After starting his first business at 19, publishing 16 books within a three-year period and building a successful education enterprise by the time he was 30, serial entrepreneur turned technologist Dale Beaumont says he lives for the future. After successfully launching BRiN, a 24/7 business advisor app in 2016, Beaumont has big ambitions for building bots and benevolence. 

By Joanne Leila Smith

In his keynote address at the I/O 2017 Conference in May, Google CEO Sundar Pinchai talked about the shift from mobile first to AI first approach. This shift requires a sharp reimagining, again, of how existing products can remain relevant in this new paradigm as well as opening up a space on future possibilities.

“Mobile made us reimagine every product we are working on. we had to take into account that the user interaction model had fundamentally changed, with multi touch, location, identity, payments and so on. Simarily, in an AI first world, we are rethinking all of our products and applying machine learning and AI to solve user problems and we are doing this across all of our products…just like with every platform shift, how users interact with computing changes. Mobile brought multi touch. We evolved beyond keyboard and mouse. Simarily, we now have voice and vision, as two new modalities for computing. Humans are interacting with computing in more natural and immersive ways. Let’s start with voice. We have been using voice across many of our products. That’s because computers are getting much better at understanding speech. We have had significant breakthroughs but the pace, even since last year, has been pretty amazing to see. Our word error rate continues to improve, even in very noisy environments,” says Pichai.

Indeed, Google’s speech recognition word error rate is improving drastically; consider 8.5 percent in July 2016 to 4.9 percent in June 2017. Google’s achievement is very significant. Only a few months earlier, in March 2017, IBM announced that it achieved a new industry record in speech recognition, with a 5.5 percent word error rate, claiming to have reached human parity, however, IBM researchers argue that human parity would actually be 5.1 percent. Regardless, Google’s claim to 4.9 percent, below human parity, is plenty food for thought.

According to University of Montreal’s Institute for Learning Algorithms Lab Leader Yoshua Bengio, reaching human-level performance in AI ta

Dale Beaumont, Joanne Leila Smith, INDVSTRVS, Busines Blueprint, BRiN, voice recognition software

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After starting his first business at 19, publishing 16 books within a three-year period and building a successful education enterprise by the time he was 30, serial entrepreneur turned technologist Dale Beaumont says he lives for the future. After successfully launching BRiN, a 24/7 business advisor app in 2016, Beaumont has big ambitions...


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