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Machine learning with Apache Spark

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Overview

Organizations of all kinds need data scientists. Accordingly, as part of its commitment to data science, IBM is making available technology, almost 10 years in incubation, designed to help organizations apply machine learning through Apache Spark. Doing so can bring significant benefits to the analytics industry as companies increasingly make space for machine learning in the enterprise. Learn more about IBM and Spark.

Transcript

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I just park is on fire I like to think the patchy spark as the analytics
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operating system that will drive how every organization is using data in the
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future
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much like Linux it's a foundation upon which application developers to start to
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build applications and organizations to really harness take control over and
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make data available across an organization every organization needs
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data scientist we've made a commitment to do that and we're also contributing
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tremendous technology almost 10 years and incubation and IBM Research around
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system and Mel this is how organizations will apply machine learning with the
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patches for huge impact to analytics and machine learning in the enterprise
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if your data scientist at the Bank today
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you write an algorithm and it may take you 9200 days you do it for one dataset
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but there's something you want to do for other datasets now you've got to do that
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over again so it's another hundred days another hundred days keeps building on
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itself takes a lot of time kind of activity that's not too valuable what
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we're doing with spark is now we're saying you can do that I'll grow them
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one time and you can run anywhere so we're talking about a 90% reduction in
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the time that you spend to go do this not to mention you start to get new
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outcomes at a much faster pace so we're really changing how data can be utilized
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and access to an organization