Top 10 Big Data Trends to Follow in 2021 and Beyond

2020 wasn’t a good year for most of us for reasons quite obvious.

But, it was also a year that saw dependence on technology like never before.

This year has seen us relying on technology like never before.

The retail sector, e-commerce, and working from home have seen huge technology dependence.

2020 saw a lot of changes and improvements, especially on the technical front.

So far, AI, machine learning, cybersecurity have all changed our lives for the better.

Because of this that 2021 is no less than an opportunity for big data trends to grow to newer arenas. 

What trends could one expect in the coming year? It’s tough to talk about one.

AI, data science, intelligent machines, NLP, among others, could see increased implementation. 

After the pandemic, the realization that data is a critical part of all organizations is for real.

And this is something that will form a base for the upcoming trends. Now that the pandemic has changed our perspective of looking at things.

Let’s have a look at what could be the big data trends we could see in the year 2021

Automation and intelligent machines will play a pivotal role

It is likely to see greater adoption of chatbots and AI-driven NLP bots.

It would be a step towards increasing interaction with the customers.

One can also expect to see advanced adoption of robotic process automation, ML, and AI. 

Data analysis and modeling are gaining importance with every passing day.

Robotic Process Automation (RPA) will help automate activities like data collection and processing.

All this would aid in providing a quicker way of using data. 

Dependence on the cloud for deployment

The coming year will see a huge demand for cloud AI engineers.

Because of their ability to deploy AI models at scale on the cloud and integrate them with IT systems.

Now is the demand for a robust remote workforce. And this need for adopting new technology throws light on the cloud.

Non-critical and departmental analytics have already shifted to the cloud.

Now, it is very much likely that the current investments also follow the same path.

Prioritizing workloads that can exploit cloud capabilities and focus on cost optimization is the need of the hour.

Hybrid cloud

The coming year could see relying on the cloud-like never before.

On the same lines, it is possible to see a hybrid cloud, a combination of public and private cloud, into action.

With this, a business can enjoy greater flexibility. Wondering how?

By moving workloads between cloud solutions as and when there is a change in the needs and costs.

This cloud has a lot of features in store to offer.

Some are greater infrastructure efficiency, improvement in developer productivity, strengthening security.

Hence, its implementation by organizations across the globe can see a spike.

Insightful data

Data plays a pivotal role, especially on the technological front.

The data obtained is raw and needs processing to make it useful.

Certain mechanisms can aid in smoothening the process and lessen the time consumed.

Every possible method to make data even more useful would be employed in the days ahead. Improvements in data collection, data integration, data visualization, and analytical modeling are likely.

All this would ease out the entire process.

Data marketplace and exchange

No wonder data is exchanged and also sold between various platforms.

Going by these big data trends, 2021 would see accelerated growth in cloud & data science deployment.

AI, machine learning, and deep learning will also see varied applications.

Hyperautomation

Hyperautomation, the application of technologies like RPA, AI, ML, and Process Mining, has seen usage in the past.

It will scale up in the years to come, as predicted by a couple of industry experts. 

Migration of dark data

There is information out there that hasn’t been digitized so far. It is dark data. It could see being digitized in the coming year.

In contrast, it is a trend that will be on the up as it has a huge untapped potential for predictive analysis.

It will further aid businesses in their journey of growth.

Quantum computing

Quantum computing can make huge data computations. All this in an insignificant amount of time as well.

Big tech giants like IBM, Microsoft, and Google have already opted for this. And the upcoming year can see more companies opting for the same.

Decision intelligence

Upcoming days can see analysts practicing decision intelligence, including decision modeling.

It would include a wide range of decision-making techniques. It would bring together traditional and advanced methodologies.

2021 can see the implementation of the same to yield the desired results.

Cybersecurity

Cyber-attacks are increasing. They might even become severe and frequent as compared to what’s experienced so far.

It is why cybersecurity would gain even more importance in the days ahead.

AI and Machine learning would play a critical role in detecting such attacks at early stages.

Also, it is possible to prevent them from spreading. 

Conclusion

Data is massive, and there’s no limit to the predictions made by industry experts.

Taking into account the history, it is possible to come up with big data trends.