Threatened by fierce competition from every direction, more and more companies across industries are investing in technology initiatives that automate and simplify every viable process to sustain their competitive advantage.

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THE FUTURE
WILL BE AUTOMATED
How a new generation of intelligent software
and hardware robots is redefining the way
business is being done
Jesper Nordström

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Threatened by fierce competition from every direction, more and more companies across
industries are investing in technology initiatives that automate and simplify every viable process
to sustain their competitive advantage. Hardware and software robots can complete an ever
increasing number of tasks more efficiently, effectively and reliably than human workers—
resulting in higher output, improved quality, reduced waste and lower labour costs. Moreover,
robots allow skilled workers to devote more time to higher-value tasks, and they can keep
working when the humans have gone home to sleep.
May 2016

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“Gartner predicts that by 2018, 45% of the fastest-
growing companies will have fewer employees than
instances of smart machines.”
This shift toward automation is not new, but current advances in artificial intelligence, robot-
ics and automation, supported by substantial capital investments, are accelerating this trend
and will continue to improve organisational performance in multiple ways. Gartner pre-
dicts1
that by 2018, 45% of the fastest-growing companies will have fewer employees than
instances of smart machines. As technology accelerates and the number of processes and
things infused with software is growing rapidly, so are the possibilities for what can be auto-
mated. The speed of change is immensely fast and we’ve so far only seen hints of what’s to
come. Exponential improvements in voice recognition, sensors, natural language processing,
machine learning and computing power are giving rise to a new generation of transformative
systems that will change the rules for how business is being done by solving an expanding
range of business problems—from routine tasks to groundbreaking achievements.
A new era of growth and innovation fuelled by
intelligent automation
An increasing number of artificial intelligence applications are being developed that make
machines more sophisticated in how they learn and make decisions­—expanding the limits of
what a robot is and can do. By gathering and synthesizing vast volumes of data from multiple
sources, these intelligent machines can automate complete processes or workflows, learning
and adapting along the way. This rapid development of intelligent automation is bringing
about a new era of productivity and innovation on an astounding scale, setting new standards
for quality, efficiency, speed and functionality.

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“The future winners of the digitized economy will
embrace intelligent robots as a springboard for new
growth and innovation, rethinking what they do
across every area of the enterprise.”
Before long, machines powered by artificial intelligence will become a core capability that
pervades every dimension of the business2
, enabling a more productive relationship between
people and machines. The future winners of the digitized economy will embrace intelligent
robots as a springboard for new growth and innovation, rethinking what they do across every
area of the enterprise. Frontrunners are already using it to increase agility, simplify systems
and operations, speed up time to market and drive continuous experimentation with new
products, services and business models—reinventing their organisation and industry in the
process.
However, incorporating artificial intelligence into the business won’t be an easy task. It
requires organisations to rethink how many things are being done and entails a major shift in
how IT systems are built. Organisations will need to redefine their business and IT architec-
tures, incorporating AI as a new foundational layer.3
Organisations that fail in this endeavour
will see themselves be surpassed by more forward thinking and agile competitors.
Thinking machines will transform the workforce
across every industry
Knowledge workers are being complemented by technology in increasingly high-value ways.
The next wave of cognitive technologies will give rise to a virtual workforce that can replicate
a considerable number of human actions and automate nearly any software-based process—
enabling end-to-end automation of a large part of our daily lives, which means that many jobs
will be redefined. Gartner suggests that one in three jobs will be converted to software, robots
and smart machines by 2025.4
We will see companies with workforces that comprise a mix
of human and virtual employees working in concert on tasks for which they are individually
perfectly suited.5
This evolution will have implications stretching across all areas and take
many different forms.
• Cobots: A new generation of intelligent, collaborative robots are capable of learning
from their human coworkers and performing a widening range of sophisticated tasks. By
connecting cobots with machine learning, we will in a near future also see robots that can
train themselves. Examples include Amazon Robotics’ mobile-robotic fulfilment system
for automating retail distribution centres, Universal Robots’ machines that can perform
a variety of jobs from sorting eggs to blood samples and Boston Dynamics’ autonomous,
quadruped robots capable of climbing, running and following commands.
• Cognitive agents: New artificial intelligence platforms like IPSoft’s cognitive knowl-
edge worker Amelia makes it possible to automate and augment business processes
across a broad range of functions. Amelia is a virtual service-desk employee who speaks

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more than 20 languages, learns on the job, replies to e-mail, answers phone calls and
holds conversations. She learns from reading manuals and situational context as well
as by observing and working with human colleagues. In a help desk situation Amelia
can understand what a caller is looking for, ask questions to clarify the issue, find and
access the required information and determine which steps to follow in order to solve
the problem.
• Robo advisors: The past few years have seen the rise of robo advisors such as Wealth-
front and Betterment—online wealth management services that provide automated,
algorithm-based portfolio management advice without the use of human financial plan-
ners.
• Robotic-Process Automation: RPA systems like UiPath and Blue Prism are revo-
lutionising the way organisations think about and operate business processes, enabling
users to simplify, accelerate and improve the accuracy of manual and repetitive tasks.
Software robots drive the user interface of third party applications like humans. Typical
activities include data entry, testing, content migration and legacy application integra-
tion.
• Autonomous vehicles: The capabilities of autonomous vehicles, such as Google’s
self-driving cars, using sensors and artificial intelligence to automate transportation,
are progressing rapidly with applications in many sectors. We are now seeing fully func-
tional autonomous vehicles being tested on our roads and in a decade they may start
replacing manual driving all together.
• Household appliances: Nest’s thermostat and iRobot’s robotic vacuum cleaner are
examples of how we’re seeing an increased use of automation and robotics in the home.
Common household tasks such as cleaning or folding laundry are extremely difficult for
machines to perform and require exceptionally complex software algorithms. But recent
advances driven by A.I. are now enabling robots to learn certain tasks by themselves and
teach each other what they have learnt.
• Autonomous Drones: Increasingly smart and autonomous drones are being tested
in many industries. Computer scientists and artificial intelligence experts at MIT have
created a lightweight, quick thinking, autonomous drone that can dodge and dive its way
around obstacles while flying at 30mph.6
The possibilities for use are almost endless.
Drones are ideal for monitoring remote or dangerous locations, such as surveilling crops
or landscape fires.
A new era in software development
Over the past years, born digital companies have transformed the way software is being
developed and deployed, as well as how technology infrastructure is being built and main-
tained. Companies like Netflix, Spotify and Amazon have trailblazed the integration of soft-
ware development functions with their IT operations, doing continuous delivery of smaller
improvements, where teams quickly design, integrate, test, deliver and monitor software
changes.
Automation is key to support this approach and to drive agility and innovation into the
application development lifecycle. Software robots eliminate manual quality assurance and

