Brian Nordli on Muck Rack

Brian Nordli

Verified
Chicago
As seen in: Built In, Washington Times, Lexington Herald-Leader, The News & Observer, Las Vegas Sun, Vegas Inc, Reno Gazette-Journal, WBNS-TV (Columbus, OH), Built In Chicago, Las Vegas Weekly, Built in LA and
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Brian

Contact Brian, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Stop Confusing the LLM for the Product Itself

|
By Brian Nordli , Shelley Copsey
| Built In
Ninety-five percent of AI projects fail. We’ve all seen the MIT report by now. The reasons vary — lack of data discipline, overambitious pilots, change-resistant cultures — but I’d argue one of the biggest is more fundamental. Too many organizations confuse the model with the product. 4 Tips for a Successful AI Implementation Start asking the right questions. Build the right foundations, not more pilots. Equip your people to scale AI. Don’t benchmark against mediocrity.
Open in Who Shared Issue with article?

How Great Tooling Shapes Modern Engineering

|
By Brian Nordli 
| Built In
When a company grows to the point of managing thousands of services, the way it builds and uses developer tooling changes completely. What works for a small team, quick scripts, tribal knowledge and lightweight processes can collapse under the weight of scale. Tooling becomes the backbone of both productivity and reliability, and the challenge is finding the balance between moving fast and staying safe.
Open in Who Shared Issue with article?

Building Cost-Effective Monitoring Solutions for AI Infrastructure

|
By Brian Nordli , Rajesh Kesavalalji
| Built In
Keeping AI and machine learning systems running smoothly doesn’t have to mean spending heavily on expensive tools. Lightweight monitoring techniques including metrics, trace logs and alerts form an efficient system that adapts to growing infrastructure when implemented together. 6 Steps to Building Cost-Effective Monitoring AI Infrastructure Monitor the total health status of nodes. Establish distributed tracing when machine learning pipelines become complex. Treat logs as essential layers.
Open in Who Shared Issue with article?
See all 672 articles

Actions

Share this page

Get in touch with Brian

Contact Brian, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack
 •  Privacy  •  Terms  •  Security and Legal  •   •   •   • 

© 2026 Muck Rack

SOC 2® Certified