Artificial intelligence in the real world: What can it actually do?

What are the limits of AI? And how do you go from managing data points to injecting AI in the enterprise?

AI is mainstream these days. The attention it gets and the feelings it provokes cover the whole gamut: from hands-on technical to business, from social science to pop culture, and from pragmatism to awe and bewilderment. Data and analytics are a prerequisite and an enabler for AI, and the boundaries between the two are getting increasingly blurred.

Many people and organizations from different backgrounds and with different goals are exploring these boundaries, and we’ve had the chance to converse with a couple of prominent figures in analytics and AI who share their insights.

Professor Mark Bishop is a lot of things: an academic with numerous publications on AI, the director of TCIDA (Tungsten Centre for Intelligent Data Analytics), and a thinker with his own view on why there are impenetrable barriers between deep minds and real minds.

In short, Bishop argues that AI cannot become sentient, because computers don’t understand semantics, lack mathematical insight, and cannot experience phenomenal sensation — based on his own “Dancing with Pixies” reductium.

Read the full article on ZDNet

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