i3 - September/October 2019 - 32

Can Computers
Outperform Doctors?
The Answer is Yes
Three years ago, an article in the New
England Journal of Medicine predicted
that machine learning would eventually replace the work of certain medical professionals because it "will soon
exceed human accuracy." The proposal was among the earliest to suggest that AI-powered technology
could realistically change the way we
think about health care and its specialists - namely radiologists.
In a study published by Nature
Medicine in May, a Google algorithm
outperformed six radiologists who
were looking for signs of lung cancer.
The algorithm used more than 42,000
scans from a clinical trial to detect 5%
more cancer missed by humans. The
technology also reduced false positives
- a common problem when scanning
for lung cancer - by 11%.
What makes the technology so promising in medicine specifically is AI's ability to identify patterns and anomalies
faster and more accurately than a
human. If you consider the number of
scans that must be reviewed each day
in a big city hospital, for example, the
outcomes can add up quickly.
Plus, AI-aided technology isn't limited
to cancer screenings by any means. It's
already being used to detect everything
from genetic diseases in children to neurodegenerative and rare hereditary diseases. And just last year, the FDA
approved OsteoDetect, an AI tool from
Imagen in New York City that can help
detect fractures. We're also likely to see
more from Aidoc, a company in Israel
that's creating solutions to detect spinal
injuries sooner. AI is just on the cusp of
massively improving our world.
32

SEPTEMBER/OCTOBER 2019

i3_0919_FEATURE_PowerOfAI.indd 32

for a chance to win tickets to an exclusive event. "Of the people that responded to our
prompt, 49% answered all three questions and 28% clicked through to our client's
website. With these learnings, we used the data to inform creative decisions and
conceptualize more engaging interactions for consumers in the following year."
Mineo expects AI applications will continue to be used to deliver privacy-protected
information about potential audiences, as well as insights into how content and advertising are ultimately being received by audiences. "AI is already extremely influential,"
he says, "and the 2020s should be the decade it becomes more visible."
In fact, according to Gartner, startups will actually surpass tech giants like Google,
IBM and Microsoft, in driving the AI economy. That economy is expected to grow
to $7.3 billion in overall global spending by 2022, reports Juniper Research.
The sheer rate of investment into AI is staggering. According to a MoneyTree
Report by PwC, AI startups in the U.S. raised a record $9.33 billion in 2018, which
is almost 10% of total venture capital investments from the year before.
The investment has led to marked advances. For example, AI is revolutionizing
retail, and promises even greater transformations in health care and education
that will aid with diagnoses and treatments, lesson plans and testing. In AI-driven
automation, growth also means more intelligence from data via connected devices,
social media and, well, the list is endless.

"THE SHEER RATE OF INVESTMENT INTO AI IS STAGGERING.
ACCORDING TO A MONEYTREE REPORT BY PWC, AI STARTUPS IN
THE U.S. RAISED A RECORD $9.33 BILLION IN 2018."
At Chatterblast, the increase in demand for AI-driven technology is palpable. "I've
seen steady client interest growth in the past two years," says Mineo, "with more trying
to find out how they can grow their business without spending a ton on developing
sales teams or adding administrative assistants. AI technology, like bots on social, voice
assistants like Siri and Alexa, and insight machines like IBM's Watson, can harness
the infinitely growing pool of consumer data and help businesses of all sizes scale and
succeed. Mom and Pop pizza shops can have people order food without lifting a finger.
These frictionless enhancements are only limited by how much a business can dream."

FUNDAMENTAL SHIFTS ACROSS INDUSTRIES

CTA recently launched its first AI standardization effort, exploring the definitions
and characteristics of the technology by addressing the key concepts and terms (often
misunderstood) associated with AI, including machine learning, natural language
processing, model bias, trustworthiness and explainable AI. It may sound dry to the
novice, but by outlining what the industry already knows about the technology, CTA
has pinpointed a few areas that are expected to flourish, among consumers.
For example, in CTA's AI Consumer Sentiments survey from 2018, U.S. consumers
were asked to identify how they expect to use AI in the next few years. From smart
home applications, such as real-time home security, to personal assistants making
appointments and ordering groceries, it turns out that consumers hold high expectations for AI-fueled enhancements that can ultimately add convenience to their daily lives.
Kimberly Nevala, strategic advisor at SAS, a software and analytics provider in
North Carolina, isn't surprised. She predicts the next few years will set the pace for
fundamental shifts in how we communicate and interact thanks to advances in AI.
I T I S I N N O VAT I O N

9/9/19 7:37 PM



i3 - September/October 2019

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