Trends Report
Trends Report

What does an Augmented Organization look like?

By “Augmented” we refer to those organizations that are digitally transformed and have applied Artificial Intelligence (AI) to various functions in their business to enhance their areas, internal experiences, and processes. These are companies that embrace the augmented capacity of their employees as they integrate AI capabilities into daily tasks. These companies have seen a positive impact in efficiency, reach, and innovation. Across all industries, organizations can benefit from applying AI both internally and externally. Most are familiar with the mainstream examples of using AI, such as generating better understanding of customers with behavioral analysis, and communication management leveraging conversational engines. In this report we dive into some other examples of augmenting an organization.

Augmented Culture

Culture is not an elusive, ephemeral, intangible thing; it’s actually very visible and even measurable. Corporate culture is broad and can be hard to grasp, so it’s easy to push it to the side. However, culture isn’t secondary—it’s core to building the happiest and most motivated teams you may ever have and, of course, to increasing revenue. CEOs recognize this.

More than 90% of CEOs believed that culture was important, and 92% believed that improving their company’s culture would increase the firm’s value.[C1]

Researchers compared stock market performance of a portfolio of publicly-traded companies rated “Best to Work For” by employees with the Fortune 500. After five years, those rated “Best to Work For” were on average 40% more valuable in the stock market, while in the same period the S&P 500 experienced a 9% decline in returns. Happy employees play a role in increasing a company’s stock price.[C2]



How can Artificial Intelligence positively impact your culture?


Culture is very rooted in individuals—your employees are the ones that keep it alive and expand it to the newcomers. By understanding the interactions and networks among your own employees, it is possible to identify cultural insights, who your main cultural ambassadors are, and define strategies to strengthen your culture based on this data. Two cases for using this data are in sifting top performers from the rest, and in
anticipating new-hire attrition.
StarMeUp OS, an operating system for digitally transformed or transforming organizations, uses AI to generate their Cultural Leaders Heatmap. This graph helps organizations find their cultural leader. Different strategies emerge from the analysis of each individual's movements within this graph.

Augmented culture


Similarly, tools can be used to identify the particular behaviors a person displays before leaving the company. AI can be used to infer the proper patterns to actually detect disengaging behavior and predict attrition.
Every company named best place to work by Comparably in 2018 understands the importance of culture and applies many strategies to keep it alive and strong. AI can make this an easier task as your company scales.

Augmented Productivity

Productivity is key to a business’ success. It is directly tied to the employees’ ability to fulfill a task for which they previously set standards or objectives. It’s no secret that most businesses have continuous improvement of individuals’ performance as a goal. And it is also not a secret that most employees want to be productive, but the organization too often gets in their way.

Research by Harvard Business Review indicates that “the average company loses more than 20% of its productive capacity more than a day each week to what we call “organizational drag,” the structures and processes that consume valuable time and prevent people from getting things done.”[C3]

How can Artificial Intelligence boost productivity?


Most people are aware that AI can help in multiple ways. Not
only can this technology aid in speeding processes and boosting quality, but it also has the power to affect the speed at which we learn. AI can help employees get to the next level, and shorten the learning curve. This looks differently in each industry, and can
even improve on the core business for those organizations willing to make that leap.
In the retail industry timely and accurate delivery of product is essential to high productivity. GAP has had great success recently by using robotics and AI to create a logistical solution for their
online and retail deliveries over the holidays.
In the field of online education, productivity depends on the students’ learning progress. With the students in mind, one way organizations are applying AI in this area is by engineering teacher-student feedback solutions. These use Machine Learning to understand the timing of a student’s needs, and to determine whether the question would be better answered by the intelligent assistant or live by a teacher. Also, they can be applied to metrics the teacher sees about their students, ensuring the most timely and accurate instructions and encouragements.

Augmented culture

Whatever your industry, AI can augment your organization’s productivity for a comprehensive digital and cognitive transformation. It’s just that simple. Just as business leaders hope that their employees never stop learning, never stop innovating,
they can come to expect the same from the automated aspects of their business. All it takes is the will to transform, the culture to support the change, and the freedom to innovate.

Augmented Recruiting

Attracting and hiring the right talent for your company is pivotal to success, no matter your industry. The seasoned recruiter has an eye for discerning when a person is a good fit. Team leaders, too, have this eye—for sifting the high from the low performers. As an organization grows, it will need to scale the experience. In addition, it will need to continue to detect genuine talent with a level of certainty that it will be a great fit for its structure. But how?

