Putting agentic AI to the test
The latest edition of DirectorPlus explores how New Relic is utilizing agentic AI and what the results have been.
A lot is being said about agentic AI right now. But is it all hype?
I recently synced with Camden Swita, Head of AI and ML Innovation at New Relic, on this loaded topic for LeadDev — we dove into the details to explore how New Relic developers are actually putting it to the test and seeing real-world results.
This one is loaded with on-the-ground insights. For instance, I never dreamed image-to-text models would outperform raw text for things like navigating a database schema!
Success with agentic AI involves tracking the right metrics, bridging deterministic and probabilistic AI, getting input from various domain experts, and discovering new optimizations, says Camden.
Finding success with AI is a moving target, especially with mounting quality concerns. So, it's fascinating to see how agentic AI is being approached in real-world settings.
Check out the full story on LeadDev! And be sure to subscribe to DirectorPlus if you'd like this monthly column in your inbox.
Featured image credit: Cash Macanaya on Unsplash.
Sign up to the DirectorPlus newsletter for a new story in your inbox each month featuring on-the-ground insights from some of the industry's top engineering leaders. Or, if you would like to be featured in the series, please read this.
