Today, the enhancing technology that is machine learning has matured to the point where its commoditization allows us to apply intelligence horizontally across an organization. Oil and gas companies, consumer packaged goods brands, airlines, space technologists, and information officers from all industries are invested in the continuous development of these applications and, so, bring them more and more into business discussions and large-scale solutions. Curious how we do it here at Hypergiant? Flip through our playbook, delve into our ethos, and embrace the improvements brought on by machine intelligence. After reading and downloading this PDF, be sure to check out more exclusive materials on core machine intelligence capabilities available at Hypergiant.com/Transcripts.

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EDITION
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FIRST
OF ALL,
LET’S GET
ONE POINT
STRAIGHT:
AI IS NOT
A THING.

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Artificial intelligence (AI) is not a one-hit wonder, a one-trick pony, or any
other version of a short-termed solution to long-term transformation. It is
not a group of disparate tools implemented in ad hoc ways across multiple,
organizational components only to be retrofitted into a cohesive “stack” that
hopefully solves for key business processes. Heck, most companies (unaware that
data does not equal information) don’t even know that they need AI. They have
been gathering data for tens – maybe hundreds – of years, yet lack the vision
or resources to apply it intelligently. Is the data that we’ve been gathering
useful? Is it even the right data for our organizational needs? These questions
are rarely found in the agendas of internal teams and discussions, yet the data
influx continues.
Valid consideration for the benefits of AI, however, is nothing new. It’s quite
old, in fact. Our industry peers revere the stories of Hephaestus’ metal
automatons responsible (according to initial written records dating circa 900
BC) for important tasks such as guarding the island of Crete. After all, these
creations by the Greek god of craftsmen, fire, and technology (popular discourse
offers many titles) were nothing short of organisms built upon an intricate
interplay of living and nonliving components – creatures that seemed, to many at
the time, to be unreal in their organic qualities.

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Fast-forward many years and you find ac-
ademics that have been studying the ap-
plication of AI for more than 50 years,
hopping from the practical efficiency of
robotic task management to the evolved
decision-making skills of learned ma-
chines, and everything in-between. And,
while this domain has witnessed multiple
belief- and approach-based schisms, one
thing is for certain: what was once fic-
tion has most certainly become our real-
ity – a trend that we can all depend on.
Today, the enhancing technology that
is machine learning has matured to the
point where its commoditization allows
us to apply intelligence horizontally
across an organization.
Oil and gas companies, consumer packaged
goods brands, airlines, space technolo-
gists, and information officers from all
industries are invested in the contin-
uous development of these applications
and, so, bring them more and more into
business discussions and large-scale
solutions.
A

5. With this, it is becoming clear
that innovation is no longer owned
by design officers or even technolo-
gy officers; it is increasingly the
focus of board members and chief
executive officers. And good that it
is because without a top-down man-
date — one that carries the weight
required for different parts of
the enterprise to adopt change and
interoperability — scale is impos-
sible to achieve and the long-term
benefits of AI impossible to reap.
When properly sowed, however, the
financial applications of AI are
said to return value threefold. Not
to mention Gartner’s prediction
that 40 percent of customer-facing
and government employees will gar-
ner AI-powered decision or process
support on a daily basis by 2022.
Never has machine intelligence pre-
sented us with so much risk in its
negligence – and opportunity in its
adoption.
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I

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ENTER HYPERGIANT
TOMORROWING TODAY.TM
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7. AT LEAST, THAT’S WHAT IT MEANS TO US.
MACHINE INTELLIGENCE
THERE’S NOTHING ARTIFICIAL ABOUT IT
AI is a mindset and an ethos – it is a way
of looking at the world (and the industries
that it comprises) in a pragmatic, concise,
and clear manner. More important, AI means
a philosophical shift in one’s approach to
a problem, encompassing each and every dis-
cipline involved in solving it.
We’re not a design company, a software, or
built on algorithms. Rather, we’re a diverse
set of agile skills dedicated to the men
and women behind some of the most intricate
and integral systems in the world. Because,
while technology and software are the back-
bone of business, it is the people’s impor-
tance that will be highlighted most by the
rise of machine intelligence.
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When you remove the background noise of why ma-
chines cannot speak to each other or platforms
remain out of sync, and think just about what
humans need to do (from pushing buttons and
analyzing charts to making decisions and offer-
ing recommendations), the result is a workflow
unlike any other that has existed in technology
to date.
After all, AI is an apex technology – one that
sits at the core, similar to a larger mission
traversing departments or cohesive narrative
permeating communications. At Hypergiant, the
separate tackling of Blockchain, the Internet
of Things, Cloud platforms, moving to the Edge,
and other isolated initiatives is supplanted by
an omniscient and omnipresent methodology that
both organizations and their people can trust.

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Hypergiant’s focus lies less in wowing our partners with the tech-
nology that we use and more in ensuring that the machine intel-
ligence does what it is supposed to. We are the scientists that
partner with other scientists; the engineers that collaborate with
other engineers; and the intelligence that makes everything about a
business, well...more intelligent.
We combine strategy, design, development, and science into one unit
that then looks at an organization through the lens of both user
experience and machine intelligence. Simply put, Hypergiant is
where a business’s database structure and customer experience come
together to create the future, today – to architect solutions that
live, breathe, and adapt to whatever may come.
TRUST AND OUR
GRAVITATIONAL PULL
TRUST IS GARNERED WHEN MACHINE INTELLIGENCE IS COUPLED
WITH AND RESPECTFUL OF HUMAN INTELLIGENCE. FOR THIS
REASON, WE ARCHITECT AND IMPLEMENT SOLUTIONS THAT ARE
JUST THAT: INTELLIGENT AND FOR PEOPLE.

