S4D Insights2019-06-21T16:28:36-05:00

Data science is easy; making it work is hard | CIO

Data scientists are smart people. If you get them the data, they can create a model that delivers value where there is value to be had. There is nothing more frustrating to a data scientist than being able to do the math but having neither the data to run it against nor the ability for it to be used.That first [...]

January 28th, 2017|Categories: Science4Data|

Human and Artificial Intelligence May Be Equally Impossible to Understand

Take, for example, an episode recently reported by machine learning researcher Rich Caruana and his colleagues. They described the experiences of a team at the University of Pittsburgh Medical Center who were using machine learning to predict whether pneumonia patients might develop severe complications. The goal was to send patients at low risk for complications to outpatient treatment, preserving hospital [...]

January 28th, 2017|Categories: Science4Data|

Ten Attributes of Serverless Computing Platforms – The New Stack

Serverless Computing or Functions as a Service (FaaS) is gaining momentum. Amazon is fueling the innovation by expanding Lambda to edge devices and content distribution network. IBM, Microsoft, and Google have their own FaaS offerings in the public cloud. There are over half-a-dozen open source serverless projects that are getting the attention of developers. This year, expect to see new [...]

January 27th, 2017|Categories: Science4Data|
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