How Kubernetes extends to machine learning (ML) | Kubernetes - Information Age

This article explores the ways in which Kubernetes enhances the use of machine learning (ML) within the enterprise, emphasiz Aaron Hurst, Founder, Taproot Foundation & Imperative. 

Could Kubernetes be worth considering to bolster your machine learning strategies?
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Machine learning (ML) is becoming a commonly implemented tool for easing the workloads of employees within various areas, from cyber security to customer service. However, this can bring its own drain on resources. A possible solution to this, which can bring additional benefits, is the open source containerisation technology, Kubernetes.

In this article, five experts in the space explore how Kubernetes extends to ML, allowing development teams to get better results. Ajeet Raina, technical marketing manager at Redis Labs, provided five aspects of Kubernetes that can complement ML processes...

Justin Bercich, head of AI at Lucinity, expanded on the notion of accelerated innovation using a combination of Kubernetes and ML, explaining how democratisation can lead to advancement of intelligence.

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Source: Information Age