In 2017, investment in cloud computing will continue to be hot, but as the needs of enterprises change, the cloud market in 2017 may have the following five major trends.
The five major trends in the cloud computing market forecast in 2017 may be presented
Multiple clouds will become the new normal
As many companies invest in public cloud and private cloud services, more companies will commit to multiple cloud providers in 2017 at the same time. For example, fewer and fewer companies will use Amazon Web Services as their sole business, but instead use dual-source public cloud services to avoid vendor lock-in. The benefit of this is to make data services more efficient. Without this feature, enterprise deployments will be as inefficient as when using tape.
Memory and temporary storage become more important
Enhancement and virtual reality, artificial intelligence and machine learning have become more and more popular. Analysis of these new data sources is critical to long-term business goals, but long-term storage of data is impractical and unnecessary when the results of the analysis are more important than the data itself. Although a large amount of data growth will be seen in 2017, which requires permanent storage, most of the new data generated by the network is short-lived and will soon surpass its usefulness and be discarded. Therefore, although the amount of data grows exponentially, the growth of storage space will not be as much as we expected.
More content delivery network
Content delivery networks are the main cause of inaccessibility and low performance. Alternatives have become one of the expensive and complex supplier solutions. More companies are expected to build and operate their own CDNs using public cloud and software-defined infrastructure. While these DIY CDNs do not offer a full-service solution, they will provide a leaner, less expensive solution for the old legacy architecture.
Machine learning will become the core of the enterprise
What makes today's machine learning technology unique is that it comes mostly from "open source." This means that many different products and services build machine learning into their platform. Therefore, more companies will adopt machine learning in 2017, and they may not know why they want to learn. The answer is that suppliers are actively using ML to make their products smarter. And existing products will soon be available in a variety of machine learning, with updates as an additional delivery.
More and more companies use metadata as a new source of revenue
Systems like those used in Google or Facebook are designed to collect and store large amounts of metadata. As companies become more capable of analyzing data, data realisation will become increasingly important. Netflix has successfully analyzed the commonality of customer data. Meaningful metadata, especially metadata that has been stored for a long time, can also be the focus of analyzing new products that vendors sell.
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