Analytics from Development to Production

Since the emergence of big data analytics, some experts have propounded on the need to keep data scientists separate from traditional business intelligence (BI) departments, on the grounds that traditional BI approaches and mindsets may compromise data scientists’ creativity and out-of-the-box thinking. I disagree. Rather

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Analytics at the Edge

When we consider the Internet of Things (IoT) the numbers quickly reach beyond the bounds of human comprehension. The number of devices is set to double from 15 billion in 2015 to 31 billion in 2020 and double again by 2024 according to a report

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Big Data: Utilizing Machine-Learning Capabilities

When Will Big Data Analytics Change Biopharmaceutical and Pharma Manufacturing? Machine learning and pattern recognition algorithms can deliver (predictive/analytic) models—however complex they may need to be—that provide an accurate line-of-site from raw material characteristics, through manufacturing processes and settings, to final product quality, and ultimately

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IoT Analytics And Statistica Deliver Time Compression

Statistica 13.1 features new network analytics capabilities that enable users to combine the power of predictive analytics with human expertise to better detect fraud and understand relationships within complex networks. Advanced analytics platforms, Gartner says, not only make experienced data scientists more productive, but are increasingly

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Getting Smarter About Collective Intelligence

Lately, whenever I hold a whiteboard discussion on collective intelligence, customers, prospects, analysts and even my fellow team members give me their full attention. Now, people have talked about collective intelligence for ages, but I think what drives the point home now more than ever

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