As an educator and data scientist, Kubeflow gets your labs started fairly quickly

Posted by John Morada on Apr 12, 2020 6:18:00 PM

A recent search on Indeed.com shows an open request for data scientists at approximately 3,600 job postings. But being a data scientist doesn't mean needing to be an Ops engineer. There is a difference:

  • Data Scientist - as widely defined, is an individual with the primary role of sourcing data to be used in algorithmic and statistical analysis to identify trends, insights and other relevant information
  • Ops Engineer - aka Application Operations Engineer, is pragmatically the technical staff charged with the optimization, maintenance, monitoring and governance of in-production business systems.
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Topics: AI, DevOps Automation, Machine Generated Code, Machine Learning, Higher Education, Data Science

A case for machine-learning infrastructure automation to keep Higher Ed competitive

Posted by John Mathon on Mar 10, 2019 6:00:00 AM

Every school’s goal is to give students an advantage in the professional world. No matter what subject they teach, university professors squeeze as much information as possible into a short semester to create intellectual value. For computer science, this is most obvious in the global race for artificial intelligence (AI) talent. According to Forbes, “The countries pushing AI forward have ready access to qualified professionals. They have also developed university programs and AI curriculum to develop more talent. When it comes to emerging technologies, intellectual capital is a huge strategic advantage.”

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Topics: AI, CTO, DevOps Automation, Machine Generated Code, Machine Learning, Higher Education

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