SJ113 Master 2

AUTUMN 2017
THE DAWN OF THE
DIGITAL SOCIETY
DATA CENTRE MOBILITY UNIFIED COMMUNICATIONS CLOUD SECURITY

contents
4
Zones Data centre
6
Data centre
14
Unified Communications / Mobility
6
Data: When Is
Enough, Enough?
20
20
Security
Who’s The New
Grandmaster?
26Cloud
New to Zones and don’t have
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Contact us at +44 (0) 207
608 7676. Our IT experts are
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with you.
Zones is a global provider
of comprehensive IT solutions.
We enable positive business outcomes through innovative
solutions that leverage technology from best-of-breed partners
and exceptional service from our team of certified sales,
technical engineering, and supply chain specialists.
14
The information tsunami
is just getting started.
When ’’Phoning It In’’
is Good for Business.
Driving remote worker
productivity and engagement.
26
Making the right moves to win
the security challenge.
Cloud-Minded.
Business-Grounded.
Forecasting a calm and clear
business climate.
2 Solutions by Zones Autumn 2017
ukzones.com +44 (0) 207 608 7676 3

RIGHT AT THE
HEART
OF IT ALL.
Information has become the most important
component of doing business in the world today.
Whether you’re collecting it, crunching it, streaming it,
or sharing it, we put it at the heart of everything
we do. So, no matter what your business is doing
with it, one thing’s for sure, Data centre Solutions
from Zones can help you do it better, faster, and
safer than ever before.
ZONES DATA CENTRE SOLUTIONS | LET’S TALK.
UKZONES.COM
+44 (0) 207 608 7676

DATA
When Is Enough,
Enough?
In his 2005 book The Singularity
Is Near: When Humans Transcend
Biology, futurist Ray Kurzweil
imagines a time when intelligence
becomes nonbiological and far more
powerful than ever before. Little more
than a decade later, the continuing
exponential progress of information
technology has brought us to the
point where we are indeed beginning
to transcend biological limitations,
stimulating creativity and enabling
new paradigms of work, thought,
and even life.
To understand the exponential
progress of information technology,
think for a moment about the
accelerating timeline of technological
progress over the past 52 years since
Fairchild Semiconductor’s (and later
Intel co-founder) Gordon Moore

