Category Archives: Trends

Machine-Learning Identifies Heart Arrhythmia

It might not be long before algorithms routinely save lives—as long as doctors are willing to put ever more trust in machines. A team of researchers at Stanford University, led by Andrew Ng, has shown that a machine-learning model can identify … Continue reading

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Blockchain Reference Architecture and Decision Models

Blockchain technology has the potential to have a major impact on how institutions process transactions and conduct business. Blockchain technology provides a secure transaction ledger database through a decentralized network. It has the potential to reduce operational costs and friction, create … Continue reading

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In a few years there will be no AI startups

Frank Chen: “I believe that in 2 years, no investor is going to be explicitly looking to fund AI-powered startups. Given that nearly all the startups we see these days are dressing themselves in AI clothes (powered by machine learning! … Continue reading

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Google’s “AI-first” Strategy

On May 16 Peter Norvig, Research Director at Google, explained Google’s “AI first” vision in his Quora’s answer:  With information retrieval, anything over 80% recall and precision is pretty good—not every suggestion has to be perfect, since the user can ignore … Continue reading

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Is Data Science Dead?

This new article insists it is. “Data Science is dead. It is quickly getting replaced by stuff great data scientists built. Every big cloud vendor is doing it. Need to do a churn analysis? Done. Need to predict energy efficiency? Done. … Continue reading

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Two Frustrations With the Data Science Industry

On May 13, 2017 Nathan Brixius described his frustrations with data science industry (such as overclassification and overreliance on credentials) starting with this rant: “I don’t give a shit if you call yourself a data scientist, an analyst, a machine learning practitioner, … Continue reading

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NoOps vs DevOps

In 2011 Mike Gualtieri of Forrester Research coined the term NoOps in his controversial blog post “I don’t want DevOps. I want NoOps.” In particular, Gualtieri said: “Developers should look to spend more of their time getting closer to the business, not … Continue reading

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