There’s virtually no major industry modern AI more specifically, “narrow AI,” which performs objective functions using data-trained models and often falls into the categories of deep learning or machine learning hasn’t already affected. That’s especially true in the past few years, as data collection and analysis has ramped up considerably thanks to robust IoT connectivity, the proliferation of connected devices and ever-speedier computer processing.
Transportation: Although it could take a decade or more
to perfect them, autonomous cars will one day ferry us from place to
place.
Manufacturing: AI powered robots work alongside humans to
perform a limited range of tasks like assembly and stacking, and
predictive analysis sensors keep equipment running smoothly.
Healthcare: In the comparatively AI-nascent field of
healthcare, diseases are more quickly and accurately diagnosed, drug
discovery is sped up and streamlined, virtual nursing assistants
monitor patients and big data analysis helps to create a more
personalized patient experience.
Education: Textbooks are digitized with the help of AI,
early-stage virtual tutors assist human instructors and facial
analysis gauges the emotions of students to help determine who’s
struggling or bored and better tailor the experience to their
individual needs.
Media: Journalism is harnessing AI, too, and will continue to
benefit from it. Bloomberg uses Cyborg technology to help make quick
sense of complex financial reports. The Associated Press employs the
natural language abilities of Automated Insights to produce 3,700
earning reports stories per year four times more than in the recent
past.
Customer Service: Last but hardly least, Google is working on
an AI assistant that can place human-like calls to make appointments
at, say, your neighborhood hair salon. In addition to words, the
system understands context and nuance.
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