The Globe and Mail - 02.11.2019

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B 20 OTHEGLOBEANDMAIL | SATURDAY,NOVEMBER2,2019


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SUSAN JANE WOOLNER
1951 - 2019

On October 29, 2019, Susan Jane
Woolner passed away peacefully
atBridgepoint Hospital in Toronto.
Predeceased by her parents James
Marshal Woolner andBettyAnn
Woolner. Survived by daughter
Marta, and siblingsBeth (Wim),
John, and Ward (Katharine).
As a lawyer Susan will be
remembered for her selflessness
and dedication to her clients. One
of her favourite pastimes was
camping inAlgonquin Park and
on the shores of Lake Superior,
often with her daughter Marta and
brother John.
As per Susan’s wishes there will
be no funeral.ACelebration of
Life will be held on Wednesday,
November 13, from 5 to 8 p.m., at
theArtfulDodger Pub, 10 Isabella
Street, Toronto. For those who
wish to make a donation in her
name, Susan has requested that
they be directed to theCanadian
Centre for Victims of Torture.
Online condolences may be left at
http://www.rosar-morrison.com

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M


cDonald’s has a new plan to sell
more Big Macs: Act like Big
Te c h.
Over the past seven months,
McDonald’s has spent hundreds of mil-
lions of dollars to acquire technology com-
panies that specialize in artificial intelli-
gence and machine learning. And the fast-
food chain has even established a new tech
hub in the heart of Silicon Valley – the McD
Tech Labs – where a team of engineers and
data scientists is working on voice-recog-
nition software.
The goal? To turn McDonald’s, a chain
better known for supersized portions than
for supercomputers, into a saltier, greasier
version of Amazon.
As fast-food sales decline across the in-
creasingly competitive restaurant indus-
try, McDonald’s is looking for new ways to
lure customers. On Tuesday, the chain said
same-store sales in the United States were
weaker than expected for the third quarter,
sending shares lower. But in the coming
years, the company’s machine-learning
technology could change how consumers
decide what to eat – and, in a potentially
ominous development for their waistlines,
make them eat more.
So far, the technological advances can
be experienced mostly at the chain’s thou-
sands of drive-throughs, where for years
menu boards have displayed a familiar ar-
ray of McDonald’s favourites: Big Macs,
Quarter Pounders, Chicken McNuggets.
Now, the chain has digital boards pro-
grammed to market that food more strate-
gically, taking into account such factors as
the time of day, the weather, the popularity
of certain menu items and the length of the
wait. On a hot afternoon, for example, the
board might promote soda rather than cof-
fee. At the conclusion of every transaction,
screens now display a list of recommenda-
tions, nudging customers to order more.
At some drive-throughs, McDonald’s
has tested technology that can recognize li-
cence-plate numbers, allowing the compa-
ny to tailor a list of suggested purchases to
a customer’s previous orders, as long as the
person agrees to sign away the data.
“You just grow to expect that in other
parts of your life. Why should it be different
when you’re ordering at McDonald’s?” said
Daniel Henry, the chain’s chief informa-
tion officer. “We don’t think food should be
any different than what you buy on Ama-
zon.”
As the evolution of the McDonald’s
drive-through shows, the internet shop-
ping experience, with its recommendation
algorithms and personalization, is increas-
ingly shaping the world of brick-and-mor-
tar retail, as restaurants, clothing stores,
supermarkets and other businesses use
new technology to collect consumer data
and then deploy that information to en-
courage more spending.
At some stores, Bluetooth devices now
track shoppers’ movements, allowing
companies to send texts and e-mails rec-
ommending products that customers lin-
gered over but did not buy. And a number
of retailers are experimenting with facial-
recognition tools and other technologies –
sometimes known as “offline cookies” –
that allow businesses to gather informa-
tion about customers even when they are
away from their computers.
In the restaurant world, the increasingly
popular food-delivery apps have produced
a slew of customer data. But much of that

information is controlled by third-party
technology companies rather than by the
restaurants themselves, underlining the
importance of tech expertise as the indus-
try grows more competitive.
“A lot of the restaurant chains, the larger
ones that have the cash and the clout and
the depth, are really turning into quasi-
technology companies,” said Michael At-
kinson, who runs Orderscape, a company
that provides voice-ordering technology.
“All of them have that ambition.”
In recent years, Domino’s Pizza has dis-
tinguished itself as a technology leader in
the slow-moving world of pizza (it’s hard
to disrupt a crust recipe), aiming to capture
the growing food-delivery market with
streamlined phone and online ordering
systems, data-collection techniques and
even self-driving cars.
Like the new McD Tech Labs in Califor-
nia, Domino’s also has a tech headquar-
ters: the “innovation garage” in Ann Arbor,
Mich., where teams of employees drawn
from departments across the company
work on specific projects under one roof –
an approach borrowed from Silicon Valley.
“That’s 60 years’ worth of legacy corpo-
rate structure that we have blown up by
moving into this building,” said Dennis
Maloney, the company’s chief digital offi-
cer. “Domino’s started off as a pizza com-
pany that sells online, and we’ve managed
to transform ourselves into an e-com-
merce company that sells pizza.”
So far, however, Domino’s has stopped
short of the latest McDonald’s
play: acquiring entire tech
startups. (Pizza Hut, however,
recently acquired a company
that produces online order-
ing software.)
In March, McDonald’s
spent more than US$300-mil-
lion to buy Dynamic Yield, the
Tel Aviv-based company that
developed the artificial intel-
ligence tools now used at
thousands of McDonald’s
drive-throughs. The deal “has
changed the way the high-
tech industry thinks about
potential M&A,” said Liad Ag-
mon, a former Israeli intelli-
gence official who co-founded Dynamic
Yield. “We’ll see more non-traditional tech
companies buying tech companies as an
accelerator for their digital efforts. It was
genius on McDonald’s side.”
Already, the recommendation algo-
rithms built into the drive-through menu
boards have generated larger orders,
McDonald’s CEO Steve Easterbrook said
during an earnings call in July. (Mr. Henry,
the chain’s information executive, de-
clined to reveal the size of the increase.) By
the end of the year, the new system is ex-
pected to be in place at nearly every McDo-
nald’s drive-through in the United States.
In September, McDonald’s purchased a
second tech company, Apprente, a startup
based in Mountain View, Calif., that devel-
ops voice-activated platforms that can
process orders in multiple languages and
accents. In recent months, McDonald’s has
tested voice recognition at some of its res-
taurants, seeking to replace the human
workers who take orders with a faster sys-
tem.
McDonald’s insists that the rollout of
the voice technology will not cost jobs. But
at a time when it faces renewed protests
from workers over low wages and sexual
harassment, the chain’s new focus on tech-
nology could intensify scrutiny of how it
treats its workers and how they might be
affected by automation. While McDonalds
has reported impressive growth over the
last couple of years, some employees at its
restaurants make less than US$10 an hour.
“Try raising a family on that,” said
Adriana Alvarez, an employee in Cicero,
Ill., who has helped lead the high-profile
campaign for a US$15 hourly wage at

