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Data Science Predictions for 2017 Posted on : Dec 06 - 2016

When the year is about the end, the suppositions for the future almost always begin showing up in news stories, technology mags and other specialized publications. It’s exciting to speculate about what is ahead, especially if it’s about one of the hottest jobs currently, the data scientist.

The limitations of science and technology that previously withheld the power of Data Science are gradually eroding, and the Data Management industry can expect some major changes to sweep through global Data Science practices in 2017.

The Power of Data Science

To understand why Data Science is so critical for business success, there are a few pre-conditions that need to be understood:

Data Science has the requisite capability to provide accurate solutions to business problems when one needs it and where one needs it

Data Science enables better business decisions and accurate study of the impact of such decisions.

Data Science can make more exact predictions about the future when both human intuition and experience fail. With Data Science, businesses do not have to depend on guesswork anymore.

Machine Learning to Rule the Industry

Given the close relationship of Data Science and Machine Learning (ML), the future business analytics world will not be able to survive without ML. As ML is increasingly becoming more relevant to Data Scientists, a basic skill level in Machine Learning will soon become mandatory to even begin a career in Data Science. In 2017.

Big Data Technology Spending will Boom

Today, Big Data technologies are more mainstream and more necessary for the success of Data Science initiatives than they have been at any time in the past. 2017 will certainly see a continued boost in Big Data investments, especially as the cost to handle the “volume, velocity and variety of data” has substantially come down. According to Information Week, Big Data Analytics Sales Will Reach $187 Billion by 2019.

The Growth of the Hadoop Market

Hadoop will not only continue to deliver a centralized platform for cleansing, storing, and processing huge volumes of data, but it will also combat the cost-prohibitive nature of standard IT solutions. Hadoop offers an excellent solution to deal with a wide variety of applications like Predictive Analytics, ETL, Data Visualization, Data Mining, Data Warehousing, IoT, or Clickstream Analysis.

Data Science in Healthcare Business Intelligence and Analytics

In healthcare, a highly techno-enabled and digitized patient care world of 2020 is predicted. Patients will gradually look towards the digital platform for their day-to-day healthcare needs. By and large, the future healthcare industry is heading towards a digital healthcare platform.