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Machine Humanity: How the Machine Learning of Today is Driving the Artificial Intelligence of Tomorrow

Machine learning is hot and for good reason.

The components — big data, computing power, analytical methods — are in place, and compelling applications are multiplying.

To explore the opportunities, challenges, and success factors of machine learning today and tomorrow, IIA spoke with Andrew Pease, Principal Business Solutions Manager, Global Technology Practice at SAS Institute and Josefin Rosén, Principal Advisor Analytics, Nordic Government at SAS Institute.

Read more about how the Machine Learning of today is driving the Artificial Intelligence of tomorrow.

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