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Machine Learning Operations (MLOps)

Machine learning operations is the machine-learning equivalent of DevOps: it solves the problems of implementing machine-learning in production, notably around the technology infrastructure and tooling necessary to deploy machine-learning algorithms and data pipelines reliably and scalably, so as not to destabilize other parts of the stack.

Machine Learning Server

Machine learning faces challenges to scaling at the four main stages of its workflow:

  • ETL (Data pipelines)
  • Algorithm training
  • Inference
  • Monitoring, Management and Updates

The Skymind Intelligence Layer (SKIL) is a machine learning server that solves the problem of serving machine-learning models at scale during the inference phase.

Chris Nicholson

Chris Nicholson is the CEO of Skymind. He previously led communications and recruiting at the Sequoia-backed robo-advisor, FutureAdvisor, which was acquired by BlackRock. In a prior life, Chris spent a decade reporting on tech and finance for The New York Times, Businessweek and Bloomberg, among others.

A bi-weekly digest of AI use cases in the news.