The Silicon Engine
1950s
Silicon
Transistor
1
Transistor
A Timeline of Semiconductors
1990s
32-bit
Microprocessor
3,100,000
Transistors
1960s
TTL
Quad Gate
16
Transistors
plotted a handful of data points
that tracked the increasing number
of integrated circuits that could be
placed on a single chip.
Based on just five data points dating
back to 1959, Moore found that it
was taking approximately a year for
engineers to double the number of
computing elements per chip. As
additional data was gathered over
time, the time period for doubling
was revised to two years, establishing
Moore’s Law. And so it continued.
When Intel launched its first
microprocessor, the 4004 in 1971,
64-bit
Microprocessor
592,000,000
Transistors
1970s
8-bit
Microprocessor
4500
Transistors
2010s
3072-Core
GRU
8,000,000,000
Transistors
Photo credits: Fairchild Camera and Instrument Corporation, Intel Corporation
(Note that images are not to scale), Nvidia Corporation
1980s
32-bit
Microprocessor
275,000
Transistors
2,300 transistors were jam-packed
onto a 12-square-millimeter chip.
Compare that with the 3.2 billion
transistors on Intel’s 10-core Core i7
Broadwell-E processor today,
and you begin to understand the
scale of exponential acceleration.
It seems incredible that Moore’s
Law has held true over the decades,
but it has. Time after time, as the
limitations of processor design and
manufacturing technology seemed
likely to derail it, new advances put
his theory right back on track.
How did this happen? In a word:
technology. As engineers shifted
design from slide rules and paper to
electronic calculators to CAD systems,
the chips in those devices enabled
breakthroughs in subsequent chip
designs. Likewise, those advanced
and advancing processors enabled
manufacturing technologies to
produce ever-smaller circuits
on silicon.
Will Moore’s Law continue to hold?
That’s the subject of some debate in
our industry right now. But if history
is any guide, it’s likely that technology
will continue to enable exponential
growth – in ways that are today
still unimaginable.
Whether processing power continues
to double on a regular schedule
may be a moot point, however.
From a utility standpoint, we are
now operating with a vast amount
of computing power. How we use
available computing power is
becoming more and more interesting
than how much we will actually have
in the future.
Transistor density
on integrated circuits
doubles about
every two years.
Source: “Moore’s Law: Rising the
Bar” (Intel Corporation, 2005)
My, how you
have grown.
An interesting way to think about
exponential growth is to contrast it
with linear growth.
Let’s say you have a stride of 3 feet,
and you take a walk. Ten strides into
your walk, you’re 30 feet from
your starting point at a rate of 3-feetper-stride.
And, it’s easy to predict
where you’d be after 10 more steps.
Now imagine that you could double
the distance of your stride with each
step. That would mean that after 10
strides, you’d be over 3,000 feet from
your starting point.
That’s the almost unimaginable
change that exponential growth can
deliver. And what makes imagining
exactly where we’re headed so
difficult. We simply tend not to think
in exponential terms in most aspects
of our lives.
Today, data flows through our lives at
an incredible rate.
Our cars, once marvels of mechanical
engineering, have been transformed
into computers on wheels. And that
smartphone in your pocket? It’s got
more processing power than the
Apollo command modules that took
people to the moon and back.
Right now in data centres and labs
all around the world, the ability to
crunch mountains of data is enabling
exponential growth in 3D printing,
virtual reality, automation, robotics,
artificial intelligence (AI), and genetic
science – all of which stand to
dramatically affect the quality and
longevity of life itself.
The power of accelerating technology
to shape the future is staggering.
Consider that the first human
genome was sequenced in 2004 at a
cost of approximately $2 billion; less
than the projected cost of $2.3 billion,
and two years ahead of the schedule
established in 1990.
While truly groundbreaking at the
time, technological and scientific
advancements in the interim mean
that today the same feat can be
accomplished in 26 hours at a cost
of about £800. Researchers are
exploiting those massive time and
cost reductions to identify specific
mutations and develop highly
personalised treatments for cancer
patients.
As you can see, exponential
technological evolution is not
limited to processors. Every related
technology is riding a wave of
astonishing progress. Storage capacity
and data transmission rates – both
wired and wireless – continue to grow
exponentially as well. And the ability
of evolving technology to speed the
development of next-generation – or
entirely new – technologies ensures
that it will continue. The result is an
ever-increasing availability of more
data to more people in more places,
and at lower cost, fueling further
innovation in every field.
In 2001, Kurzweil wrote that the
overall rate of progress was doubling,
“We won’t experience 100 years of
progress in the 21st century – it will
be more like 20,000 years of progress
(at today’s rate).” And it would be
wise to heed the forecasting abilities
of a man who predicted in 1990 that
a computer would beat a master
chess player by 1998. After all, it
happened on May 11, 1997, when
IBM’s Deep Blue beat grandmaster
Gary Kasparov in a six-game match.
Fourteen years later, in 2011, Deep
Blue’s descendant Watson took on
two of the game show Jeopardy’s
greatest champions and beat them
both over three nights.
Taking a turn
for the better.
Perhaps our native disinclination to
think in terms of exponential growth
is why we hear so much about – and
why we experience – “disruption” in
so many aspects of business today.
A business model like Uber’s
simply could not exist before the
smartphone, so there’s really no way
anyone could have anticipated its
utility or popularity in 2007, when
Apple introduced the iPhone. It’s not
fair to say that taxi and private hire
companies were caught napping,
because Uber was truly revolutionary
– not evolutionary – in leveraging
newly available geolocation and cloud
technologies to transform an industry.
It’s no wonder the company
has become the poster child for
disruption.
Today, we are all beneficiaries of
the technologies that enable such
disruption. The cost of computing
power, storage, and networking
have fallen almost as quickly as their
capacities have increased.
Think about the early PCs, they had
no onboard storage. Instead you
inserted a (truly) floppy disk with a
8 Solutions by Zones Autumn 2017
ukzones.com +44 (0) 207 608 7676 9

