What changes and transformations await the industry in 2020? Let's consider 4 main trends.
Companies across the world and across industries are undergoing what’s known as digital transformation. That is, companies are taking traditional business processes like hiring, marketing, pricing, and strategy and using digital technologies to make them 10 times better.
Data Science has become an integral part of these qatar number data transformations. With Data Science, organizations no longer have to make important decisions based on intuition, best guesses, or small surveys. Instead, they analyze large amounts of real data to base their decisions on real facts, driven by data. This is the essence of Data Science – creating value through data.
This trend of integrating data into core business processes has grown significantly, with interest more than quadrupling in the last 5 years according to Google Search Trends. Data gives companies a dramatic advantage over their competitors. With more data and improved analytics by data scientists, companies can gain insights into the market that their competitors may not even know exists. It has become a game of data or die.
In today's ever-evolving digital world, staying ahead of the competition requires constant innovation. Patents are out of fashion, while agile programming methodologies and new trends are under question.
Organizations can no longer rely on their old methods. , or Blockchain, it needs to be anticipated and adapted quickly.
Below are the 4 hottest data science trends of 2020. These are trends that generated a lot of interest in 2019 and will continue to grow rapidly in 2020.
Automated data science
Even in today’s digital age, Data Science still requires a lot of manual work. Storing, cleaning, visualizing and exploring data, and finally modeling the data to produce actual results. Doing this work manually demonstrated the need for automation, and eventually the rise of automated data science and machine learning occurred.
Almost every step of the process has been or is in the process of being automated.