Deliver Machine Learning In Healthcare

Pure Storage solutions drive the machine learning and AI tools that are redefining healthcare IT and economics.

SEE YOU AT RSNA 2018

NOV 25-30

MCCORMICK PLACE IN CHICAGO
BOOTH #6070 IN THE MACHINE LEARNING PAVILION

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.

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.

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.




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“Data is the fuel driving the AI revolution. With access to one of the world’s largest tumor pathology archives, we needed the most advanced deep learning infrastructure to quickly turn massive amounts of data to clinically-validated AI applications. That’s when we turned to NVIDIA DGX-1 and Pure Storage FlashBlade.”
Thomas Fuchs, Founder, Chief Science Officer
PAIGE.AI
PAIGE PAIGE

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