This article in FindBiometrics reviews recent AI announcements, a few of which involve biometrics, but glosses over how critical machine learning is to behavioral biometrics and multifactor biometrics which is described in detail in “Biometrics: A New Wrinkle Changes the Authentication Landscape” and “Bringing AI into the Enterprise: A Machine Learning Primer.” Also missing from this article is the first mover advantage derived when a solution can gather more training data than competitors. Machine Learning models improve with training and so the Google algorithms responding to search terms get significantly more training data than other search engines based on which results are clicked on. Accuracy drives greater usage which in turn drives more training data. As a result it is critical for companies launching an AI solution understand how it will establish this feedback loop to be successful:
“Artificial intelligence is not a new concept. Sci-fi fans have been well acquainted with its principles since Isaac Asimov started getting books published, and more recently a generation that has grown up on video games has spent countless hours trying to outsmart AI entities.
But in recent years AI has really come to the forefront of consumer electronics with the emergence of voice-controlled virtual assistants like Apple’s Siri and Amazon’s Alexa. These have quickly become prominent user interfaces across a range of devices, and are only becoming more important as consumers seem increasingly intent on leaving typing behind.
Now, the field of AI represents an escalating arms race between a number of high-profile tech companies, with some smaller firms getting in on the action, too. Here’s how:
Major consumer electronics brands are expanding their AI platforms…
Amazon Expands Echo Concept and Enhances Alexa Software
Leaked Image Hints at Bixby Button on Next Year’s Galaxy A-Series Devices
… while Google, a relative newcomer to the field of hardware, is leveraging its AI expertise to get a strong foothold:
Google Banks On A.I. With New Pixel 2 Smartphones
Software Remains Central in New Google Home Devices
Meanwhile, new AI assistant platforms are emerging to fill in niches and gaps:
Go Ask Alice (If You Speak Russian)
Voice-Based AI Assistant Platform Signals Hitachi’s Foray into Machine Learning Race
Nuance Announces Voice-Based AI Assistant for Healthcare Clinicians
Elsewhere, advances in machine vision are seeing a growing convergence between AI and other sophisticated technologies like biometrics:
Sensory to Demo Virtual Bank Teller at FinovateFall 2017
Face ID: What We Know So Far About The iPhone X’s Flagship New Feature
Novetta Cites Expertise in AI, Biometrics, Digital Security in Q3 Contract Win Growth
And all of this excitement has major tech companies investing heavily in the future of AI:
Samsung Amplifies AI R&D with New Montreal Lab
Facebook Making Big Push Into Smart Home, IoT Device Market
Google Web Demo Puts Machine Learning at Users’ Fingertips”
Overview by Tim Sloane, VP, Payments Innovation at Mercator Advisory Group
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