capacity of a few kilobits and went
to work. Apple’s first hard drive, the
ProFile offered 5MB of storage for
£2,700. That’s £540 per MB. Today,
you can run to your local PC World
and pick up a 512GB memory card
– that’s 500,000MB – for the princely
sum of £330 or £0.001 per MB.
The same price for performance
declines hold true across the
technology landscape. In 2017, we
think nothing of the computing
power we hold in our hands, deploy
in our data centres, or access in the
cloud.
We can expect increasingly easy
access to data that will drive change
in our business and personal lives,
too.
Advances in miniaturisation and highspeed
wireless networking mean the
mobile revolution is just beginning.
It’s not hard to imagine that devices
the size of an Apple Watch will soon
have the utility of a home office. And
advances in voice recognition mean
we won’t need to interact with that
tiny screen, we’ll just have to speak
and listen.
Cybersecurity experts are embracing
machine learning, as well, in a game
of leapfrog that pits the black hats’
algorithms against those of the good
guys (see article on page 20).
Big data – and the information
derived from it – is yet another result
of the shrinking cost and growing
availability of massive computing
power and storage capacity. For
example, in medicine, machines can
now scan and compare thousands of
images to spot anomalies, leading to
faster diagnoses. Police departments
can use big data to identify patterns
of activity and deploy resources more
quickly to respond to or even deter,
criminal activity. And businesses can
sift through unlimited amounts of
customer and sales data to identify
triggers and opportunities in the
marketplace.
Cheap data is also driving the rapid
evolution of machine learning. Every
day we interact with algorithms that
determine what we see online – from
friend recommendations on Facebook
to purchase suggestions on Amazon
to the ads that pop up in almost all
our browsers. These machine learning
systems create models based on
existing information and then make
predictions and decisions based on
new data. In other words, they “learn.”
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It’s likely that soon, big data, machine
learning, and nanotechnology –
the manipulation of individual
atoms and molecules – will come
together to address the subtitle
of Kurzweil’s book, When Humans
Transcend Biology.
In the not too distant future, we can
expect microscopic smart machines to
help us fight disease, and allow us to
experience the exponential growth of
technology well into old age.
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When “phoning it in”
is good for business.
Driving remote worker
productivity & engagement.
Remote working. Love it or hate it, working from home (WFH)
is here to stay.
Sure, Yahoo’s Marissa Mayer brought (almost) everyone back
on campus when she took the reins in 2013, but there’s little
evidence that the move slowed the company’s decline. And
for every Yahoo, there’s a Ctrip, the Chinese travel website that
measured a 13.5 percent increase in calls made by its remote
workers, versus its on-site office workers.
That kind of increase represents almost a full day’s worth of
productivity added to the bottom line for every remote worker
each week. Maybe that’s why Amazon recently announced its
plan to add 5,000 remote customer service positions over
the next year.
And while quantifying productivity for many roles won’t be as
easy as tracking call volume, it’s a safe bet that your operation
could see a similar boost in productivity – and morale – by
embracing it.
One thing’s for sure – you’re likely to see a larger pool of
qualified applicants for open positions more quickly. When you
remove geographic barriers, you can tap into talent that would
not consider moving to your city for any number of reasons.
Depending on your location and that of applicants, this could
result in paying less to fill those positions.
ukzones.com +44 (0) 207 608 7676 15

