We are living in the future – it is just unevenly distributed with “an outstanding amount of hype and this anthropomorphization of what [AI] technology can actually provide for us,” observed Hilary Mason, general manager for machine learning at Cloudera, who led a keynote on “AI in the Real World: Today and Tomorrow,” at the recent Open FinTech Forum.
AI has existed as an academic field of research since the mid-1950s, and if the forum had been held 10 years ago, we would have been talking about big data, she said. But, today, we have machine learning and feedback loops that allow systems continue to improve with the introduction of more data.
Machine learning provides a set of techniques that fall under the broad umbrella of data science. AI has returned, from a terminology perspective, Mason said, because of the rise of deep learning, a subset of machine learning techniques based around neural networks that has provided not just more efficient capabilities but the ability to do things we couldn’t do at all five years ago.
Imagine the future
All of this “creates a technical foundation on which we can start to imagine the future,’’ she said.
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