McDonald’s. “The company should be able
to balance tech and other investments
and, in the process, ensure workers like me
are safe on the job and have a seat at the
table.”
With unemployment at just 3.5 per cent
in the United States, the fast-food industry
is facing one of its worst labour shortages
in decades. Rather than eliminate jobs,
McDonald’s claims that voice-recognition
technology would allow franchise owners
to reassign workers to understaffed areas
of their restaurants. But across the indus-
try, fast-food experts say, some chains may
attempt to use voice tools and other tech-
nologies to replace workers.
“The labour shortage, frankly, has done
more to push restaurants toward technol-
ogy than almost anything else,” said Jo-
nathan Maze, the executive editor of Res-
taurant Business Magazine, a trade publi-
cation. “It enables you theoretically to be
able to run your restaurant with fewer peo-
ple.”
At the McDonald’s drive-through on
Fort Hamilton Parkway in Brooklyn, every
order still must go through a human being:
Last week, the voice on the other end of the
speaker sounded perplexed when a report-
er turned down the free soda that usually
comes with a cheeseburger and fries.
But the rest of the drive-through experi-
ence – with its digital screens and recom-
mendation algorithms – does indeed feel a
bit like shopping online.
“It’s a great, efficient way to take peo-
ple’s money,” said Marayah
Jerry as she waited at the
drive-through to collect a
Ranch Snack Wrap. “I’ll
come with an idea of what I
want, and then I see the pic-
tures, and I’m like, ‘That
looks good.’ ”
Another drive-through
customer, Dalila Ruiz, said
she noticed the suggested
add-ons at the bottom of the
menu board but resisted the
temptation to splurge. “I
don’t want to be so fat,” Ms.
Ruiz said. Not all McDo-
nald’s customers are likely
to show such discipline. Crit-
ics of artificial intelligence have long
warned that the technology could lead to a
dystopian future in which humans are sub-
ordinate to machines.
Before the robot apocalypse, however,
AI might simply make us fatter.
“There are real, significant unintended
consequences of something like this fur-
ther driving unhealthy eating and more
fast-food eating and obesity rates and dia-
betes rates going up,” said Scott Kahan, a
doctor who directs the National Center for
Weight and Wellness, an obesity clinic in
Washington. “These sorts of technologies
are making it hard for people to just find
some reasonable moderation.”
There is plenty of precedent for compa-
nies like McDonald’s finding creative ways
to persuade Americans to consume more
calories. But the marriage of a fast-food gi-
ant and an artificial-intelligence startup
marks an unusual new chapter.
When Mr. Agmon, the co-founder of Dy-
namic Yield, announced McDonald’s ac-
quisition in a company WhatsApp chat in
March, his colleagues thought he was jok-
ing. “When you start working for a tech
company,” Mr. Agmon said, “you don’t ex-
pect this.”
Soon, however, the news began to sink
in: The next day, 250 McDonald’s ham-
burgers arrived at Dynamic Yield’s head-
quarters in Tel Aviv, along with fries for the
whole staff.
But this wasn’t really a McDonald’s
crowd. By the time the staff finished hug-
ging and congratulating each other, the
burgers were cold.

NEWYORKTIMESNEWS SERVICE

McDonald’shasdevelopeddigitalboardsprogrammedtomarkettheirfoodmorestrategically,takingintoaccountsuchfactorsasthetime
ofday,theweather,thepopularityofcertainmenuitemsandthelengthofthewait.ROBERTBEATTY/THENEWYORKTIMES

Wouldyoulikefrieswiththat?


McDonald’salreadyknowstheanswer


Thefast-foodgianthasspent
hundredsofmillionsofdollars
thisyearalonetobuytech
companiesthatspecialize
inAIandmachinelearning

DAVIDYAFFE-BELLANY

The labour shortage,
frankly, has done
more to push
restaurants toward
technology than
almost anything
else.

JONATHANMAZE
EXECUTIVEEDITOR,
RESTAURANTBUSINESS
MAGAZINE
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