How can
we apply machine intelligence that's more attractive to newer generations of consumers who are increasingly comfortable with the technology?
Not exact matches
AI is the broadest term,
applying to any technique that enables computers to mimic human
intelligence, using logic, if - then rules, decision trees, and
machine learning (including deep learning).
Marble's cloud - based security client application integrates real - time
intelligence derived from
machine data, as well as mobile user and device attributes like location, installed apps and network connection data, to
apply dynamic risk scores to each device.
I'm getting pitched new deals now that aren't about high frequency traders... but more about
applying machine learning and Artificial
Intelligence to algorithmic trading.
Karri's view is «
Applying latest
machine learning and artificial
intelligence techniques to customer data (external & internal) will help extract the necessary insights to facilitate highly personalized, relevant & timely engagement.»
Gajos, a computer scientist, is interested in human - computer interaction, artificial
intelligence and
applied machine learning.
Significant prediction was also achieved with a
machine learning approach, i.e., support vector regression with nested cross-validation
applied to the whole sample (correlation between predicted and actual
intelligence scores: r =.28).
ThoughtRiver: Legal IT Insider has written a number of times about ThoughtRiver, which was founded by Taylor Vinters partner Tim Pullen and
applies machine learning to underpin a sophisticated contract risk and
intelligence tool.
Surden frames this
machine learning process as an «outcome - oriented view of
intelligence» and sees a lot of potential for
applying these types of techniques in legal practice.
Unlike natural
intelligence utilized by humans, artificial
intelligence is
applied when a
machine mimics cognitive functions, such as problem - solving.