First let’s consider the prominent challenges in talent acquisition nowadays. The inefficiencies come from all sides. How can we sift efficiently through the average 250 resumes for each corporate job? How could we lower the wait times for the recruiter waiting on her hiring manager’s review? How do we avoid missing the best-fit candidate amidst all the noise? And how do we cut out the biases involved in hiring? [C4] These are all very real challenges for the recruiter.

How can AI improve and scale the recruiting process?

There are many ways, whether you’re looking for a candidate who can perform at desired levels or predicting if they will be a good cultural fit for your organization.
Some organizations are applying AI in these areas to generate a deeper understanding of the candidates. For example, there are now “dating apps” for potential employees and businesses that are hiring. The app receives candidates’ resumes and businesses’ descriptions in video form, and uses AI to analyze the content
and generate business-applicant “matches.” Other organizations are applying the technology to improve efficiency across the acquisition process. One such application uses a CRM tool, Applicant Tracking System, and analytics aspect to speed the process and ensure quality hires. It also drastically reduces onboarding times—for some organizations same-day hire became possible—and saves time for those in the back office. [C5]
Augmented culture


Regardless of its application, the use of AI alongside human talent and experience is a powerful combination. No longer is the hiring decision centered on the candidate’s experience; now, whether or
not the candidate fits your organization’s culture is just as essential. This requires added complexity to the recruiting process, and AI has been shown to help with that.

Quantum Computing

A Quantum computer has the ability to be in multiple states and perform tasks using all possible permutations simultaneously

On the grounds of such features—and by the end of 2025—it is expected that there will be more than USD $23 billion in revenue generated through the adoption of quantum computing across the globe.

During this forecasted decade, the global market for quantum computing is expected to expand exponentially: a whopping 30.9% compound annual growth rate, as per Persistence Market Research.


Example: A German automaker quantum computed an optimized traffic flow for Chinese taxicabs in Beijing, using freely-available GPS data of taxis actively on duty. It took the machine mere seconds to process data and come up with nearly traffic-free routes.

Cuantum Computing


Quantum computing can be used to power ML systems or AI platforms to improve, better understand, or interpret large datasets and calculations, ensuring speedier AI recommendations and outputs..


The most essential medium, connecting all of these elements, that ensures a transfer of data that is as fast as the computing capabilities

5G will ensure the seamless and speedy connectivity and transfer of data for M2M communication (IoT Grid and analytical/AI platform). Not only that, but it also provides scaling possibilities in the mobile network.

According to a report from MarketsandMarkets, the 5G infrastructure market will be worth $2.86 billion by 2020 and $33.72 billion by 2026, growing at a compound annual growth rate of 50.9%.


Example: Self-driving cars rely on 5G networks in order to access the speedy data connectivity necessary for smooth and error-free performance.



5G’s extremely high transmission rates enable all infrastructure and storage to be shifted to the cloud.

Cloud Technologies

With a surge in collected data and to power up AI and ML processes, cloud computing is the way to go for organizations to digitize their business completely

It’s not enough to think about a digital journey for end users: companies need to rethink all their corporate processes to be ready for this new era. Organizations already leveraging Cloud Technologies to transform their internal IT departments are simultaneously building a business-ready IT, capable of streamlining the development lifecycle and reduce time to market. This also allows the transformation of their organizational culture, by disbanding silos. Enterprises looking to bring digital transformation into their internal applications, without replacing them, will refract their core applications using cloud-native technologies, like containers. Others will be bolder and seek core SaaS-based multi-cloud technologies with new developing tools, integration, and deployment options.

According to Forrester, nearly 60% of North American enterprises today rely on public cloud platforms.


Example: A railroad system supplier partnered with a renowned cloud technology services company to centralize their data from multiple sources, stream it uninterrupted, and direct data flow to different systems as required. Together they developed a cloud-based application with the following components: an application gathering and normalizing data to a specific data model format, an analytics application displaying real-time information, and RESTful APIs that integrate business systems with the cloud application.

Intelligent Automation


Cloud Technologies enable rapid product and service innovation, as well as market readiness, through faster deployment. With quick, flexible scaling and integrating capabilities of fragmented systems, Cloud Technologies provide the foundation for delivering successful customer experiences and business efficiency.


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C1.Source: Adams, Susan. “Corporate Culture Matters a Lot, Says New Study.” Forbes, Nov 12, 2015. (accessed Nov 28, 2018).

C2. Bharatwaj, Shanthi. “10 Best Companies for Employees...and Shareholders.” TheStreet: Jun 17, 2010. (accessed Nov 28, 2018).


C4. Nov 13, 2018.


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