10 Data Science Trends for 2018

[Click on the image below to activate the slideshow]

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.

Cynthia Harvey, Freelance Writer

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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  • 11/11/2017 11:54:39 PM

Cynthia Harvey provides a succinct and interesting explanation of Blockchain:

Blockchain is the technology that underlies cryptocurrencies like Bitcoin. It is a highly secure distributed ledger that doesn't allow data to be edited or deleted once it is added to the ledger.

"Oops, I typed too many zeros on that ckeck amount. Now, how do I edit that entry? Uh-oh ..."


Re: Useful list of trends
  • 11/11/2017 10:03:23 AM

Yes, it's pretty irritating sometimes how marketing folks go to extremes to get those clicks. Maybe some A/B testing might find that sales or comprehension don't increase enough to justify the frustration readers encounter?

Re: Useful list of trends
  • 11/9/2017 5:31:25 PM

@ Lyndon,

It's a very effective tacktic to keep a person clicking on new pages and new ads.  It's irritating and it works.

Useful list of trends
  • 11/9/2017 9:24:22 AM

Very interesting and informative summary of the current trends, although I find these "listicle" formats rather cumbersome and irritating. Also I don't see that all the slide graphics added anything at all.


Edge Analytics
  • 11/7/2017 11:10:36 PM

Personally, I've started to more edge analytics with many companies I've worked with.  I've seen serveral companies close out departments in an effort to consolidate analytics then come to the realization that it is all too much for one location just due to the bandwith. 

Though, I certainty understand why they did so.  Because the promise from all the hype was that they would be able to do so and keep down costs.