Because of the volume, level of detail, and amount of noise in external big data, machine learning techniques will be required close to the data.

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Applications that use big data require machine learning to work to their highest potential.

FORBES: The Man-Machine Framework: How to Build Machine-Learning Applications the Right Way

And with advances in big data, he sees that as a possibility - he compares the management of big data combined with machine learning with the shipping container revolution in transportation.

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Jeff Hawkins, Numenta co-founder, and Michael Chui, a principal at the McKinsey Global Institute will discuss on Wednesday evening an alternative approach to big data, using brain-inspired machine learning technology and a cloud-based service called Grok that recognizes complex patterns from data streams and generates actionable predictions in real time.

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It will use machine learning methods and big data analytics and data mining tools.

FORBES: Big Data News of the Week

Ford is looking at sensors, machine learning, and big data as the future.

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Second, machine learning, rather than big data.

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Systems based on machine learning filter out noise in big data or high resolution models by scanning for patterns that humans would like to find but cannot.

FORBES: The Man-Machine Framework: How to Build Machine-Learning Applications the Right Way