In order to keep up with or beat their direct competition, or perhaps stay ahead of the curve when it comes to innovation and revenue generation within their target industry, enterprises across the globe must follow emerging tech trends and adapt them in a timely manner.
To achieve this, companies need to enable a workforce that is fully distributed, they need to enhance customer service, streamline their workflows as much as possible to improve ROI, stay up to date with cybersecurity protocols, with a myriad of other similar updates that need to be taken.
The only road to this is through automation and accelerated digitization.
That said, let’s tackle some of the most prominent and evident tech trends that are likely to become the norm in the years to come, some of which most enterprises will have to embrace sooner rather than later.
Distributed Cloud is the Future of the Cloud Services
The distributed cloud model involves cloud services that are distributed across various physical locations, while the governance-related tasks, operations, and evolution are still being managed by the public cloud provider.
Distributed cloud enables enterprises and other end-users to have cloud services with lower latency due to the proximity of physical servers. This feature also helps with data cost reduction and assists with compliance with laws stating that data must remain in a specific geographical area. On the other hand, certain public cloud benefits still remain available to organizations as they are not managing their own on-premise cloud architecture, obviating overhead costs and unnecessary complexity of that process.
Computation Focused on Privacy Enhancement
Sensitive data is being used on a daily basis, especially within larger companies, which is why enterprises resort to using various additional means of data protection, including data masking, access control, email archiving solutions, information governance, etc. However, in this modern landscape wherein cyber attacks are evolving dramatically, we need to step up our data security game.
Privacy-enhancing computation involves an interesting and highly effective triumvirate of technologies that have a similar goal – to protect data when the data is being used.
The first type of tech has an objective to provide a secure infrastructure across which sensitive data can be managed, processed and/or analyzed. The second focuses on decentralized data processing and analytics, while the third focuses on the encryption of data and algorithms before the act of processing or analytics takes place.
This type of privacy enhancement allows enterprises to collaborate on research and data analysis in a highly secure manner regardless of their geolocation. The main goal of this approach is to significantly increase data accessibility without jeopardizing data privacy or security.
The Evolution of the Physical Workplace
If 2020 taught us anything it is that remote work is the future of the post-covid workplace. The physical workplace is ripe for overhauling, including new ways to track and measure employee productivity and wellness.
Though less certain industries are slowly but surely less oriented around the office, the employees still need a place where they can work more efficiently, while they also don’t want to exclude an opportunity to meet in person for meetings, team building events, off-sites, etc. The reimagined workplace of the future will certainly be centered around collaboration, streamlined workflow and teamwork, rather than working in a cubicle.
As we already mentioned in the intro, automation is permeating all industries and niches. Hyper-automation is the emerging trend that allows virtually any type of task to be automated. The trend is driven by the current need for automating legacy business processes that lack efficiency and are quite costly in the long run.
The companies are likely to jump on this hyper-automation train as more and more organizations are dumping legacy technologies that lack interconnectedness, leanness, optimization, cleanness, transparency, etc. Automation, on the other hand, enables enterprises to accelerate business processes in order to achieve higher levels of efficiency, business agility, speed and democratization.
Open Source Will Drive More Need for APIs
Certain tech giants – like Amazon Web Services – use servers that run on open-source OS like Linux. Open source is a wonderful concept that has been driving innovation for decades. Over the last several years, we’ve been seeing a comeback of sorts when it comes to the ubiquity of the open-source model as a plethora of huge A-list organizations have been built on open-source ecosystems and platforms.
The companies that drive their revenue through open source projects are en-masse providing cloud-based services that can be used through APIs. This API-based environment is also fueling a consumption-based pricing model that allows enterprises and other companies to pay for services in a scalable “pay as you go” manner. APIs are definitely here to stay.
Keeping up with your direct competition is the only way to survive in this modern overly saturated business landscape. In order to achieve revenue goals and proper scalability, adapting to new and emerging tech trends is a must.