'Audrey' is an AI Assistant That Allows Users to Teach it Lessons
Michael Hemsworth — January 26, 2017 — Tech
Many users have become accustomed to the digital personal assistants on their smartphone, but 'Audrey' is purported to offer users a different kind of experience. Rather than guessing what users may want, 'Audrey' can be told how to respond to various prompts in order to help expand the capabilities of it for all users.
Incorporating AI technology, 'Audrey' will learn about what you'll want to actually accomplish rather than simply providing a haphazard response. Users can submit cards to the system that can be voted on by other users, which will implement the action based on the number of upvotes it receives.
The 'Audrey' digital personal assistant technology puts a more personalized touch on the technology in order to make it possible to change things rather than deal with problems.
Incorporating AI technology, 'Audrey' will learn about what you'll want to actually accomplish rather than simply providing a haphazard response. Users can submit cards to the system that can be voted on by other users, which will implement the action based on the number of upvotes it receives.
The 'Audrey' digital personal assistant technology puts a more personalized touch on the technology in order to make it possible to change things rather than deal with problems.
Trend Themes
1. Interactive Digital Personal Assistants - By allowing users to teach the AI assistant how to respond, there is an opportunity for more personalized and customized interactions.
2. Crowdsourced AI Learning - The ability for users to submit cards and vote on actions opens up possibilities for collective knowledge and improvement of digital personal assistant capabilities.
3. Adaptive AI Technology - The use of AI in 'Audrey' allows it to learn and adapt to individual user preferences, enabling a more tailored and useful assistant experience.
Industry Implications
1. Artificial Intelligence - There is a disruptive innovation opportunity in developing AI technology that can be taught and learn from user interactions, enhancing the capabilities of digital personal assistants.
2. Mobile Applications - The introduction of interactive and personalized digital personal assistants presents an opportunity for innovation in mobile app development and user experiences.
3. Crowdsourcing - The concept of crowdsourced AI learning can be applied to various industries, opening up possibilities for collective problem-solving and knowledge enhancement.
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