ESTIMATED 2017 REVENUE
EARLY INTEREST IN AI
Facebook introduced Photo
Tag Suggest in 2010, which employs
facial recognition to identify the
people in users’ uploaded images.
The better it can replicate—and
exceed—human senses such
as vision and hearing, the better it
can understand and serve users.
“Now you can put a creative
message out there, and AI can help
you figure out who will be most
interested,” CEO Mark Zuckerberg
said during his July earnings call. “A
lot of the time you don’t even need
to target now because AI can do it
more precisely and better than we
Natural language processing
startup Ozlo, earlier this year. Its
tech is expected to bolster Facebook Messenger and its chatbots.
The company announced in
August that it had switched to
using AI to handle all of its translation services, and it’s now processing 4. 5 billion requests daily.
WHY I T IS AHEAD
While the company’s tangible applications tend to be less fantastical
than those of its rivals, when applied
across more than 2 billion users,
they’re as transformative as any.
objects in images
humans can, which
are free to tinker with the algorithmically generated recommendations, and they do. “What
we’ve always stressed is that our brewers are in control,” says Faivre. But the company’s use
of AI to increase production is critical to its future: The additional sales are helping to fund
the construction of a new brewery in Roanoke, Virginia, which will give Deschutes a national
footprint for the first time.
PIGGYBACK IF YOU CAN
The fact that tech giants are turning their own in-house AI into on-demand services is a boon
for organizations that are tight on resources. Chris Adzima, for example, a senior information-systems analyst for the sheriff’s office in Washington County, Oregon, became intrigued last
year by a new Amazon Web Services offering called Rekognition, which includes the ability
to recognize faces. The county’s trove of hundreds of thousands of booking photos taken at
the time of arrests has become so overwhelming that even filtering a search by age, gender, or
race often doesn’t meaningfully narrow things down. That limits its usefulness when police
officers need to identify a person of interest, such as a shoplifter caught on camera. “I am not
a data scientist, nor do I have any idea how facial recognition or artificial intelligence works,”
Adzima cheerfully admits. Within a couple of months, however, he was able to fashion a system
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*As of September 2017