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.
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.
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.
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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.
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.
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.
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 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.