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Deliver Machine Learning in Healthcare
Pure Storage solutions drive the machine learning and AI tools that are redefining healthcare IT and economics.
Pure Answers your data challenge
Integrated care requires high-performance workflows, clinical apps, and advanced data analytics – all powered by machine learning. With unprecedented agility, simplicity, and scale, Pure Data-Centric Architecture is ready to consolidate and speed all your apps even as you add next-gen analytics and AI.
Healthcare Leaders Speak Out On AI
The AI in Healthcare Leadership Survey 2020 shows healthcare organizations are using AI, believe in AI, and are leading the application of AI to clinical care
and business processes.
Reshape the Future of Medical Imaging
Discover the top 7 predictions for machine learning in healthcare and how AI-fueled technology innovations are set to disrupt all aspects of the profession.
Find out how to establish an AI roadmap to benefit from the underlying technologies and remain competitive.
Uncover the trends that will impact the market and reshape the future of medical imaging.
Meet Your AI-ready Infrastructure
Pure Storage and NVIDIA launch an AI-ready infrastructure enabling AI-at-scale for healthcare organizations. It’s fast, simple and future-proof.
Power Your AI Initiatives
Pure Storage all-flash solutions provide a high-performance foundation for modern analytics and deep learning.
Machine Learning for Medical Imaging
Machine learning has shown the potential for helping with fast-rising radiology workloads through machine-assisted image analysis and rapid, broad image access. But widespread adoption requires storage that’s able to keep up at scale.
AI / Deep Learning
AI is powered by massively parallel technologies, like deep learning and GPUs. Legacy storage systems were built on decades-old building blocks, designed in the serial era. Modern storage needs to be architected from the ground-up to be massively parallel for Artificial Intelligence.
Putting AI & Machine Learning to Work in Healthcare
Listen in as Mark Michalski, MD, Executive Director at the MGH & BWH Center for Clinical Data Science (CCDS), details the infrastructure enabling efforts at applying machine learning to healthcare, and the potential for machine learning to become a powerful tool in the hands of clinical professionals in the years to come.
