Artificial intelligence (AI) has been slower to take off in the field of pathology than in other areas of medicine. Other than in research settings, the road to fully digitized clinical pathology departments incorporating whole slide imaging (WSI), convolutional neural networks (CNNs), and cost-effective, high-performance computing and data storage is a work in progress. The […]
For the second year in a row, NetApp has won a coveted AI Breakthrough award for the Best Machine Learning Platform with our partner Lenovo. The AI Breakthrough Awards program was founded to recognize artificial intelligence (AI)–related technology innovators, leaders, and visionaries from around the world. All the award nominations for a range of […]
A conversational AI system engages in humanlike dialog, understands context, and provides intelligent responses. Such AI models are often huge and highly complex. With NetApp® ONTAP® AI, powered by NVIDIA DGX systems and NetApp cloud-connected storage systems, massive, state-of-the-art language models can be trained and optimized to run inference rapidly. In conversational AI systems, […]
The NISI Group (NISI) is a medical technology business headquartered in Hong Kong, specializing in the development, manufacture, and sales of innovative surgical and diagnostic products. Its corporate mission is to become a world leader in noninvasive surgical innovations. NISI first used an NVIDIA DGX-1 as a high-performance computing node to help with its […]
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. […]
There is a new IDC report1 that’s a good primer on AI best practices in healthcare, and it identifies NetApp as a provider to emulate. Called “Realize the Transformative Power of AI for Healthcare with NetApp Solutions,” it gives useful background information and explains why organizations need to implement AI now or risk falling behind. […]
Since 2018, NetApp AI has enabled our customers to integrate their data fabric across edge, core, and cloud. Our unified data management supports seamless, cost-effective data movement across the hybrid multicloud environment, and our world-class partner ecosystem provides full technical integrations with AI. We have earned a variety of prestigious AI industry awards and […]
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, […]
With the high complexity and integration costs of off-the-shelf artificial intelligence (AI) and machine learning (ML) solutions, finding a predictable and scalable solution that also minimizes operational expenses for your small to medium-sized business is challenging. NetApp and Lenovo can help you overcome that challenge. We have partnered to deliver an AI and ML […]
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 […]
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, […]
The promise of artificial intelligence (AI) is greater in healthcare than in almost any other industry. From improving patient outcomes and care to expanding the reach of medical expertise and reducing costs, the potential benefits are huge. However, AI efforts in healthcare to date have barely scratched the surface of what will eventually be […]
Mike McNamara