10. 10/HYPERGIANTMETHODOLOGY
USEREXPERIENCE
MACHINEINTELLIGENCE
OUTPUT

11. And we’re the ones creating its experiences. Where
previously there were two pillars accounted for (the
user and the business), now there are three. Be-
cause, honestly, if you’re not also responsible to
the data throughout both your internal and external
processes, then your business is not operating like
an organization ready to prepare itself (and others)
for the future.
We take responsibility for all three pillars of ma-
chine intelligence and revolve our efforts around
educating others to do the same. We don’t make expe-
riences that “may” use intelligence, but rather give
intelligence a fundamental role. And we offer our
partners the people, process, and methodology neces-
sary to achieve it.
THE 4TH INDUSTRIAL REVOLUTION OF
MACHINE INTELLIGENCE IS REAL.
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INTELLIGENCE EXPERIENCE
WHAT DOES THE HYPERGIANT
EFFECT LOOK LIKE?
BOTH INTELLIGENCE AND EXPERIENCE ARE
GIVEN EQUAL BALANCE AND CREDENCE.

13. NOT YOUR FATHER’S
AI COMPANY
Like the drive towards mobili-
ty in the last decade, AI must be
thought of in terms of its appli-
cations to various elements of a
business and will become just as
commoditized in the decade that
follows. It is a tapestry of tech-
nologies and techniques knit to-
gether to solve problems. And it
is definitely not a one-size-fits-
all.
A well-rounded team is, therefore,
essential. The composition of that
team must be as versatile – and
innovative – as the provocative
opportunities that machine intel-
ligence offers. Each problem must
be attacked creatively from multi-
ple sides.
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INTELLIGENCE
DESIGN
DEVELOPMENT
STRATEGY
SCIENCE

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All of the above come together from the beginning, holding the core narrative
together throughout the entire process (thereby avoiding any discordance or dis-
sipation downstream). These talent pods, in combination with Hypergiant’s techno-
logy-agnostic approach, build human-centric solutions from the ground up, tending
to the nature of the people in an effort to nurture the business.
Machine intelligence is a journey, one that rarely begins with pre-constructed
products augmented for application to complex business needs. Mindsets are what
need to be augmented, and that begins with an audit of technology systems to see
if the right ones are in place. As we all know, organizations may have a lot of
data, but they’re all different. The conversion of data into information – the
value that it’s given – marks a true turning point in the transformational ef-
forts of any business.
DESIGNERS STRATEGISTS DEVELOPERS
PHD DATA SCIENTISTS
+ R&D TECHNOLOGISTS
SO, WHILE MOST COMPANIES OVER-INDEX ON DESIGN OR TECHNOLOGY, WE HAVE
CHOSEN TO BRING A COMPREHENSIVE TEAM TOGETHER FROM THE FIRST STEP.
Perhaps, a deeper dive…

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DISCOVERY
4-6
WEEKS
Apply our
resources to
crafting a thesis
around the chosen
solution to the
problem at hand.
DEFINITION
8-16
WEEKS
Define how to tack-
le the thesis by
establishing a
tech-enabled, ser-
vice design layer
(a blueprint of
the workflow).
SCALE / INTEGRATION
4 MONTHS -
3 YEARS
Bring in partners
like Cognizant,
Ernst & Young, and
others to enable
our proven solu-
tion at a larger
scale.
TO EACH PROBLEM
WE APPLY A PHASED APPROACH

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TOOLS
PEOPLE
These four elements come to-
gether to form a cohesive
philosophy that we take with
us everywhere we go. A sort
of proven charm, if you will.
ENVIROMENT
SYSTEM

17. BREAK ON THROUGH TO
THE OTHER SIDE
JOIN HYPERGIANT IN TOMORROWING TODAY.TM
HYPERGIANT.COM/17
Using machine intelligence, we can start to model
approaches where safe doesn’t mean costly, accu-
rate doesn’t mean time-consuming, and intricate
doesn’t mean unapproachable. Tasks and work-
forces change all the time, but goals and pur-
pose? Those last lifetimes.
Join the space where impossibility intersects
reality. Where companies speed beyond norms and
realize an exploded potential. Where light filters
out the dark. And machine intelligence makes ev-
erything about business more intelligent.

18. CO-FOUNDER/
CHIEFSTRATEGYOFFICER
CO-FOUNDER/
CEO/EXECUTIVECHAIRMAN
DIRECTORSINAUTONOMOUSMACHINEINTELLIGENCESYSTEMS
AGENT0001
BENLAMM
AGENT0002
JOHNFREMONT
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19. CO-FOUNDER/
CHIEFREVENUEOFFICER
AGENT0003
WILLWOMBLE
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WE ARE HYPERGIANT
A guiding light for Fortune 500 companies.
Analyzing data. Teaching machines to teach them-
selves. Providing understanding, creation, and
implementation at the intersection of experience
and machine intelligence. Merging with part-
ners to create powerful technology solutions and
smarter, more efficient human workforces.
TOMORROWING TODAY.TM
[ BURN AFTER READING ]

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