Select Page

Datanami’s #6 Big Data Trend of 2019: Deep Learning Gets Deeper

Author: Tom Hoblitzell | | January 8, 2020

We’ve now reviewed the top 5 data trends projected by Datanami for 2019 – we’re already halfway through the fun! Let’s see how stack up for trend #6.

“Deep learning” is one of the biggest tech buzzwords of the past several years, and for good reason.

Neural networks, a machine learning model that is a rough approximation of the human brain, form the underpinning of deep learning. Computer scientists have found that neural networks can be used for a wide range of applications to great effect: everything from image recognition and natural language processing to artificial speech synthesis.

As just a quick primer, deep learning is responsible for all of the technological developments below and more:

  • The Google Translate machine translation service.
  • The computer vision software powering self-driving cars.
  • The FaceApp mobile app, which went viral this year for its ability to drastically change a person’s appearance in a photograph.
  • Fake audio and video recordings known as “deepfakes,” which are convincing yet false imitations of reality.

Within the enterprise, deep learning has many applications: developing better recommender systems (useful for customer-facing businesses like Netflix and Amazon); restoring damaged and noisy images; discovering promising new drug candidates; building chatbots that can hold realistic conversations with human users; and much more.

Despite its great promise, deep learning is still a highly active area of research, and still in its infancy when it comes to business applications. According to a 2018 survey of AI “early adopters,” just half said their company was already using deep learning, so there’s still plenty of time to get in at the ground level.

Want to know what’s coming down the pipe for deep learning in 2020 and beyond as it pertains to your organization? Check out our blog post “The Future of Deep Learning for Your Business.”

To get more detail on this and the other 9 data trends of 2019, Download “Analysis of the Top 10 Big Data Trends of 2019.”

Oracle BI Publisher (BIP) Tips: Functions, Calculations & More

Check out these BI Publisher tips including functions & calculations so you can understand more about the production and support of BI Publisher reports.

Sherry Milad | January 15, 2018

How to Index a Fact Table – A Best Practice

At the base of any good BI project is a solid data warehouse or data mart.

Christian Screen | March 16, 2010

Qlik vs. Tableau vs. Power BI: Which BI Tool Is Right for You?

Tableau, Power BI, and Qlik each have their benefits. What are they and how do you choose? Read this blog post for a quick analysis.

Tom Hoblitzell | June 6, 2019

Subscribe to Our Blog

Never miss a post! Stay up to date with the latest database, application and analytics tips and news. Delivered in a handy bi-weekly update straight to your inbox. You can unsubscribe at any time.

Work with Us

Let’s have a conversation about what you need to succeed and how we can help get you there.


Work for Us

Where do you want to take your career? Explore exciting opportunities to join our team.