Also categorized in Big Data and Analytics:
The emerging Darwinian approach to analytics and augmented intelligence
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Leveraging the power of scalable machine learning

In today’s digitally driven world, enterprises need to find ways to extract valuable insights from huge amounts of data. To make sense of these data assets, enterprises need automated tools that continually analyze data and generate information and insights that business leaders can use to keep the organization competitive. That’s the idea behind machine learning. Scalable machine learning, also known as distributed machine learning, refers to algorithms and infrastructure that scale out to capture insights from huge amounts of data.