Predictive healthcare with advanced analytics | Fuzzy Logix

Over 25 million children and adults in the United States suffer from diabetes. And nearly three times that number, 79 million people, are at risk of becoming diabetic, a condition known as prediabetes.1 In other words, nearly one in three Americans has or is at risk of developing diabetes.

It’s a staggering number with an equally staggering price tag. In 2012, diabetes cost the United States a combined $245 billion in medical costs ($176 billion) and lost work..

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Accurately demand forecast with analytics | Fuzzy Logix

Supply chain for fresh foods is a problem at a razor edge. Under Supply and you don't sell. Over Supply and the lettuce goes stale and you have push off the shelf at a heavy discount. Remember, Farm to the table often results in 34% wastage.

Tesco, UK's leading retailer, decided to tackle this problem head on by deciding to forecast the right quantity of each product (5000 SKUs) down to each store (35..

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How P&G Uses Big Data To Turn Diapers Into Insights

P&G want to become the most technologically enabled business in the world. Their objective is to be digitally connected to all of their retailers and consumers, to see at any moment any product as it moves through a manufacturing line somewhere in the world and to be able to track those pr..

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The Rise of Machine Learning – Most Frequent Use Cases

“Machine learning gives computers the ability to learn without being explicitly programmed so that they can create algorithms that can learn from and make predictions on data.” — Arthur Samuel

Machine learning has made huge progress in recent years, and its capabilities have been incorporated into many types of software and platforms, enabling professionals to take advantage of them without knowing how they work. This is a time of monumental change in computing, main..

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Analysing Big Data analytics – Challenges & Solutions

In 2008, all the systems in the world generated less than 1 billion terabytes of data.  In 2020 it is estimated that 44 billion terabytes will be generated and 260 billion terabytes of data will be stored. That’s a lot of data, but the challenge is not how to store the data; it’s how to use the data. 

Companies will struggle to leverage analytics using traditional approaches.  Too much data, too many systems, not enough processing power (in legacy platforms) and too few ..

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