BEYOND THE HYPE: DAILY USES OF ARTIFICIAL INTELLIGENCE
INTELLIGENT PERSONAL ASSISTANTS
They use location data, user input and a variety of database information to carry out requests from both voice command and text. They're rapidly improving. Google's Duplex takes it a step further, nearly perfectly replicating human voice and conversational navigation.
CUSTOMER SERVICE AUTOMATION
Advances in Natural Language Processing have dramatically improved the quality of call routing software systems. AI has also enabled many companies to use chatbots to assist customers on live chat rather than human customer service agents.
STREAMING RECOMMENDATION
Using Deep Learning algorithms, the software is trained on the data sets created by users and fed into artificial neural networks to identify patterns and create the recommendations that are displayed on the apps that users will most likely want to watch.
SMART HOMES
New thermostats can operate by learning from the data of your daily schedule; what temperature you set it to & when so that it can do this automatically. It also includes the ability to track your phone location and uses sensors to save energy when no one is at home.
FRAUD PREVENTION
Programs are used to detect changes out of the ordinary in purchase patterns and location, in order to stop fraudulent purchases. Deep learning algorithms are fed huge data sets of fraudulent and non-fraudulent activities to learn the signs & to reply to real-time purchases.
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