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Advancing the Financial Services Industry Through Machine Learning

As financial institutions look to be empowered through machine learning, they should first acknowledge the benefits, challenges, and considerations involved. Download the new insideHPC guide that is essential reading for anyone involved in the financial services industry, from those who are beginning to explore the potential of machine learning, to those looking to expand and maximize its use. 

An Overview of AI in the HPC Landscape

The demand for performant and scalable AI solutions has stimulated a convergence of science, algorithm development, and affordable technologies to create a software ecosystem designed to support the data scientist. “It is very important to understand that time-to-model and the accuracy of the resulting model are really the only performance metrics that matter when training because the goal is to quickly develop a model that represents the training data with high accuracy.”

insideHPC Special Report: AI-HPC is Happening Now

HPC and the data driven AI communities are converging as they are arguably running the same types of data and compute intensive workloads on HPC hardware, be it on a leadership class supercomputer, small institutional cluster, or in the cloud. Download the insideHPC Special Report, brought to you by Intel, to learn more about AI-HPC and how today’s businesses are using this technology.

Challenges to Managing an HPC Software Stack

The HPC system software stack tends to be complicated, assembled out of a diverse mix of somewhat compatible open source and commercial components. This is the second article in a four-part series that explores using Intel HPC Orchestrator to solve HPC software stack management challenges. Download the full insideHPC Special Report.

Simplifying HPC Software Stack Management

While most of the fundamental HPC system software building blocks are now open source, dealing with the sheer number of components and their inherently complex interdependencies has created a barrier to adoption of HPC for many organizations. This is the first article in a four-part series that explores using Intel HPC Orchestrator to solve HPC software stack management challenges.

insideHPC Special Report: Intel HPC Orchestrator Solves HPC’s Software Challenges

This InsideHPC Special Report explores the challenges of managing open source HPC middleware, and unpacks the unique solution offered by Intel HPC Orchestrator. Intel Orchestrator is the Intel-supported distribution of the OpenHPC stack that has been tested and validated on the most recent hardware. To learn more, download the full white paper.

Launch a Machine Learning Startup

Launch a Machine Learning Startup – In this report, we’ll address everything from how to choose a framework and pick the tools you need to get started, to the questions you’ll be asking yourself, and the benefits of immersing yourself in the machine and deep learning communities. This report also untangles the jargon and explores what these terms actually mean. Download this special report now.

Riding the Wave of Machine Learning and Deep Learning

Artificial intelligence (AI) and machine learning — decades-old technologies that are now electrifying the computing industry — for all intents and purposes, seem to be in the process of transforming corporate America. This article is part of a special insideHPC report that explores trends in machine learning and deep learning.

What Does it Take to Get Started with AI?

We’ll start by providing a handy five-step enterprise AI strategy designed to ensure your early AI deployment projects are a success. This article is part of a special insideHPC report that explores trends in machine learning and deep learning.

Drilling Down into Machine Learning and Deep Learning

Artificial intelligence and machine learning are rising in popularity as the needs of big data call for systems that exceed human capabilities. This article is part of a special insideHPC report that explores trends in machine learning and deep learning.