New & Notable
AI infrastructure News
March 21, 2017
Hoping to play catch-up with its web services archrivals, IBM has rolled out a raft of products and services fueled by AI and open source.
July 20, 2016
AI systems are generating huge hype right now, which makes it imperative for businesses to understand how the technology can be deployed most effectively.
January 25, 2016
The Blazegraph database runs on graphics processing units to speed graph traversals. Machine learning in the form of Google TensorFlow is also a GPU target.
March 10, 2015
Machine learning techniques are far from new. What is new, however, is the number of parallelized data processing platforms available for applications of big data.
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AI storage planning is similar to the storage planning you're used to: Consider capacity, IOPS and reliability requirements for source data and the application's database. Continue Reading
As enterprise interest grows, major cloud providers continue to unveil machine learning and AI services. See how much you know about their offerings with this brief quiz. Continue Reading
AI washing is a marketing effort designed to associate brands and products with artificial intelligence, even though the connection may be tenuous or non-existent. Continue Reading
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Edge intelligence is the newborn child of edge analytics and machine learning. In this podcast, CTO Simon Crosby explains the tech and discusses AI uses, data breaches and more. Continue Reading
Building an artificial intelligence infrastructure requires a serious look at storage, networking and AI data needs, combined with deliberate and strategic planning. Continue Reading
The promise of enterprise AI is built on old ETL technologies, and it relies on an AI infrastructure effectively integrating and processing loads of data. Continue Reading
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What is a machine learning service and how does it differ from big data applications? And how can our company benefit from AWS Machine Learning? Continue Reading
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For AI applications, the future is now. But implementing artificial intelligence in an enterprise data center presents obstacles for network, storage and compute infrastructures. Continue Reading