Big data trends to forecast in 2020


The growth of big data has proved that technology has experienced a big leap and everything is now being influenced by big data. Even business decisions are made depending on big data. Today, people consider big data analytics an important way to gather Business Intelligence. A lot of current entrepreneurs, especially online ones, have regarded big data as an inevitable part in their business operations. They always look for modern methods to renew their big data usage and to make the most out of it.

In this new year, there will be some methods and tools which are more ubiquitous than others. There have been new technologies releasing for the market while others are fading away.

  1. Streaming the Internet of Things for machine learning

Nowadays, it is not difficult to see a lot of methods taking advantage of the Internet of Things in order to link Streaming Analytics and Machine Learning together. In this year, we are expecting to see deeper discovery on this term.

In general, machine learning makes use of data for training in a managed learning environment. In the upgraded version, streaming data will offer users valuable information from the Internet of Things so that machine learning can be provided in real time. The major purpose of this method is to deal with a lot of different cases in a more flexible and suitable way.

Shifting from the old model making use of a highly controlled environment and restricted training data to a more open training system will ask for a bit more sophisticated algorithms. After that, machine learning will train the system to predict the results accurately. Because the main model changes and develops, the models in the cloud should also keep up with the changes as well.

In the future, we are going to see more companies pay attention to computation when it comes to data flows instead of just processed data.

  1. Artificial Intelligence Platforms

Big data, which is made use as a method for exploration, keeps on developing and growing with a lot of remarkable advantages. For instance, recently we can see the benefits provided by AI platforms. These platforms are expected to considerably influence technology. Taking advantage of AI platforms for big data processes has improved technology very much when it comes to the efficiency of Business Intelligence. More precisely, Artificial Intelligence can suggest and predict the outcomes so that businesses will know how they ought to manage their campaigns.

In 2019, AI platforms will be so ubiquitous. They would be made to operate more effectively compared to the old frameworks. As an artificial intelligence platform is made to be so effectively, it will offer users quicker and more convenient methods to communicate and contact other colleagues. Thanks to this upgrade, the spending can be cut suitably and economically. More precisely, users can cut the costs spent on automating basic tasks and can remove time-wasting tasks like copying customer profiles or processing data.

Another advantage of artificial intelligence is that it can also offer data governance, by which data experts and staff can get best practices. Thus, artificial intelligence technology will be vital as it is able to help make sure the assignments can be done fast and smoothly. There are five platforms of this technology to be managed in five logical layers.

Firstly, the layer called Data and Integration will provide users with approach to the data. The second layer is the Experimentation, which will allow data experts to improve, check and define their hypothesis. Another layer is the Operations and Deployment, which assists both model governance and deployment. The Intelligence layer can help manage and transfer intelligent services while supporting the technology. The final layer is Experience, which is created for users to communicate via using such technologies as augmented reality or gesture control.

  1. The Data Curator

What is more, in this year, a lot of companies will appreciate Data Curator. The major purpose of data curator is to connect the need of controlling the data of companies to protecting data and governing data. Thanks to data curators, data will be both controlled and maintained so that users will define how they should work with the piles of data. Also, data curators are designed for presentations so that the data will be shown under the format of dashboard, chart as well as slideshows.

The data curator communicates with researchers as well as arranges the workshops for educational purposes. The data curator also interacts with other ones to cooperate if suitable.

In addition, the data curator takes the responsibility of knowing what types of analysis are needed in the companies, what kind of data is suitable for the project and which steps should be taken to complete the goals. Last but not least, the data curator takes advantage of such systems as self – service data platforms to develop the process of offering customers approach to important and necessary data while there is no need for duplicating anything, which is really time – consuming and takes much effort.

  1. 2019 is not the year of 5G system

Moving to release the fifth generation of system is so costly and also brings about a lot of problems. It may be not the spending that will prevent the release of 5G in this year but it could be its issues.

Even though the government has already supported the installation of a 5G system, some other communities haven’t.

  1. Hybrid clouds are going to become more ubiquitous in the year

As you can obviously see, clouds, especially hybrid clouds, are becoming so popular and in 2019 they continue maturing, too. When a company hopes to secure their data in their own data center, the hybrid system can provide necessary tools and advantages so that it’s worth paying for this kind of cloud. To sum up, hybrid cloud connects a private cloud of the company with the rental public cloud in order for business players make the most out of both clouds.

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