Artificial Intelligence Articles

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Helen Gu Helen Gu
Updated on April 09, 2025

How Observability Can Help Solve Hallucinations in Your AI Implementation

We’ve all seen funny examples of AI hallucinations, but that wouldn’t be so amusing if it affected your business. Our expert explains how to stay safe.

Image: Shutterstock / Built In
Vikrant Bhalodia Vikrant Bhalodia
Updated on April 08, 2025

Is Including AI in Software Releases Risky or Smart?

As AI increasingly proliferates in software development, our expert asks whether that’s for good or ill.

Image: Shutterstock / Built In
Ahmad Shadid Ahmad Shadid
Updated on April 08, 2025

What Effect Will DOGE Have on U.S. AI Policy?

The Trump administration has undertaken a drastic reshaping of the American government, but will it fuel innovation or stifle it?

Image: Shutterstock / Built In
Jenny Lyons-Cunha Jenny Lyons-Cunha
Updated on April 08, 2025

Not Your Grandparent’s Farm Equipment: How John Deere’s Global IT Initiatives Are Helping to Revolutionize the Farming Industry

From CVML to digital twinning, John Deere is perpetually reimagining the future of farming. Built In sat down with Principal Architects Alok Kumar and Jason Wallin to learn more about the IT projects supporting the vision of “helping life leap forward.”

Photo of farmland with John Deere sprayer featuring See & Spray technology
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Chris Villanueva Chris Villanueva
Updated on April 07, 2025

Why AI Resume Builders Hurt Tech Job Seekers

AI resume builders may be convenient, but they often miss the subtle details that help a candidate stand out. Here’s what to do instead. 

Image: Shutterstock / Built In
Sek Chai Sek Chai
Updated on April 03, 2025

How Edge Computing Can Solve AI’s Energy Crisis

Edge AI processes data closer to the source rather than in a centralized location like cloud-based AI. Here’s how that can reduce AI’s energy consumption.

Image: Shutterstock / Built In
Terence Shin Terence Shin
Updated on April 03, 2025

What Is Model Deployment in Machine Learning?

Model deployment is the process of integrating a machine learning model into a production environment where it can take in an input and return an output. Here’s why it’s important, how it works and factors and challenges to consider.

Image: Shutterstock / Built In
Quinten Dol Quinten Dol
Updated on April 03, 2025

Can Machine Learning Help Clean Up a Tornado’s Financial Aftermath?

New CoreLogic software gives insurers and first responders tornado damage estimates in real-time.

Can Machine Learning Help Clean Up A Tornado’s Financial Aftermath?
Mae Rice Mae Rice
Updated on April 03, 2025

Could Contextual Analysis Replace the Cookie?

Targeted ads used to follow us around the web. Contextual analysis places ads next to relevant content instead.

Could Contextual Analysis Replace the Cookie?
Jeff Link Jeff Link
Updated on April 02, 2025

Why Racial Bias Still Haunts Speech-Recognition AI

Voice-to-text is far less accurate for Black speakers. Fixing that requires a deeper look at training set representation.

Why Racial Bias Still Haunts Speech-Recognition AI

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