Top 4 Data Science Trends for 2020
December 27, 2019 by Jon O'Keefe

2019 was an enormous year in the world of data science. As businesses in nearly every industry continue to go through what has been dubbed a “digital transformation” thanks to new insights into data, data science and analysis is only going to get bigger in the coming new year.

 

What is this “digital transformation?” Companies are taking typical business practices and processes, such as pricing, marketing, hiring, research, and strategy, and applying new digital technologies to these areas. The integration of data science into core business processes has become super popular in the last few years, with the need for talent in this area growing at an exponential rate.

 

As data science becomes even more included and ingrained in the everyday workings of companies across a multitude of industries and sectors, what will the year 2020 look like in terms of trends? We’ve put together our predictions:

 

  • Data science will become more automated. – As it stands now, data science requires quite a bit of manual elbow grease to get the job done. As machine learning, artificial intelligence, and other technological advancements continue to grow in use cases and develop further, automation will be able to be applied to nearly every step of the process of data science. While scientists and analysts will always be required for the area, automation in this world will make the process cheaper, easier, and much faster in the future for companies.
  • Roles in the field will become more niche. – There is already a “practical” split between roles within the world of data science: those that are focused on engineering (i.e. large production systems, infrastructure, and platforms) and those that are science-heavy that typically focus on decision support and investigation. As these roles continue to grow in importance and responsibility at each organization, the idea of a multi-talented, universal data scientist will be replaced by specialized roles.
  • NLP will advance in data science. – Through Deep Learning, Natural Language Processing has recently made huge advancements in an integration with data analysis. NLP gives us the ability to represent rich data and information as numbers for easier analysis. The integration of NLP into data science will allow us to quantify, compare, and gain a much more comprehensive insight into data.
  • The cloud will super-size the field of data science. – Thanks to the impact that the cloud has already made, the sheer amount of data collected and stored by organizations of today has increased exponentially in recent history. Cloud computing has also allowed for an unprecedented amount of computing power. Between the amount of space and power the cloud has already given data science, the boundaries and capabilities of data science will be expanded even further.

 

As a whole, the field of data science is expanding and will absolutely become even bigger in the year 2020. Is your company ready to handle it?