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execution steps, verifying that every business process work across every application, every
day—in the same way that end users would use them. Development teams don’t have to
wait around for other teams to catch up but can independently and rapidly check in, test
and deploy code through the click of one button, while maintaining consistent quality and
coverage. This means they can achieve more in less time and run projects faster and more
predictably.
“Development teams don’t have to wait around for
other teams to catch up but can independently and
rapidly check in, test and deploy code through the click
of one button.”
Sophisticated automated testing of new code is performed at every stage of the develop-
ment process to ensure that small problems like bugs and glitches are caught quickly before
they become large. In addition, with the help of advanced analytics and other tools, code is
preemptively scanned for exceptions and developers alerted about pieces of code likely to
generate errors.
New products are normally released as canary builds, staged so that updates initially are
released to only a small percentage of all users. If the software encounters issues, the auto-
mated system serve as a safety net and can quickly roll back deployment before the whole
user base is affected. If the software works as expected, it is automatically rolled out sequen-
tially to larger subsets of users.
What about organisations with legacy?
For organisations that weren’t born in the digital age and still have a mix of modern and
legacy technologies, building and scaling automated IT systems can be a challenge. The best
way to proceed is to focus on the highest-value automation opportunities. Customer-facing
elements are typically the highest priority, and they usually also undergo the greatest level
of innovation and change. To support this, developers need to incorporate automated testing
into their IT architectures, such as verifying end-to-end customer journeys as well as perfor-
mance and security tests. Each merge of new code into the main source code should trigger
these tests and the deployment of the latest code to low-risk test environments.7
Leading forward
In an era of continuous disruption, organisations don’t have the luxury to hesitate and defer
change efforts. Leadership must acknowledge the necessity for change and speedily drive
transformation in the organisation. When doing this, it’s key that leaders frame change pos-
itively as an opportunity and not as a threat of employees losing their jobs, by depicting how
new tools can benefit both employees and the organisation through cost savings, reduced
error rates, improved quality and the elimination of routine, mundane tasks in favour of
more stimulating ones. Moreover, they have to be firm about what the organisation must
stop doing and what they must start doing instead.

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Where to start?
In order to take full advantage of the possibilities of intelligent robots, companies need
to consider a number of issues8
pertaining to strategy, technology, information, human
resources and risk including:
• How can we use intelligent automation to improve operations, innovate and grow?
• What solutions should we choose and how should they be integrated?
• How do we acquire and prepare information assets for machine learning applications?
• What talent strategies and staffing and training plans will we need as a result of the
changing skill sets, job definitions and organisation design that intelligent automation
give rise to?
• How do we assess and mitigate risks in the form of cyber threats, privacy breaches,
product liability or discrimination?
About the author
Jesper Nordström is a digital strategist, emerging technology analyst and head of group
marketing at 3gamma. With a cross-disciplinary background, he has extensive experience
working at the intersection of business, IT and design – helping companies gain competitive
edge by leveraging digital strategies, concepts and technologies. Areas of expertise include
digital transformation, innovation strategy and emerging technologies. Jesper holds dual
degrees in engineering and business management.
References
1. Gartner Predicts Our Digital Future, Gartner’s Top 10 Predictions herald what it means to be human in a digital world,
6 Oct 2015, Heather Pemberton Levy, http://www.gartner.com/smarterwithgartner/gartner-predicts-our-digital-future/
2. Accenture Technology Vision 2016, https://www.accenture.com/us-en/insight-business-technology-trends-report.aspx
3. Accenture Technology Vision 2016, https://www.accenture.com/us-en/insight-business-technology-trends-report.aspx
4. Gartner Symposium/ITxpo 2014, Executive Summary Report, http://www.gartner.com/binaries/content/assets/events/
keywords/symposium/sym25/gartner-sym24-executive-report2.pdf
5. Will Robots Save The Future Of Work?, TechCrunch, 15 Jan 2016, Alastair Bathgate, http://techcrunch.com/2016/01/15/
will-robots-save-the-future-of-work/
6. Autonomous drone flies through trees at 30mph, Wired, 3 Nov 2015, Matt Burgess, http://www.wired.co.uk/news/
archive/2015-11/03/drone-autonomous-fly-trees-mit
7. Finding the speed to innovate, McKinsey & Company, April 2015, Satty Bhens, Ling Lau, Shahar Markovitch, http://www.
mckinsey.com/business-functions/business-technology/our-insights/finding-the-speed-to-innovate
8. Intelligent automation: A new era of innovation, Deloitte University Press, 22 Jan 2014, David Schatsky, Vikram Mahidhar,
http://dupress.com/articles/intelligent-automation-a-new-era-of-innovation/

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ABOUT 3GAMMA
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