TechMediaToday
Data science

Top 6 Data Science Trends in 2020

Data Science Trends in 2020

INTRODUCTION

Data science covers a vast network of topics under its umbrella including Deep learning, IoT, AI, and various others. It is a combination of data inference, analysis, algorithm computation and technology to solve multifaceted business problems. According to a survey by Statista, the Data Science market is set to reach $103 billion by 2023.

With the growth of Data Science interest between organizations and developers, you must be thinking “What will be the next trend in Data Science?”

Data Science is a rapidly growing field with a substantial rise in its tools and technologies. In this article, we are going to see the new Data Science Trends.

1) Blockchain

Data Scientists are loving the blockchain technology, the reasons for this is that, previously, Data Scientists were unable to share, authenticate and secure data integrity with large amounts of data.

Thanks to Bitcoin for being overly hyped the blockchain technology got lots of recognition and now Data Scientists can securely share their data. Many companies like IBM and Walmart have experimented with Blockchain and confirmed that they work.

Blockchain technology

2) AI-powered Smartphones and Apps

The smartphones are becoming more and more smart with Artificial Intelligence. Most of the apps are leveraging the concept of Artificial intelligence and enhancing user experience. AI was already behind the facial recognition in cameras but now AI is also being used to improve the images.

You don’t need to be a skilled photographer with knowledge of ISO, shutter speed, etc to take an amazing photo. AI will help you by automatically adjusting these settings and you can take professional-looking photos from your smartphones. One day the smartphone cameras will make DSLR obsolete.

Explore The Future of AI – Feel Special, ‘coz we’re in the era of Artificial

AI-powered Smartphones and Apps

3) Internet of Things (IoT)

In the world of the Internet of Things, several sensors from devices generate real-time data. Data Scientists are upskilling themselves to comprehend the IoT data in real-time. With IoT we can not only improve business solutions, in fact, we can also solve real-world problems and create a better world from the statistics of the environment.

Also Read: 5 Ways the IoT is Transforming Supply Chain Management as We Know it

Smart Homes is an amazing example of the IoT revolution which will change the way you live. It provides you with a stress-free life by automatically handling daily life activities. You can control the room lighting, room temperature and monitor your home from anywhere with your smartphone.

4) Dark Data Migration

Dark Data is the data that have been collected and stored on the internet but have never been used again. IT people have no idea if the data contains if the data has some valuable information or not. Therefore it is being accumulated and can become a threat in the future.

However, the data is being migrated on the cloud and organizations are storing this data in order to one day process and analyze dark data.

Dark Data Migration Data Science Trends in 2020

5) Machine Learning experience Automated

The technology is continuously evolving and changing. The use of machine learning has increased in recent years and the developers are required to have extensive knowledge about machine learning and programming to build solutions.

Now developers are developing tools that can automatically build machine learning solutions without much human intervention. The Nanonets startup has automated the process of training and deploying the model for production use.

Machine Learning Data Science Trends

6) Edge Computing with Quantum Computers

Quantum computing promises exceptionally great processing powers. The quantum computers work on the probability of an object’s state, it is not limited to 0 or 1 and that is why they are capable of processing more data than classical computers. A Quantum supremacy will be achieved when quantum computers will outperform classical computers.

Recently Google has claimed to achieve quantum supremacy as they performed a calculation in 200 seconds that would have taken 10,000 years on the world’s most powerful supercomputer which is IBM Summit. However, IBM is debating its claim and says it takes at least 2.5 days to perform the same calculations.

Data Science Trends in 2020

Endnote

Data science is transforming all the industries and you can see it’s applications in all the sectors. We explored the different Data science trends in technologies like blockchain, IoT, new tools for machine learning automation and AI-powered smartphones. Some trends will take time to cultivate from an initial stage to leading the way in the future.

Learn something which is most demanding coz –  The future surely belongs to Data Science.

Related posts

Why Data Science Term Getting Peak For Business Services?

Melissa Crooks

What it takes to be a Data Scientist

Rahul Patodi

What is the Difference Between Data Science and Big Data Analytics?

Niti Sharma

What are the Challenges Addressed by Data Lakes?

Team TMT

The Growing Importance of Data Science

Team TMT

How to get a job in data science?

Team TMT

Leave a Comment

This site uses Akismet to reduce spam. Learn how your comment data is processed.

This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish. Accept Read More