Glen P. Riggs


AI has been the heart-throb since 2010, and the thrill remains fresh as a new decade emerges. The last decade witnessed the reality of machines outside the world of science fiction. The incentives transpire to be colossal for those merging AI-driven innovation into unexplored areas of industry, scientific field, and circadian life.

The innovative approach of amalgamating AI and virtual hackathons to fashion and initiate novel additions to an organization’s project marketplace is an exclusive enterprise that ought to be reproduced.

 The Increased Monitoring and Refining Business Processes

While the earlier robots employed at workplaces majorly carried out manual tasks like manufacturing and production lines, the present software-based robots have transcended to embark on the mission’s we humans implement using computers. The automation by machines have scrutinized our actions like filling forms, creating reports and diagrams, and initiating documentation and instructions are now discharged with an escalated efficiency and swiftness.


This process of robotic process automation will liberate us from the plodding of time-consuming administrative work conferring on us an opulence of time for complicated, aesthetic, strategic, and interpersonal undertakings.

 Heightened Personalization in Real-time

This trend is fostered by the prosperity of internet behemoths like Amazon, Alibaba, and Google. What makes them unique is its capability to implement customized recommendations and experiences. AI enables providers of goods and services to swiftly and precisely project a 360-degree glimpse of customers while connecting through online portals and mobile apps. This aids them in understanding how their prophecy can be suited for our requirements with top-notch accuracy.


Right, when you crave for your favourite pizza and Pizza Hut emerges with their order now button at that exact moment. There is no resisting; instead, there is solely indulgence. This is what every other industry will employ with the aid of AI – a luring personalized customer experience.

AI Alters into an Increasingly Useful Tool as Accurate Data is Furnished

A crucial impediment to businesses and organizations having the zeal for an AI-driven automated decision making faces the felon of substandard quality of information. At the same time, with the revolutionized technology and process of reproducing real-world mechanisms in the digital domain has bestowed the advent of factual data.

Simulations have advanced to a stage where it has engendered reduced cost and intensified quality of data. Therefore, 2021 will bear testimony to the magnified precision and vitality of real-world simulations, which will enkindle a potent and accurate AI.

Healthcare enjoys the stature of the most significant sector in the US economy, with $4 trillion spent annually on healthcare. When analysing government spending, nearly a quarter is spent on healthcare. Similarly, it accounts for 11% of all American jobs, thereby employing more people than any other industry.

At the same time, healthcare is the epitome of a severed industry while considering the US economy. This is an upshot of healthcare costs escalating beyond control presently, from $355 per individual in 1970 to $11,172 per individual in 2018. However, the appalling fact is that despite healthcare per capita being lofty than many other countries, the US ranks 38th globally when it comes to life expectancy. It is ranked between Lebanon and Cuba. When considering developed countries, access to healthcare remains harrowing in the US.


At this bizarre juncture, the entry of Artificial Intelligence engenders to snip the Gordian knot in order to refashion the healthcare sector. The symbiotic relationship between machine learning and healthcare is an impetus for this sector. The ethos of healthcare employs pattern recognition. When the homeostasis of the human body is disturbed, the utilization of a constellation of data points, including the latest physical symptoms, blood pressure, genetic composition, etc., can carve the story of a person’s health. The phenomenal impact of AI can be witnessed in the clinical, administrative, and pharma fields of healthcare.



Utilizing computer vision in medical images to identify health conditions is among the most popular use of AI in the healthcare sector. The object classification of determining whether it is a tumour or a skin lesion or something else is what deep learning is brilliant. Why would the industry require radiologists anymore because, within a span of 5 years, deep learning will outstrip the excellence of radiologists. Some of the noteworthy start-ups are PathAI, Paige, Zebra Medical Vision, and Caption Health.

