Predictions for Cloud Computing in the Year 2020
The consistent growth of cloud-based solutions in recent years has been extraordinary. The administrative and financial benefits of the cloud are undeniable for businesses of all sizes. Innovation has been a hallmark of the cloud industry in the last decade, and the following are some predictions for what is to come in 2020.
On-Premise IT Will Continue
A percentage of organizations continue to be hold-outs as far as switching to full cloud migration. Data security is, as always, the primary reason companies continue to maintain their own data centers. The day may come when on-premise cloud solutions are obsolete, but it won’t happen in 2020.
Containers Will Have Self-Debugging Capabilities
There are currently high rates of vulnerabilities and glitches within cloud container images, where common resources are shared by many cloud-based applications. We can reasonably expect that in the coming 12 months, container management tools will be fully enhanced. They will be capable of analyzing, identifying, and debugging container images, which will, in turn, optimize cloud applications.
Artificial Intelligence (AI) and Machine Learning (ML) will have Explosive Growth
Cloud Service Provider (CSP) state-of-the-art data centers are processing mammoths. For a while now, cloud tenants have been encouraged by CSPs to execute processor-intensive workloads over the cloud. Such tenant participation creates an environment for implementing artificial intelligence (AI) and machine learning (ML) algorithms. In turn, countless tech-powered processes will be immensely streamlined and optimized. Across numerous industries–including insurance, health, and finance–the cloud will become a catalyst for AI and ML-based solutions.
Security Will Maintain its Relevance
In spite of astounding expansion, the troubling trend of data breaches has, to an extent, impeded the growth of cloud solutions. What will take shape in the next year in the realm of cloud-based solutions is that security will be the defining criterion for choosing a CSP.
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