AI is a game changer for industries today but achieving AI success contains two critical factors to consider — time to value and time to insights. Time to value is the metric that looks at the time it takes to realize the value of a product, solution or offering. Time to insight is a key measure for how long it takes to gain value from use of the product, solution or offering.
AI Goes Mainstream
March 14, 2019 by Leave a Comment
According to a recent Gartner survey, Artificial intelligence (AI) learning has moved from a specialized field into mainstream business use with 37 percent of respondents reporting their enterprises either had deployed AI or would do so shortly. WekaIO’s Barbara Murphy explores the path of artificial intelligence from the fringe to mainstream business practices. Find out what is driving AI growth and adoption.
Accelerate Time to Value and AI Insights
October 25, 2018 by Leave a Comment
In this edition of Industry Perspectives, HPE explores how reducing the cycle time for inferencing helps to accelerate time to market for deep learning and AI insights and solutions.
Driving Business Value: Transforming Financial Services with AI Technologies
January 5, 2018 by Leave a Comment
As the financial industry increasingly realizes the impact of faster analytical insights on overall business strategy, artificial intelligence (AI) techniques like machine learning are permeating nearly every industry. Download the new white paper from HPE and NVIDIA to learn how to transform financial services with AI technologies, as well as drive business value with NVIDIA GPU-accelerated deep learning.
Revolutionizing Healthcare with Artificial Intelligence
November 29, 2017 by Leave a Comment
Artificial intelligence has already had a profound effect on many industries. But for the healthcare sector, this collection of technologies is proving to be nothing short of transformative. Download the new report from HPE that explores how tools like GPUs and deep learning platforms are changing and progressing healthcare.
Virtual GPUs: Accelerate Mobility, Productivity & Security in Healthcare
November 13, 2017 by Leave a Comment
Many hospitals have turned to virtualization to provision high performance, secure virtual workstations using the compute power of a single physical hardware resource. That’s according to a new report from HPE, that explores how virtual GPU technology is helping to modernize healthcare data workloads.
AI is Inspiring the Next Wave of Healthcare Advancement
November 6, 2017 by Leave a Comment
Advancements in artificial intelligence, or AI, are revolutionizing healthcare and leading to breakthrough results in prediction and prevention. A new report from HPE focuses on how tech tools like GPUs and deep learning platforms are changing and advancing the health care industry.
Modernizing Healthcare Workloads with Virtual GPU Technology
November 2, 2017 by Leave a Comment
In the healthcare sector, clinicians are increasingly using mobile devices such as smartphones, tablets, and personal laptops to access patient records and more. Many hospitals have turned to virtualization and virtual GPU technology to offer greater mobility, security, and IT manageability. Download the report from HPE that explores how virtual GPU technology is modernizing healthcare.
Accelerating IT Innovation with Software-Defined HPC Solutions
October 12, 2017 by Leave a Comment
As businesses realize traditional IT will be unable to support future business goals, they are leveraging software-defined technologies to eliminate data center complexity, reduce expenses, and accelerate IT innovation. HPE’s Bill Mannel explores how software-defined HPC solutions can work to push your business forward.
Identifying Health Risks Using Pattern Recognition and AI
September 12, 2017 by Leave a Comment
Physicians are increasingly using AI technologies to treat patients with superhuman speed and performance, and predictive analytics will be key to delivering more effective, proactive, and quality care. Stephen Wheat, Director of HPC Pursuits at Hewlett Packard Enterprise, explores how we can identify health risks using pattern recognition and AI.
