Category Archives: Analytics, data analytics, big data, big data analytics, data on the internet, data analytics meaning

On the Evolution of Computer Power and Computer Intelligence

The picture below is an interesting summary of the general trend in computing over the last 100 years or so (MIPS = Million Instructions Per Second). There is, however, some gap in logic here, and it frequently occurs when projections … Continue reading

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2.5 Minutes Till The End of The World

The Bulletin of the Atomic Scientists has  posted the following on their website: “For the last two years, the minute hand of the Doomsday Clock stayed set at three minutes before the hour, the closest it had been to midnight … Continue reading

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My Next Public Appearance

Not being Elon Musk or Ray Kurzweil, I still have the chance to give public talks from time to time.  I recently came back from my vacation in Japan where I managed to, in addition to relaxing, give three talks … Continue reading

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IoT and Big Data Analytics Synergy

A slide from my talk at Nagoya University from June 23, 2017…  I have 3 talks to give here in Japan, and this one is A Short Introduction to Big Data Analytics, the Internet of Things, and their Synergies: For … Continue reading

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Alchemy IoT’s Cognitive Analytics: Learning Algorithm Update

This is quick update on the earlier post (link) that explained our experiment on testing our learning algorithm that runs on light and temperature signals that are fed from the Arduino device placed in the Alchemy IoT software developers’ room.  It has … Continue reading

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Defining “Cognitive Analytics”

I wrote a couple of posts on this subject recently (link, link) and wanted to elaborate a bit more – this is an exciting subject to think about and work on. Let me start with my own definition of Cognitive … Continue reading

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K-Means Clustering in Action

Clustering is one of the most popular unsupervised advanced analytics technique. Watch this example of a real-time simulation of the K-Means Clustering Algorithm using different values for n (number of points) and k (number of clusters). Read more on this subject … Continue reading

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