Flexible.
Convenient.
Sustainable.
Eliminating the regular commute for
workers costs employers little but
gives team members something of
immense value: time.
Trimming 30 minutes to 4 hours
of commuting time from workers’
daily routines is essentially a no-cost
benefit the organisation can leverage
to attract and retain talent in urban
and rural areas alike. And rest assured,
the perceived value of this benefit to
workers is extremely high.
Beyond perceived value, WFH
arrangements also deliver real savings
to workers in the form of reduced
commuting expenses. An employee
commuting 40 miles roundtrip in a
car getting 20 mpg stands to save
almost £10 a day in petrol alone, not
to mention wear-and-tear on the
car, tolls, and parking fees. Likewise,
transit costs are substantially reduced
or altogether eliminated.
It’s not only the team members
who stand to benefit financially.
A well-planned WFH initiative can
substantially reduce the need for office
space. On those days when remote
workers need to be in the office for
meetings, they can be accommodated
in a much smaller hoteling space than
would be acceptable to them if they
had to call it “home” five days a week.
And, if you look at the big picture, WFH
impacts sustainability as well. Fewer
commuters means fewer emissions and
less traffic on area roadways.
In fact, a study by the Telework
Research Network calculated that if
all of the 45 percent of U.S. workers
holding at least part-time WFHcompatible
jobs worked at home two
to four days a week, we could see a
reduction in greenhouse gases of up
to 51 million tons – the equivalent of
taking almost 11 million cars off the
road for a year.
Work on your
terms.
It’s no surprise that some employers
confuse presence with productivity.
But as most people can attest, some
people who show up to the office
every day are not giving it their all.
Whether that’s because of poor
work habits or
distraction due to
work/life balance
issues is hard to
know, but a welldesigned
WFH
arrangement can
greatly reduce
the stress of
maintaining
balance between
work and parental or caregiver
responsibilities. And reducing
negative stress is
proven to raise productivity.
Enabling such productivity in
the workplace has been dubbed
“productive mobility.”
Productive mobility is achieved
through technology that enhances
Enabling such
productivity in
the workplace
has been dubbed
“productive
mobility.”
the work experience outside of
the physical office. Not too long
ago, such enabling technology was
limited to a laptop computer and a
BlackBerry. While that did contribute
to better work/life balance, it could
also contribute to a degree of
disconnectedness between remote
workers and their teams or managers.
Today, a well-crafted WFH/productive
mobility plan can include a range of
technologies that keeps everyone
in the organisation connected and
(sometimes literally) on the same
page. At a minimum, you can bet
that plan will include cloud-based
sharing and collaboration tools, as
well as presence functionality that lets
everyone on the team know who’s
online and available at all times.
At Zones, we’re seeing greater
demand
for mobility
solutions that
streamline
the transition
from working
in the office to
working from
home.
One of the most
important areas for consideration
is how people communicate. If
remote workers can conduct their
day-to-day interactions in ways that
are similar to how it’s done in the
office, everyone benefits. If face-toface
meetings are essential, a highquality
videoconferencing solution
may be what you need to maintain
interpersonal connections.
Our Mobility and Unified
Communications teams are experts
at helping businesses develop robust
solutions that
marry hardware,
software, security
protocols, and the
cloud to enable
dispersed workers
to collaborate
effectively,
wherever they
need to be.
Sparking greater
collaboration.
Cisco is doing an excellent job of
facilitating WFH initiatives – and
collaboration in general – with its
enterprise-grade on-premises, cloud,
and hybrid collaboration tools.
The company’s Business Edition
platforms provide end-to-end unified
communications capabilities including
voice, video, conferencing, messaging,
instant messaging, and presence.
To extend the value of on-premises
unified communications and
collaboration investments, many
organisations are turning to Zones
and Cisco Spark Hybrid Services. Cisco
Spark Hybrid Services connect what
you have on-premises with Cisco Spark
in the cloud. This gives businesses
even greater collaboration capabilities,
along with consistent, unified end-user
and administrator experiences.
With Cisco Spark Hybrid Services in
place, all your users – remote and
on-site – get a simple, secure space
to get things done from anywhere
they work. Using virtually any device,
teams can activate the Spark app to
screen share,
white board,
and create
dedicated
spaces to keep
the conversation
moving forward,
regardless of
where they are.
... a high-quality
videoconferencing
solution can
maintain critical
interpersonal
connections.
Similarly,
Microsoft’s Skype for Business delivers
enhanced collaboration and powerful
video-conferencing capabilities that
can radically boost engagement
among remote workers.
Plan for
productivity.
Of course, no discussion about
WFH-optimised infrastructure would
be complete without addressing
the devices that workers will actually
use. While most current desktops,
notebooks, and tablets have the
connectivity, processing power, and
memory necessary to work remotely,
you’d be wise to consider the
latest models if you want to access
every available feature of today’s
collaboration solutions.
In a Windows environment, that
means stepping up to Windows 10
devices equipped with Intel ® 7th
Generation Core processors. The
reason for moving to 7th Generation
– or “Kaby Lake” processors – is
twofold.
First, Microsoft will end extended
support for Windows 7 in July 2020;
the less ubiquitous Windows 8.1 will
see extended support until 2023.
Second, while 6th Generation Intel
Core Processors will run Windows 10,
7th-Generation-equipped devices
won’t run Windows 7 or 8.1. That
means you risk either OS or device
obsolescence in the not too distant
future if you continue to invest in
6th Generation processors.
If you’re running Office 365 with OS X
devices, you should be in good shape
for the foreseeable future.
Out with the old.
In with Zones.
As in so many aspects of life today,
technology continues to make the old
way of doing things obsolete. And
while face-to-face communication will
continue to provide particular nuance
to business relationships, the benefits
of remote work – economic, personal,
and societal – are becoming too
compelling to ignore.
If you’re thinking about implementing
a WFH initiative within your
organisation, let us know. We’re
ready to put together a team of IT
professionals who can evaluate your
existing infrastructure. We’ll guide
you through the process of deploying
a productive solution that keeps
your people working effectively and
efficiently – no matter where they
may be.
16 Solutions by Zones Autumn 2017
ukzones.com +44 (0) 207 608 7676 17

