Answers to common deep learning challenges

NetApp ONTAP AI

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Deep learning models are finding enterprise use cases everywhere from fraud detection to supply chain optimization. But in order to truly wring the maximum value form your deep learning environment, there are several key challenges to consider, including:

  • Do-it-yourself integrations are complex – and resource intensive
  • Predictable and scalable performance is hard to achieve
  • Disruptions weigh down OpEx and data scientist productivity

Find the answers to these and more deep learning challenges inside this white paper.

Vendor:
Logicalis
Posted:
20 May 2020
Published:
20 May 2020
Format:
PDF
Length:
4 Page(s)
Type:
White Paper
Language:
English
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