Few technologies have had more of an impact on the commercial sector than Cloud Computing. 7 new Cloud Computing trends for the future are discussed in this article.

According to a Gartner report published in 2018, cloud users will double by 2021, while the market for this technology will rise from $153 billion in 2017 to an anticipated $302 billion by 2021. According to Gartner, around 90% of enterprises will employ “cloud” services by 2022. (according to another study). Furthermore, according to LinkedIn research, Cloud Computing skills are the most in-demand by employers in every area right now.

The enormous success of this technology can be attributed to several factors.

Relying on a cloud service provider in on-demand mode lowers costs ranging from the acquisition of one or more local servers (and the associated management and maintenance costs) to software and cyber-security.

Then there are the benefits of flexibility and scalability that Cloud Computing solutions can provide for almost every type of business, from established corporations to developing start-ups that need to scale up data collecting and operations in a matter of months.

Let’s not forget about basic concerns like security and dependability. On these delicate problems, the finest cloud providers provide key guarantees. We concentrated on the primary advantages of Cloud Computing platforms in this article. Now we’d want to take a peek ahead. In this article, we’ll look at the seven most important Cloud Computing trends that are on the horizon.

Multi-Cloud and Hybrid

What is a Hybrid Cloud, and how does it work? Without getting too technical, a hybrid cloud is a Cloud Computing system that makes use of both public and private clouds, as well as third-party technologies. The logic of on-demand, pay-per-use, and Software as a Service (SaaS) are all utilized in this fashion, all to a greater extent.

The result is machine and resource management that is completely dynamic, scalable, and flexible. Even more importantly, the hybrid system facilitates a high level of “personalization.” Each organization creates its optimal mix, as unique as feasible and constructed “to order,” based on its traits and requirements (see trend 6 for more on personalization).

This, of course, has a good effect on productivity. It’s no surprise, then, that the use of Hybrid Cloud solutions climbed by 7% in only one year, from 2018 to 2019. (source: RightScale). Furthermore, 58 percent of businesses currently employ a hybrid cloud computing strategy (also according to RightScale).

The Multi-cloud is similar to the Hybrid in that it involves the integration of many Cloud Computing and data storage systems into a single IT architecture. Multi-cloud systems might be built solely on public systems, solely on private systems, or, finally, on a hybrid system mix.

There are no servers.

One of the key Cloud Computing developments is “serverless,” also known as FaaS (Function as a Service).

First and foremost, don’t be fooled by the name: upstream of everything, one or more servers for processing operations are always required. The ability to run programs without caring about the underlying infrastructure is the actual innovation of these systems. To put it another way, provisioning, scalability, and server administration are all handled automatically, providing huge benefits in terms of flexibility and performance.

Amazon (AWS Lambda) introduced the first serverless model in 2014, and Microsoft, IBM, and Google quickly followed with their serverless offerings. In 2018, 21 percent of businesses employed serverless solutions. Serverless expanded by nearly 75% last year compared to the prior year (source).

New Disaster Recovery and Backup Systems

The effectiveness and elasticity of backup and disaster recovery systems are one of the most essential benefits of cloud computing (a term used to identify all recovery measures relating to data, systems, or infrastructures).

According to a recent Spiceworks analysis, 15% of the cloud budget is spent on addressing this basic component.

As a result, all major cloud service providers (public, private, and hybrid) are putting in a lot of effort in this area.

Artificial Intelligence and Big Data

Combining Cloud Computing and Big Data analysis yields huge benefits and improves both technologies’ effectiveness.

In this regard, we recognize the importance of implementing Artificial Intelligence systems to better interpret the vast and varied amount of data useful for improving all business processes (both those aimed “inside” the organization as well as those aimed “outside” the organization, ranging from marketing to purchasing departments, sales, and Customer Service).

The combination of Cloud Computing, Big Data gathering, and subsequent interpretation through Artificial Intelligence systems must be thoroughly investigated and, above all, calibrated to measure, based on the goals and objectives of each firm.

In this essay, you’ll learn more about the benefits of combining Big Data with Cloud Computing platforms.

Internet of Things (IoT)

Having “things” connected to the network allows you to store a vast quantity of data in the cloud, which is often highly precise and important (and was previously unavailable).

IoT and Cloud Computing technologies, for example, can be highly valuable for monitoring a company’s production processes to uncover inefficiencies and look for ways to improve them.

But that’s not all: the Internet of Things can be useful in establishing user interactions; consider how much data can be collected by corporations in the utility industry using network-connected counters. This information is useful not only for businesses but also for customers. All of this adds up to a potential rise in revenue as well as increased consumer loyalty. And that’s simply to give you an idea.

Personalization of Experience

On all fronts, cloud computing almost inexorably leads to personalization. Shortly, one of the most important Cloud Computing developments will be personalization.

Upstream, it is possible to create a software and infrastructure ecosystem that is specifically tailored to each organization (and that can vary over time, adapting to new needs). In Hybrid Cloud and Multi-Cloud systems, this is an even more relevant prospect.

However, further downstream, there is the possibility of using the cloud to collect as much data as possible (as we saw in point 4 above); but, above all, significant data (so-called “Deep Data” or “Smart Data”), which can be used to personalize all customer contact operations, from marketing to Customer Communication (to the latter we have dedicated this other article).

Cybersecurity Orientation

As the use of Cloud Computing platforms grows, so does the risk of security breaches. This is a critical and delicate point that deserves the utmost care (both from providers and from companies that use their systems).
The implementation of GDPR (General Data Protection Regulation) in the European Union has heightened the importance of cybersecurity.
This isn’t a minor issue. Only 12% of IT firms, according to a recent Commwault poll, truly grasp how GDPR would influence their cloud services.

Again, experienced Cloud Computing service providers who are up to current on the newest regulations, software updates, and security features are essential.