Expert Contributors Articles

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Charna Parkey Charna Parkey
Updated on March 15, 2023

Deep Learning vs. Machine Learning: What’s the Difference?

What's the difference between deep learning and machine learning? And which should you use?

Image: Shutterstock / Built In
Nicolas Far Nicolas Far
Updated on March 15, 2023

What I Learned From Pushing Redis Cluster to Its Limits

Lessons learned from scaling edtech platform Nearpod during the pandemic.

Edward Hearn Edward Hearn
Updated on March 15, 2023

Spreadsheet Organization Is All About Data Processing

Companies often want to apply grandiose, technical solutions to the problem of bad data. In fact, they would be better served to just take their spreadsheets more seriously.

Jeff Catlin Jeff Catlin
Updated on March 15, 2023

When Will AI Revolutionize Your Industry?

Domain-specific AI isn’t here quite yet, but deep language learning models like BERT and GPT-3 suggest it’s just a matter of time before your niche sees its own transformative AI innovations.

Rahul Agarwal Rahul Agarwal
Updated on March 15, 2023

5 Python Magic Methods or Dunder Methods to Know

Also called magic methods, dunder methods are necessary to understand Python. Here’s a guide to getting started with them.

Image: Shutterstock
Jason Cottrell Jason Cottrell
Updated on March 15, 2023

How Technology Can Kickstart Travel’s Post-Pandemic Boom

AI can offer enhancements that help put travelers at ease.

Andrés Cajiao Andrés Cajiao
Updated on March 15, 2023

Recruiting AI Needs More Diverse Data

Businesses know that they need to take a more active role in shaping fairer, more inclusive environments. But what if they’re searching for solutions in the wrong place?

Rachel Lo Rachel Lo
Updated on March 15, 2023

What Is the Ethical Obligation of the Tech Economy?

The past year has revealed the problems that plague society with stark clarity. It’s time for the tech industry to ask ourselves if we’re making things better or worse.

Peter Wang Peter Wang
Updated on March 15, 2023

How to Combat Shadow IT Data Management

Data scientists and their IT counterparts must work together to develop data management strategies that work for both sides.

Joe Gaska Joe Gaska
Updated on March 15, 2023

DataOps Is Here to Stay. Here’s Why.

The methodology tames unruly pipelines in order to increase the value of your data — so you can adapt faster to business changes.