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1
IDC, The Business Value of VCE Vblock Systems: Leveraging Convergence to Drive Business Agility, May 2015 https://www.emc.com/collateral/vce/idc-business-valuewhitepaper.pdf.
2
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Who’s The New
Grandmaster?
Making the right moves to win the security challenge.
This year marks the 20th anniversary of
the final match game between chess
champion Garry Kasparov and the IBM
supercomputer Deep Blue. The world
watched as Kasparov became the first
world champion to be defeated in a
match by a machine. The loss sparked
the debate of “man versus machine” in
the digital age.
Fast-forward to the present, and the debate continues.
Only now, we’re talking about machine learning too.
But this is well-established technology. So, why all the
interest? The answer is simple – machine learning requires
a vast amount of data to come up with a simple answer.
We’ve now reached the digital tipping point – big data.
In addition, improvements to current technologies are
being fueled by reduced hardware and software costs,
and advancements in machine learning research and
development.
At the fast rate big data is growing, the demand for security
intelligence also grows. While machine learning is being
used in positive ways, it’s also being used for security
breaches, too. So, what happens when two systems – hacker
and enterprise – using machine learning meet up in a
match of wits?
ukzones.com +44 (0) 207 608 7676 21

5 Ways Machine Learning
Can Be Used for Security
During 2016, we had a record high of 1,093 breaches, according to
the Identify Threat Resource Center. Don’t let your business become
a statistic. Machine learning is being applied to five new areas with
hopes that this capability can catch threats before they result in
major security incidents.
Do you enjoy being
the new Grandmaster?
Learning
security moves.
When a hacker’s system which is
capable of machine learning goes up
against an enterprise system, there’s
a battle between security know-how.
And, when data centre security is
also learning defensive moves, there
can be a chaotic and rapid exchange
of strategic moves. That is, until
someone wins.
Briefly, machine learning is a series
of techniques used to “train” a
machine how to solve a problem.
Although, there’s been a lot of “new”
hype around machine learning, it’s
currently being used now in several
industries. Common applications
of machine learning in technology
include voice recognition, fraud
detection, email spam filtering, search
recommendations, and video analysis.
So, chances are you’ve already seen
machine learning in action.
You’re most likely already using
machine learning as part of your
data centre security protection.
Today’s defense solutions are
optimised to prevent targeted attacks,
advanced threats, and malware
from embedding or spreading
within a data centre or network. For
example, at Zones we offer Trend
Micro’s solution that can analyse
unknown threats with machine
learning algorithms to make real-time
decisions on whether network traffic
is malicious or benign.
Zones also provides solutions that
protect enterprises from attack
methods that no one has ever
seen before. We help you apply
a unique combination of behavior
analytics, data science techniques,
and machine learning algorithms.
This baseline, “normal” network,
and endpoint behavior, helps identify
attack indicators and minimise
false positives.
These examples of cross-generational
techniques to defend networks
against known, undisclosed, and
unknown threats, demonstrate the
value of today’s security solutions.
Winning the
defense game.
With machine learning in play,
security becomes the only game
to win. Many advanced threats
are designed specifically to bypass
traditional security defenses. Today’s
sophisticated threats require new
ways to protect everyone and
everything – users, networks, data,
customers, organisations, and the list
goes on.
While no one can say that a single
security solution is foolproof, machine
learning can certainly help you
go from vulnerable to victorious
in one fell swoop. Today’s security
solutions use machine learning –
behavioral analysis, intrusion and
exploit prevention, investigation
and forensics, memory inspection,
prevalence/maturity checks, and
reputational intelligence – to protect
against threats. In some cases,
this occurs even months before a
vulnerability can be exploited by a
threat. Seeing ahead is a significant
strength in the security game.
Instead of tossing security solutions
around without rhyme or reason
like pieces on a chessboard, let
Zones help you figure out your next
move. For starters, it’s easy to see
every piece that’s undefended. Once
you know your undefended pieces,
you can make a jump in security
strengths. Zones Security Assessment
services can help you make that jump.
Whether it’s security assessments,
solutions, or both, we’re ready
to help you be the winner of
the security match, and help you
turn “check” into “checkmate.”
1. Closing IoT vulnerabilities: You
can leverage machine learning
technology to analyse data and
network interactions, determining
safe device behavior. With this
level of insight into general use
patterns, it becomes easier to
identify abnormal activity and
block harmful actions.
2. Preventing false alerts: When
machine learning identifies
something as suspicious, you
can provide feedback by tagging
legitimate threats. The solution
then adjusts its monitoring filters,
boosting its ability to find and
mitigate real breaches before
they cause damage.
3. Stopping exploits: Criminal
hackers often share ideas and
information on forums and
websites that aren’t indexed by
search engines. Machine learning
can be used to monitor traffic
within these areas to identify
data relating to zero-day exploits.
Then, you can use this data to
close vulnerabilities and stop
patch exploits before they result
in a data breach.
4. Predicting threats: Cybersecurity
solutions can easily integrate
Source: Trend Micro blog, 16/3/17. http://blog.
trendmicro.com/5-ways-machine-learning-canbe-used-for-security-today/
with machine learning to detect
network changes over time
and revise behavioral profiles.
This helps predict threats based
on historical data and limit
the number of false positives
that appear.
5. Providing holistic protection:
Upgrade to the latest security
solutions that combine proven
threat detection techniques,
advanced protection methods,
and high-fidelity machine
learning. This combination
ensures that you’ll have a holistic,
effective enterprise defense.
A layered security
infrastructure will protect
your company against
98 percent of the known
threats, but there’s
always the possibility of
compromise through an
unknown vulnerability.”
22 Solutions by Zones Autumn 2017
ukzones.com +44 (0) 207 608 7676 23

