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insideBIGDATA Guide to Data Platforms for Artificial Intelligence and Deep Learning

With AI and DL, storage is cornerstone to handling the deluge of data constantly generated in today’s hyperconnected world. It is a vehicle that captures and shares data to create business value. In this technology guide, insideBIGDATA Guide to Data Platforms for Artificial Intelligence and Deep Learning, we’ll see how current implementations for AI and DL applications can be deployed using new storage architectures and protocols specifically designed to deliver data with high-throughput, low-latency and maximum concurrency.

insideBIGDATA Guide to Data Platforms for Artificial Intelligence and Deep Learning

This insideBIGDATA technology guide explores how current implementations for AI and DL applications can be deployed using new storage architectures and protocols specifically designed to deliver data with high-throughput, low-latency and maximum concurrency.

Accelerate Time to Value and AI Insights

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. 

Best of arXiv.org for AI, Machine Learning, and Deep Learning – September 2018

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

The insideBIGDATA IMPACT 50 List for Q4 2018

The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by the way they’re impacting the enterprise through leading edge products and services. We’re happy to publish this evolving list of the industry’s most impactful companies!

An Introduction to Deep Learning and Neural Networks

In this contributed article, Agile SEO technical writer and editor Limor Wainstein outlines how deep learning, neural networks, and machine learning are not interchangeable terms. This article helps to clarify the definitions for you with an introduction to deep learning and neural networks.

MathWorks Expands Deep Learning Capabilities in Release 2018b of the MATLAB and Simulink Product Families

MathWorks introduced Release 2018b of MATLAB and Simulink. The release contains significant enhancements for deep learning, along with new capabilities and bug fixes across the product families. The new Deep Learning Toolbox, which replaces Neural Network Toolbox, provides engineers and scientists with a framework for designing and implementing deep neural networks.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – August 2018

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

“Above the Trend Line” – Your Industry Rumor Central for 8/20/2018

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – July 2018

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.