Patient Intake and Engagement

Another field that will observe a transformation is patient intake and engagement – a crucial facet of the healthcare sector. The concurrent snowballing in technology has facilitated AI-based conversational interfaces that can succour patient screening and care navigation. To confer on patients, a compelling and relaxing care regimen AI can help communicate with patients on a quotidian basis.

This can engender a reformation in the healthcare sector by democratizing healthcare access by making expert health guidance available to all at an affordable cost and thereby negating the inequality based on economic status in the healthcare under the human interfaced healthcare system.

 Remote Health

The upsurge for the adoption of remote health was a sequel ushered by COVID-19. This method employs digital tools to provide the delivery of clinical services to patients.

AI in healthcare

Simultaneously, the pandemic has worked as a catalyst in promoting telehealth, which is on its voyage to being an essential pillar in healthcare delivery. According to McKinsey, around $250 billion of healthcare spending will be virtual in the following years in the United States alone. Remote health will be augmented with the entry of machine learning, an unrivalled blend.

Though we may not be on our escapade to Mars or commuting to work by flying jet packs, yet this year marked a deviation from rearranging the same chairs to a plethora of technological advances. While the core technologies remain the same fundamental ones in the collaborative digital reformation voyage, 2020 will be etched by an avant-garde class of technologies eager to step out from the side-lines to the cynosure.

At this juncture of the pandemic having flogged to death almost every industry, an analysis of technology expedite at lighting speed is a much-needed intervention.

 Covid-19 Pushing 5G Forward Faster

Swift connectivity has been a universal requirement, even if you are at home or in your workplace. The pandemic augmented this demand in the sprawling suburbs as swarms of people abandoned their suave workspaces and recreated at-home offices. Better networks became a prerequisite. Despite the virus, deployment was established. This has ushered many telecom companies to materialize their 5G implementation goal.

Verizon initiated a virtual lab to examine 5G deployment and unfurled 5G coverage across San Diego. China is also witnessing an upswing in 5G deployments. Presently, 60% of devices shipped by Qualcomm were 5G.

China already bears testimony to the 5G phenomenon where hospitals deploy robots powered by 5G to examine user temperature and various health applications. This technology has escalated in the wake of the pandemic transforming it into a ground-breaking technology of 2021.

 Wi-Fi 6 Approaching Soon

The ideal elixir is the coalescence of 5G and Wi-Fi 6 for securing ultra-fast connectivity for home and office. The download speed is anticipated to be three times speedy than Wi-Fi 5. In April, the FCC announced the establishment of the new band of spectrum for devices that can adapt this new-fangled technology. The advent of these devices is eagerly awaited later this year.


 Analytics Prove a Competitive Edge

Companies not possessing a hefty investment in analytics this year would be defunct in business by 2021. The utilization of big data and analytics observes a burgeoning growth trajectory, and the pandemic ushered a leap in this industry.

Companies like John Hopkins and SAS fashioned COVID-19 health dashboards. These dashboards compiled data from a plethora of sources, and this was handy in succouring governments and businesses to undertake decisions that safeguarded citizens and employees.

AI and Machine Learning that Powered Business Through the Pandemic

The recent explosion of the amalgamation of AI and machine learning has presented businesses an impetus to rely on technology for developing insights about their data. The added incentives of this collaboration are speed, scale, and convenience. The amplified growth despite the pandemic is a sequel to the enormous investment in AI.

Do you want to relish a career that is resilient and at the peak of its demand when across the globe, individuals and industries are writhing in pain engendered by the global pandemic and an abysmal economic recession? Your magic bullet is to become a data scientist.

This upswing is witnessed in the wake of a dreadful occurrence wherein the United States alone, and people witnessed layoffs of nearly 10 million in April alone. The aftermath is not restricted to lofty unemployment but has ushered business disruption, and most crucial is the significant dwindling in the global GDP growth.

At the same time, we observe a data science job market that is resistant to these economic woes with negligible layoffs and salary cuts.


Why is Data Science Job the Elixir in the Wake of a Pandemic?

