Top Trends for Big Data and Data Analytics in 2020 and Beyond

Data has become the new fuel for most industries, and future innovations are mostly propagated from the data analytics and data-centric algorithms and technologies. Big Data plays a significant role in all data-centric innovations. All experts agree on the prediction that the dependence on data technologies will continue to increase in the coming years.

Though Big Data analytics is already there as the most promising technology field to push data-driven innovations, in the span of the past few years it underwent several massive changes thanks to a host of emerging technologies such as artificial intelligence (AI), Machine Learning (ML), In-memory computing and several others. Now software/web and mobile app developers in Chicago and across the world in every niche have no choice but to remain updated with these new trends.

Let us unveil and explain the top Big Data trends to dominate 2020 and beyond.

The Push of Machine Learning for Data Analytics
For data science tasks, the incorporation of Machine Learning technology has a profound significance. The infusion of Machine Learning is expected to bring the power of automation to data analytics. By 2020 we can expect a considerable portion of the data science tasks to be automated with Machine Learning and AI-driven tools.

Apart from providing the ease and sophistication for the system, Machine Learning based automation coupled up with smart data analytics tools will be able to unveil insights that even expert data scientists can find it hard to extract.

The merger of IoT with Data Analytics
IoT devices are already in rage to give all faces of life the benefits of connected reality. Thanks to the proliferation and increasing use of IoT devices in our day to day life, the data analytics tools are also increasingly getting sophisticated and more productive with new types of data-laden with different customer insights. By 2020 it is expected that several billion IoT devices and gadgets will deliver more user data for data analysis.

So, IoT is expected to play a more significant role when it comes to supplying insight-rich data to data analytics tools. In all large organizations where already IoT devices play a significant role in operation and processes, leaders and strategists are looking forward to the untapped potential of utilizing the assistive data analytics tools to utilize the IoT data in the process.

If you still had any confusion then read the full article here: Top Trends for Big Data and Data Analytics in 2020 and Beyond or let me know, I would love to solve your concerns.

smithjasson

I am an app developer with marketing experience that helps me to reduces the overall cost of mobile app development and marketing expenditure.

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