RESEARCH PAPER: Enterprise Machine & Deep Learning With Intelligent Storage

By Patrick Moorhead, Steve McDowell - June 26, 2019

Fueled by data, infrastructure advances, and the ubiquity of machine learning and deep learning (ML/DL) toolkits, artificial Intelligence (AI) solutions are fast becoming a mainstay in the enterprise data center. AI turns data into insights across a broad swath of enterprise verticals as diverse as automotive, healthcare, life sciences, finances, technology, retail, and beyond. Data is now a competitive advantage in industries suchas insurance − where predictive AI removes risks from underwriting, finance − wherereal-time deep-learning recognizes fraud as it happens, and even data centermanagement − where patterns are analyzed to predict failures and scalability issues.

You can download the paper by clicking on the logo below:

Table Of Contents

  • Summary
  • Deep Learning Is Changing The Enterprise
  • Architecting For Deep Learning In The Data Center
  • Data In A Deep Learning Environment
  • Dell EMC: Delivering Storage For Deep Learning
  • Dell EMC: Full Stack Deep Learning
  • Conclusion
  • Figure 1: The Relationship Between AI, ML, and DL
  • Figure 2: Typical Machine Learning / Deep Learning Pipeline
  • Table 1: Examples Of Some Of The Available Ready Solutions And Reference Architectures

Companies Cited

  • Dell EMC
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Patrick founded the firm based on his real-world world technology experiences with the understanding of what he wasn’t getting from analysts and consultants. Ten years later, Patrick is ranked #1 among technology industry analysts in terms of “power” (ARInsights)  in “press citations” (Apollo Research). Moorhead is a contributor at Forbes and frequently appears on CNBC. He is a broad-based analyst covering a wide variety of topics including the cloud, enterprise SaaS, collaboration, client computing, and semiconductors. He has 30 years of experience including 15 years of executive experience at high tech companies (NCR, AT&T, Compaq, now HP, and AMD) leading strategy, product management, product marketing, and corporate marketing, including three industry board appointments.

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