Evolving Technologies in Data Science

In our previous article, we touched upon the basics of data science. I would suggest giving that article a read before starting on this one if you wish to have an understanding of the popular term.

Moving forward to today’s topic, let me quickly revise our knowledge of what data science is.?

Data science is a field of study that helps us extract value from piles of structure and unstructured raw data which companies can utilise to make important decisions.?

Data science is everything in between collecting and presenting raw data in a visual presentation so the hidden patterns and values can be identified easily and worked upon accordingly.

Data Science decodes crucial information from available data, which helps businesses abundantly. Therefore, the field is so much in demand and it is also considered to be the sexiest job of the 21st century.?

Now that we have basic knowledge of data science, let us move towards today’s article topic, which is evolving technologies in data science.

Today we are going to address 3 evolving technologies in data science that are changing the world the way it used to operate rapidly.

1. Cloud Computing:

If we need to understand cloud computing in one sentence, I would sum this up as using computing services like storage, servers, databases and software over the cloud (read internet). Cloud computing approaches like service (SAAS), infrastructure (IAAS), and platform (PAAS) have made it possible. Cloud computing has also made it more affordable to obtain services and storage over the internet.

1. Artificial Intelligence:?

Artificial Intelligence (AI) has grown rapidly in businesses and in our day-to-day lives. From collecting data to driverless cars, AI has brought innovative approaches to help us see a visual of tomorrow today. Business’s response to artificial intelligence has grown so much that today AI is also available as a service to people. I have written a post on AIAAS (Artificial Intelligence as a Service). You might want to check that out as well.

1. Augmented Reality and Virtual Reality:

If you think you are reading the terms for the first time, I would comment that you might not have. These two terms are popularly known as AR and VR, and they might have come across you before. AR is like seeing the live elements on your screen. A big example of this is your mobile phone camera. Whereas VR requires a headset to give you glimpses of virtual reality,

AR has been adopted by the world, but VR is still in its initial stages, which is rapidly making a difference. Metaverse, which has recently been introduced by Meta (Facebook’s new brand), has focused on AR and VR technologies to make long-distance less long and so people can connect closely.

I will come up with a detailed post on Meta in the coming days along with AR, VR, MR and XR (the reality suite) to give you a detailed analysis.?

Conclusion

Data Science is going to achieve greater success in the business world with the help of evolving and emerging technologies. Data Science is making sure to bring the most values that can lead to customer satisfaction and business’s success. That was all for today’s topic. I hope you have a good time reading this post.