The impact of Covid-19 on the data science and analytics community was examined by the joined collaboration of Burtch Works and International Institute for Analytics (IIA). The primary reason why the analytics team remains insulated is their commendable contribution to navigating the crisis. From March to May, 18.2% of organizations state that there is a dearth of proper analytics to address the issue of swift resolutions that the pandemic has facilitated. Therefore, 45% of the organizations maintain the analytics team as an integral part of the organization.

July had observed augmented hiring due to the Covid-19 crisis on organizations, as reported by 7.6% data scientists and analytics professionals. At the same time, 42.1% stated that they had not been affected by salary cuts, hiring freezes, furlough, or layoffs. In comparison, 35.7% responded that their team had been troubled by a maximum of one of these options, while 14.5% reported that the rumours on additional cuts are still looming in the air. The significant finding was that 67.7% of respondents were secure about their personal situation, and 64.4% were optimistic about their company’s stature.


The recent upsurge of AI applications employed tremendously by the healthcare sector, educational institutions, and governmental agencies has engendered a magnified demand for Analytics. It is also vital because of its optimising cost and diminished the dissipation of resources. The augmented AI spending will require the crucial role of data scientists for utilizing these automated systems.

The sole option of remote work has been a blessing in disguise for the analytics community as it has proved heightened efficacy and productivity. They are endowed with needed tools and platforms to perform their responsibilities.

The advent of intensified data will enkindle the demand for data scientists; therefore, unlike other industries, it isn’t a volatile sector. An efficient data science team is not an overnight task but takes years to fashion, and hence forfeiting your valuable staff is never an impressive idea.

Presently, Artificial Intelligence has evolved into the futuristic fad across the globe. The harmonious blend of AI and machine learning are deployed to observe collaborative business workflows, the phenomenon of automation, and witnessing intelligent conversational experiences. The digital workplace technologies have undergone an exemplary transformation for altering enterprises to be more informal and intellectual.

The embracing of AI facilitates a novel era of innovative conversational workspaces. We view a gaggle of technology providers responding to this transition with impressive product announcements – reforming workplace collaboration on the horizon by espousing AI.

 Big Buildings Progress Leisurely

The universal truth states that artificial intelligence will refashion the face of the entire world. The next few decades will expose a lucid and brilliant world. At the same time, the world of big office real estate will behold a sluggish growth. The real estate industry in London, New York, and Hong Kong revolves in cycles of 15 years, suggesting a prolonged lease period. These extended periods hinder innovation or investment in other services in between the renewals. In comparison, countries like Scandinavia have a shorter lease duration of three years, fostering a healthier working relationship.

 Bottom-up Demand

There is a melange of opportunity for AI to augment real estate, and the significant stimulus here is derived from the employees who work in office buildings, and it is not the developers who create and build them. The employees, the actual users of the building, will invite AI into numerous facets in their life unknowingly in the near future. Their expectation will heighten equating similar convenience and efficacy at workplaces, just like at home or when travelling. The metamorphosis at workplaces is ignited by innovative technology and spearheaded by workforce demands for resilience, connectivity, security, and design.


RPA and Helpdesks

You can now spice up your banal office interactions – making it smoother and more efficient by utilizing robotic process automation (RPA). The IT helpdesks should be appreciated for resolving your problem with a unique solution so that you would not come back with the same query a week later, and not for presenting immediate solutions that do not consider a long-term answer.

The Ideal solution is never a spreadsheet-driven efficiency, but the customer satisfaction is doubled in terms of a face-to-face helpdesk than service delivered over the phone.

 Predictive Maintenance

Rolls Royce employs the technique of predictive maintenance, and this enables them more remuneration and not selling engines. This process deploys sensors in the engine that transfer a vast volume of real-time data about each engine component. Therefore, in case of any faulty operation, they can have a relevant spare part even before the problem materializes. Soon AI will engender this working at the workplace too.