Page 25 - Ocean Blue World Summer 2019 Edition

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enormous sets of data have led to rapid advances in machine learning and
perception. Looking ahead, there is no getting around the fact that AI will
play an increasingly critical and intimate role in many aspects of our lives.
Jerry Kaplan, author of Artificial Intelligence: What Everyone Needs to
Know, explains,

“Advances in the intellectual and physical capabilities of machines
will change the way we live, work, play, seek a mate, educate our
young, and care for our elderly. They will also upend our labor
markets, reshuffle our social order, and strain our private and
public institutions.”

Stephen Hawking expressed his reservations about AI in 2014. He wrote,

“One can imagine such technology outsmarting financial markets,
out-inventing human researchers, out-manipulating human leaders,
and developing weapons we cannot even understand. Whereas the
short-term impact of AI depends on who controls it, the long-term
impact depends on whether it can be controlled at all.”
Current systems are far more autonomous than most people realize.
Intelligent machines can learn from their own experience and take actions
not even contemplated by their designers. The widely accepted wisdom that
computers can only do what people program them to do, no longer applies.
Nevertheless, business is bullish in AI. In a 2017 survey, one in five
companies reported they had "…incorporated AI in some offerings
or processes.” Venture investment in machine intelligence in the U.S.
has exceeded $5 billion since 2016. China has greatly accelerated its
government funding for AI, and, given its large supply of data and rapidly
increasing research output, is poised to become an AI superpower.
According to a Harvard Business Review report,
“Machine intelligence’s first useful applications in an industry tend
to use data that previously had lain dormant. Health care is a prime
example. We’re seeing predictive models that run on patient data
and computer vision that diagnoses disease from medical images
and gleans lifesaving insights from genomic data. Next up will be
finance, transportation, and agriculture because of the volume of
data available and their sheer economic value.”
Economists have long wondered why the so-called computing revolution
has failed to deliver productivity gains. AI will finally realize computing’s
promise continued the report,
“The C-suites and boardrooms that recognize that fact first—and
transform their ways of working accordingly—will outrun and
outlast their competitors. Management should think of AI as
narrowly-focused employees with great memories and not-so-great
social skills—idiot savants.”
Can machine intelligence succeed in Los Cabos? They will certainly be able
to mix the perfect margarita and even grasp a visitor’s Spanish. However
they are still not able to welcome guests with a warm smile or recommend,
based on personal experience, their favorite restaurant.

Dieter Esch
Chairman

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