp Technical Marketing Engineers Chris Lueth and Scott Bell to discuss some technical advantages of the new A400. Key advantages they mentioned include how the new system offers higher performance with more advanced technology, faster host connectivity, and greater flexibility and expandability to future-proof your NetApp investment. What are some […]
In my previous blog, I discussed how simplicity and security have taken top priority with NetApp® Active IQ® Unified Manager 9.7 when it comes to managing ONTAP® systems, including AFF All SAN Arrays. I also covered how we make it simple for automation and infrastructure engineers to handle complex storage management challenges. In today’s […]
When discussing AI projects in healthcare, people usually focus on data. They talk about the availability of “clean,” labeled data to train deep learning models and the need for datasets that represent diverse patient populations. They also discuss the importance of an appropriate infrastructure to support moving those large amounts of training data (including […]
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