The Industrial Revolution began in Britain sometime around 1760. It ushered in a period where coal-fired steam engines powered increased mechanization and productivity and transformed a largely agrarian society into a manufacturing one.

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In the time it takes you to read this blog, the average adult human will have made more than 200 decisions, or so it has been claimed. Columbia University research posits a far more modest total of 70 conscious daily decisions. Whatever the actual number, humans make a lot of decisions, and we’ve become highly skilled at it.

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Wastewater overflows and sewerage spills are two of the most common types of water pollution worldwide. And both are extremely bad news.

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By building the enormous network of wireless sensors that forms the IoT, we’re generating more data than ever before. More data promises better decision making – but only if we don’t drown in information first. Proper data management starts by processing information at the edge to filter, refine, and then prioritize what’s sent to the Cloud. AI is the best tool for the job.

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According to research by analyst Aberdeen, the average cost of unplanned equipment downtime is $260,000 per hour. With the average outage lasting four hours and costing in excess of a million dollars, it is little wonder nearly three of every four organizations consider zero unplanned downtime their top priority.

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As a cornerstone of artificial intelligence (AI), machine learning enables smart systems to perform increasingly complex cognitive tasks without requiring explicit instructions. One interesting application of modern machine learning is for high-accuracy gesture detection for portable devices.

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