Machine learning might sound like something from a far-off future but actually it's already a part of our everyday lives. Here are some surprising examples.

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Haven Life is leveraging MassMutual's historical data to give instant life insurance approvals. Using AI and machine learning to derive new value from old data could become an enterprise staple.

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Machine learning drives digital transformation, and across industries and business processes, this helps delivers data-driven predictions

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The field of machine learning and artificial intelligence is making rapid progress. Many people are starting to ask what a world with intelligent computers will look like. But what is the ratio of hype to real progress? What kinds of problems have been well solved by current machine learning techniques, which ones are close to being solved, and which ones remain exceptionally hard? There isn’t currently a good single place to find the state of the art on well-specified machine learning metrics, let alone the many problems in artificial intelligence that are still so hard that there are no good datasets and benchmarks to keep track of them yet. So we are trying to make one. Today, we’re launching the EFF AI Progress Measurement experiment, and encouraging machine learning researchers to give us feedback and contribute to the effort.

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Organisations can leverage the benefits of machine learning today.

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At the intersection of two challenging computational and technological problems, may lie the key better understanding and manipulating quantum randomness

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