data science

What data scientists can do with better machine learning

Smart companies are finding new ways to squeeze more value out of their massive data storehouses. They’re unlocking insights from their data that build new business models, improve customer experiences and outpace competitors. So where do these business-changing insights come from? Data doesn’t interpret itself. A table of numbers won’t arrange themselves in a pattern […]

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Cloud-based Data Science Experience to accelerate production

In an announcement that coincided with the Spark Summit in San Francisco, IBM unveiled a new Data Science Experience integrated development environment last week. The cloud-based environment uses what IBM Analytics Product Development VP Rob Thomas calls the “analytics operating system” of Apache Spark to help data scientists collaborate with one another to ultimately get […]

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May #cloudchat recap: The rise of the data scientist

Recap of the May 9 #cloudchat Twitter chat.

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Data scientists need a cloud sandbox

If you don't provide your data scientists with scalable modeling platforms, you won't realize the full value of your investment in big data.

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