Machine Intelligence: The Hypergiant Edition
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The document discusses the evolving role of artificial intelligence (AI) as a fundamental component of business transformation, emphasizing its integration across organizations rather than isolated applications. Hypergiant positions itself as a collaborative force that combines machine intelligence with human insight to create intelligent solutions tailored to diverse business needs. The focus is on a mindset change towards data and technology, fostering innovation from the top down for sustained success and efficiency.
![CO-FOUNDER/
CHIEFREVENUEOFFICER
AGENT0003
WILLWOMBLE
HYPERGIANT.COM/19
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 ]](https://image.slidesharecdn.com/hgmachineintelligencethehypergiantedition-181113234755/85/Machine-Intelligence-The-Hypergiant-Edition-19-320.jpg)
Machine Intelligence: The Hypergiant Edition
- 2. 2/ FIRST OF ALL, LET’S GET ONE POINT STRAIGHT: AI IS NOT A THING.
- 3. HYPERGIANT.COM/3 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.
- 4. 4/ 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. HYPERGIANT.COM/5 I
- 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. HYPERGIANT.COM/7
- 8. 8/ 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.
- 9. HYPERGIANT.COM/9 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.
- 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. HYPERGIANT.COM/11
- 12. 12/ 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. HYPERGIANT.COM/13 INTELLIGENCE DESIGN DEVELOPMENT STRATEGY SCIENCE
- 14. 14/ 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…
- 15. HYPERGIANT.COM/15 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
- 16. 16/ 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.
- 19. CO-FOUNDER/ CHIEFREVENUEOFFICER AGENT0003 WILLWOMBLE HYPERGIANT.COM/19 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 ]
- 20. HYPERGIANT.COM