Behavioural Biometrics, IoT and AI

Behavioural Biometrics, #IoT and #AI #abdsc

  • Biometrics is defined as the science of establishing the identity of an individual based on physical, chemical or behavioural attributes of the person.
  • To discuss these issues, please join a new meetup group in London Behavioural Biometrics IoT and AI – – While Physical Biometric techniques (like fingerprint recognition, IRIS scans etc) are well established, Behavioural biometrics systems are still emerging.
  • According to the IBIA White paper, Behavioural biometrics provides a new generation of user security solutions that  identify individuals  based on the  unique way they interact with computer devices  like smartphones, tablets or mouse-screen-and-keyboard.
  • The authors also present a generalized algorithm for implementing behavioural biometric with the following steps: – – So, with this background, what is the relationship between Behavioural biometrics, IoT and AI?
  • To discuss these issues, please join a new meetup group in London  Behavioural Biometrics IoT and AI – – Ajit Jaokar conducts a course at Oxford University on Data Science for Internet of Things.

Background
Biometrics is defined as the science of establishing the identity of an individual based on physical, chemical or behavioural attributes of the per…
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AI is revolutionizing neuromarketing

AI is revolutionizing neuromarketing on @venturebeat  #INBOUND17 #ai #ml

  • In recent years, AI has offered a huge boost to neuromarketing — the science of reading consumers’ minds to gauge their reactions to marketing stimuli.
  • When combined with AI-based facial recognition, biometric insights can offer even more accurate data about consumers’ responses to marketing messaging.
  • IBM’s Watson — the company’s computer system that answers questions delivered in natural language — doesn’t use biometric data to gauge the excitement at an event.
  • What makes these methods more than merely interesting is the fact that they provide the means to obtain data about consumers’ emotional reactions in real time and adjust marketing messages accordingly.
  • Once AI is fully adopted in neuromarketing processes, marketers will have the ability to call on consumers to crowdsource their marketing campaigns without the fear of collecting unreliable data.

An unfortunate fact about humanity is that people lie. While this is a chronic issue for human relations, it’s one that may be less of an issue for marketers of the future, thanks to non-human intervention.
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