Latest Trends in Data

Many years ago, collecting and managing data was something only large-scale businesses could afford and utilize. 

But since the inception of data management tools like the internet, cloud technology, and artificial intelligence, businesses all over the world have leveraged data to improve their productivity and satisfy their customers.

Like other branches of technology, data science is constantly evolving and improving. And if businesses are going to fully maximize it, they must endeavor to keep up with the latest developments.

Naturally, every new year presents its own set of trends in data science—but what trends are popular this 2020?

Machine Learning

Instead of the ongoing pandemic, machine learning has provided accurate insights regarding the spread of the coronavirus, which would have been difficult to achieve using another method. 

The good news about this AI technique is that it isn’t limited to the health sector alone: it can easily be applied to other data-driven industries.

As machine learning continues to improve, and AI becomes increasingly transparent, businesses will gradually automate all their data-related tasks. In the long run, this will help them get faster results and improve their overall efficiency.

Cloud Storage

In 2020, more businesses are expected to start using cloud-based platforms to store data and execute various other computing tasks. 

While these platforms are well designed for handling massive amounts of data, this must be balanced against the fact that migrating to the cloud is usually a complex, time-consuming process.

But don’t let this discourage you if you run a data-driven business. From cost optimization to unlimited storage space to a strategic edge over your competitors, the benefits of cloud computing undoubtedly outweigh its disadvantages.

The Internet of Things (IoT)

Thanks to the Internet of Things (IoT), modern smartphones and other smart devices have integrated various AIs that are easily accessible and can automate specific tasks. This explains why more businesses are investing in this technology. 

In this current data age, the consistent advancement of IoT plays a vital role in diverse industries. It is making it easy for different kinds of devices to interact with one other and make decisions without the intervention of a human. 

Augmented Data Management

Augmented data management uses artificial intelligence and machine language to improve various operations by collecting data, analyzing it, processing it, and, finally, converting it to meaningful insights. This can then be used to suggest decisive actions for your business

Essentially, augmented data management makes for a smooth and seamless data processing experience. With the rate at which data technology is advancing, augmented data will soon completely replace manual data in being the go-to option for data-driven businesses. 

Therefore, if you run a business that mostly deals with data and analytics, now is the perfect time to leverage reliable data center management services. 

Conversational AI

Smart chatbots and voice-enabled devices are on the rise. Conversational AI is a branch of artificial intelligence that enables people to interact with mobile devices, apps, and websites in a natural language. 

This technology is a win-win for everyone as it facilitates smooth interaction for customers and helps enterprises to build a more robust connection. 

Daniel Odoh
Daniel Odoh

A technology writer and smartphone enthusiast with over 9 years of experience. With a deep understanding of the latest advancements in mobile technology, I deliver informative and engaging content on smartphone features, trends, and optimization. My expertise extends beyond smartphones to include software, hardware, and emerging technologies like AI and IoT, making me a versatile contributor to any tech-related publication.

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