How self-learning computing changes government decision making

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VIDEO: Tom Burton talks with Kerry Purcell, the Managing Director for IBM Australia and New Zealand, about the role of cognitive computing in delivering customer solutions.

Tom: Kerry this question or area of cognitive computing,  I think IBM Watson is your product or solution in that space, what is that and how do agencies think about self-learning cognitive computing?

Kerry: Look I’m going to try to keep it as simple as possible. Watson is as you say it has cognitive computing capabilities. It’s computers that learn. So the more you feed it, the smarter it gets. So the medical institutes, the institutions we’re working with using are feeding more and more data into Watson to allow them to make smarter decisions, more accurately, and at a much faster rate than they were ever been able to do before.

So we’ve talked about here in Australia — it’s public — with Boarder Protection, we’re working with Boarder Protection on trialing, (now) we’re moving from trial basis to a more formal engagement around identifying potential threats and potential areas of risk for Australia Border Protection. Drawing insights again from what we call this unstructured data, from stuff that’s just out there floating around.

Tom: And the point being all done in relatively real time?

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