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2019 Multifamily Innovation Digital Magazine

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Artificial<br />

INTELLIGENCE<br />

AI HAS A LONG WAY TO GO IN MULTIFAMILY DESPITE THE HYPE<br />

BY: MATTHEW OHLMAN, CTO, SHADOW VENTURES<br />

IT’S NO SECRET that technology adoption<br />

in <strong>Multifamily</strong> has historically lagged behind<br />

other industries. Even though multifamily<br />

construction spending has experienced double-digit<br />

growth over the past decade (one of<br />

the highest growth rates across all types of<br />

construction), the industry is still slow to adopt<br />

new technology.<br />

Construction, in general, has a massive labor<br />

and productivity problem on the job site. Millennials<br />

and Gen-Z aren’t interested in manual<br />

labor and are instead drawn to professional<br />

jobs or less labor-heavy sectors. Productivity<br />

(measured as output per worker) for the<br />

Construction sector has remained flat while<br />

other industries, such as Manufacturing, have<br />

increased significantly over the past few years.<br />

But in <strong>Multifamily</strong>, design and construction<br />

problems are only the beginning. After delivery,<br />

properties have an unprecedented amount<br />

of competition and have to deal with sky-high<br />

expectations from younger renters. The challenges<br />

across the building lifecycle are cutting<br />

into margins and making workers busier than<br />

ever.<br />

cases for Artificial Intelligence. As a seedstage<br />

investor in Real Estate and Construction<br />

Tech startups, I get a unique first look at the<br />

technology innovation happening to solve<br />

these problems (and more) in the industry.<br />

Many startups are indeed claiming to use<br />

Artificial Intelligence – so many that it seems<br />

to be an unwritten rule that every startup pitch<br />

deck must now mention Artificial Intelligence,<br />

Machine Learning, or other related buzz-words.<br />

But while it may seem like Artificial Intelligence<br />

is a recent trend, it is in fact not new and has<br />

been heavily researched for decades.<br />

In 1950, Alan Turing wrote a now-famous paper<br />

describing what has since been named The<br />

Turing Test – still the standard today to judge<br />

if a machine can exhibit human-like thought.<br />

Yet in the 69 years since Turing published his<br />

paper, no computer has been able to pass the<br />

Turing Test.<br />

These problems sound like the perfect use<br />

Alan Mathison Turing was an English mathematician,<br />

computer scientist, logician, cryptanalyst,<br />

philosopher and theoretical biologist.<br />

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