The private sector’s interest in AI has waxed and waned over the years. Its enthusiasm about the technology’s revolutionary potential has repeatedly been dampened by a lack of both computer
processing power and data with which to train AI systems. But these problems no longer exist.
The volume of material available has exploded – more than 64 zettabytes (64 trillion gigabytes) of data were created last year alone – while processing speeds are faster than the early pioneers of AI could
ever have imagined. So what happened to get us to where we are today?
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