Thursday 8th May, 2014
4:15pm to 5:15pm
Between IBM Watson's victory against Ken Jennings at Jeopardy, Google’s and Facebook's introduction of deep learning algorithms for speech and vision recognition in their consumer devices and applications, and the current hiring and buying binge around everything and everybody related to machine learning, there is an emerging feeling in the software industry that AI is finally on the brink of its big breakthrough: cognitive computing is about to change our everyday lives. But the industry is facing new challenges. Developing software that relies on natural language and machine learning requires a new methodology. Testing cognitive systems is more akin to running scientific experiments than to traditional quality control. And running these experiments requires new ways of gathering and treating data. I will describe the new advances in cognitive computing, show that there is substance behind the buzz, and explain the new challenge they bring to software development and architecture.
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