10 Data Science Trends for 2018

Big data, artificial intelligence, augmented analytics, and more. Plenty has changed in data and analytics over the last year. Are you ready for these trends in 2018?

Cynthia Harvey, Freelance Journalist, InformationWeek

November 7, 2017

1 Min Read

If you're a regular AllAnalytics.com reader, you're probably already up to speed on data science topics like artificial intelligence, machine learning, the Internet of Things (IoT), and predictive analytics.

But what is coming next?

IDC forecasts that worldwide spending on big data and analytics could top $210 billion by 2020 (an increase from a projected $150.8 billion in 2017). What will enterprises be spending their money on then? And what techniques, tools, and other trends will play a major role in data science efforts in the coming years?

To answer that question, AllAnalytics.com poured through press releases, analyst reports, academic journals, and blog posts looking for terms that could become important for data scientists in 2018 and beyond. The following slideshow takes a closer look at ten data science trends that could soon have a significant impact on enterprise analytics.

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About the Author(s)

Cynthia Harvey

Freelance Journalist, InformationWeek

Cynthia Harvey is a freelance writer and editor based in the Detroit area. She has been covering the technology industry for more than fifteen years.

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