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© 2017 Plantronics, Inc. All trademarks are the property of their respective owners.
Wherever you work, noise can be distracting.
So whether you're in an open office or on a
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+44 (0) 20 7608 7676
hello@ukzones.com
In partnership with
www.mimecast.com

The forecast calls for 80 percent
of IT to be in the cloud by 2020.
Cloud-Minded.
Business-Grounded.
The cloud is going mainstream and delivering on its
promises. Companies moving workloads are seeing the
cloud as a catalyst for business growth. These companies
are innovating freely, reaching out to new markets, and
disrupting the status quo.
But with cloud technologies being developed at
staggering rates, it’s hard to predict which direction
they’re moving. More important for you is planning
a cloud strategy that goes along with your business
forecast.
In today’s dynamic digital economy, winning depends on
technology-enabled value. The central focus of that value
is what drives a company’s ability to innovate, and cloud
services are key contributors to success. The modern
cloud must support and energise business, help a
company experiment and adapt fluidly to market
changes, and ultimately deliver on its full potential
for new revenue streams.
It’s comforting to know that the cloud, as part of our
digital transformation, is becoming the norm for most
businesses. In fact, at Zones we’ve taken the lead in
quite a few industry sectors – healthcare, local
government, and manufacturing and distribution
– all of which are being redefined by the cloud.

Where do you fit in?
Cloud by the Numbers
47 % Hybrid Cloud
Public Cloud
Use cloud in
30 %
50 %
90 %
23 %
Private Cloud
42 %
Cloud-first
or only.
a benefit. 82 %
Security is
a benefit.
Expect ROI
in

availability, and performance.
Company data is then automatically
replicated, which allows Microsoft to
guarantee 99.9 percent uptime for
companies using their cloud data
centers.
Your forecast.
Calm and clear.
At Zones, we predict your company
can be cloud minded and business
grounded in no time. With just one
visit, we can show you how cloud
solutions can drive growth, foster
innovation, and expand your overall
presence. It’s all done through our
portfolio of Cloud Assessments and
Cloud Solutions that cover everything
from strategy and migration to
backup services and more.
So, let’s talk cloud today. Together,
we’ll look at your cloud forecast. How
cloudy is your forecast? Is it calling
for public, private, or hybrid? IaaS or
PaaS? OpEx vs. CapEx? Rain or shine,
we can help. Contact your Zones
account executive or call +44 (0) 207
608 7676 to get the conversation
started.
Our global experts will support your business every step of the way. Together, we’ll make
sure your IT solutions get where they need to be no matter where you are in the world.
Giving you the power to deliver a seamless customer experience, that remains consistent
each and every time.
ZONES GLOBAL IT SOLUTIONS | LET’S TALK.
ZONES.COM | +44 (0) 207 608 7676
30 Solutions by Zones Autumn 2017

We’re turning your
perception of digital
transformation into
a beautiful reality.
UKZONES.COM +44 (0) 207 608 7676
©2017 Zones, Inc. All rights reserved. Unauthorised duplication is a violation of federal laws. Zones, Ukzones.com,
The Mac Zone, Multiple Zones and Zones Government & Education are registered trademarks of Zones, Inc.
All partner product names throughout this catalog are trademarks of their respective holders.
This publication may contain copyrighted material the use of which has not been specifically authorised by the
copyright owner. Zones, Inc. believes that this constitutes a ‘fair use’ of the copyrighted material as provided for
in section 32 107 of the Solutions U.S. Copyright by Zones Law. Autumn 2017