The pandemic forced government agencies to adapt rapidly. During the past 12 months, government IT companies are working on enabling remote work, implementing cloud migration and digital transformation projects, and securing an ever-developing perimeter. Yet while 2020 ushered insignificant change from a federal IT perspective, it’s merely the start. Mega technology trends like elastic cloud computing, big data, AI, and also the internet of things are converging with climatic effects before the pandemic increased adoption.
The forced mass shift to remote work simply sped up a change that was already underway. As a result, the displacement that started in 2020 will snowball in 2021 and beyond. Here are five tech trends that every federal IT pros should wear on their radar.
Artificial Intelligence (AI):
AI is undoubtedly one of all the largest tech trends at the instant, and in 2021 it’ll become an excellent more valuable tool for helping us to interpret and understand the globe around us. The quantity of information we are collecting on healthcare, infection rates, and also the success of measures we want to prevent the spread of infection will still increase. This adds up to that machine learning algorithms will become better informed and increasingly sophisticated within the solutions they uncover for us.
For businesses, the challenge is to know the changing patterns of customer behavior. More acts will happen online –shopping and socializing to virtual working environments, meetings, and recruitment. In 2021 we will expect the tools we use to investigate these behavioral shifts
Automation moves out of the back office and into citizen-facing applications:
Before the pandemic, they reserved the automation for back-office tasks like approving or sending invoices. With government employees forced to figure remotely, however, it’s become increasingly common for citizen-facing applications to use automation behind the scenes. Not only has automation kept staff members safe during the pandemic. It is improving the productivity and efficiency of countless citizen-facing services.
Without such tools, as an example, people wouldn’t have received unemployment checks or food stamps during the pandemic. Whereas those processes previously required human interaction. In 2021, even more, automation will power the citizen-facing applications. Agencies can automate the primary step in many citizen requests. For example, catching if a signature is missing on a form and sending it back to be corrected.
Globally, healthcare will be renowned for being a slower-to-adjust industry, but after being so massively accelerated over the past year because of Covid-19, innovation has not become an option but a necessity.
The coronavirus pandemic has shifted the main focus towards healthcare and therefore the differing types of technology trends that may assist within the current situation and in future healthcare crisis scenarios.
There are huge investments into robotics, computer science, online consulting, and other services for improving the patient and healthcare experience. The implementation of those proven technologies allows healthcare providers to not only better internal operations but also the patient experience. In the US, patient experience is getting a link to net margin increases of over 4% in high-performing Hospitals. So, healthcare providers must look to those new technologies that allow them to regain trust.
The government’s data analytics capabilities will mature and move toward predictive analytics:
Agencies should use the explosion of processing power and data volumes to integrate predictive analytics into their workflows. Humans will always be a part of the decision-making process. But predictive analytics will become more powerful and reliable within the next year and beyond.
The Department of Agriculture, for example, has turned to predictive analytics to assist farm, forest, and ranch managers make sustainable decisions. Additionally, predictive analytics is helping the Department of Defense anticipate when there is a need to replace the machine parts, which helps vehicles maintain the next level of uptime. In 2021 and beyond, use cases for predictive analytics will still grow.
Occupancy management automation:
Grocery stores, retail stores, and restaurants are all businesses. That requires staying a watch on the number of tourists in and out of their venues to enhance the protection. Also reassuring them that it’s alright to return in stores and other indoor venues.
Venues that had initially started by manually counting people in and out soon became attentive to its inefficiencies and quickly looked to technology trends that might assist them. Many businesses have opted for platforms that automatically count the number of holiday-makers.