Which deep learning network is best for you?

In “Big data – a road map for smarter data,” I describe a set of machine learning architectures that will provide advanced capabilities to include image, handwriting, video, and speech recognition, natural language processing and object recognition. There is no perfect deep learning network that…

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Aggregating with Apache Spark

An aggregate in mathematics is defined as a « collective amount, sum, or mass arrived at by adding or putting together all components, elements, or parts of an assemblage or group without implying that the resulting total is whole. » While there are many uses for aggregation…

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The human side of the data revolution

For over a decade, data has been at or near the top of the enterprise agenda. A robust ecosystem has emerged around all aspects of data (collection, management, storage, exploitation and disposition). And yet in my discussions with Global 2000 executives, I find many are…

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Welcome to a world of sensors

Increasingly, we live in a sensor-laden world. Almost every electronic device in our lives has some kind of sensor in it, possibly many. We don’t tend to think of sensors when looking at our phones, refrigerators, cars, airplanes and buildings, but believe me, they’re in…

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With deep learning, the data-rich get richer

The greatest potential for deep learning is in adding business-relevant structure to less-structured, sense-like data — such as images, audio and other sensor data. How quickly does the tone and affect of a support call from a frustrated customer change, broken down by support rep?…

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LinkedIn ramps up its sales tool offering

When Microsoft announced that it was acquiring professional social network LinkedIn, many people gasped at the huge price tag. The fact that Microsoft was engaged in a bidding war against Salesforce for the network helped in that regard, but most people took the perspective that…

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