Edge computing will become even

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We can expect to see growth in serverless computing, where the unit of measurement is not a full server, but a workload, module, or application. Serverless computing reduces the need for infrastructure because modules are executed only when needed, without the need to run a full virtual machine or even a container. If an application has a wide range of workloads, serverless solutions can provide both cost savings and load management.

more prevalent in the next few years. Edge devices will become more powerful, but also more demanding in terms of processing large amounts of data in real time and sharing it across the organization for analysis and insights.

Edge devices are expected to become more connected and more unattended. As they become more powerful and intelligent (AI and ML will play a big role here), they will be able to perform more functions in areas with limited or intermittent connectivity, or in extreme weather or environmental conditions.

This is where 5G (and eventually 6G) comes into play. 5G is better at handling intermittent connections, with the ability to hop frequencies and “beamform” to reach areas that traditional finland mobile database can’t. 5G also has a lot more intelligence at its disposal, significantly reducing latency, allowing edge devices to communicate with the “mainland” much faster and with much greater responsiveness.

The Rise of AI in Cloud Management
Growing reliance on complex cloud environments will lead to increased management complexity. Here, AI can help in at least four ways:

Automate routine tasks. There are a huge number of basic IT management tasks, such as resource allocation and scaling, that can be managed by AI. Anywhere a script can be, there can be an AI. Expect it to get to the point where setting up an AI takes less time than writing a script.
Data analysis: Whether it’s customer usage patterns, sentiment analysis, workload impact on resources, or many other areas of observation, AI can provide insights into network performance and customer behavior to improve reliability and identify opportunities.
Improved user experience. AI can be expected to provide first- and even second-tier customer support via chat and email. On the one hand, this puts users in the hands of machines, but at the same time frees up human technical staff to help solve more complex customer issues.