Nathan Eddy

Decline in ACA marketplace offerings are due to exits from big carriers such as Aetna and Cigna, the end of enhanced subsidies and employer interest in off-market plans.

Unlike traditional software systems that rely on deterministic rules, artificial intelligence devices frequently use predictive models trained on specific datasets.

AMA report and survey findings point to a healthcare AI landscape that is advancing unevenly across stakeholders.

The biggest risk with AI leadership systems may not be bad automation, but losing direct human feedback loops and accountability structures.

What are the main types of prompt engineering? This guide breaks down the techniques behind better AI reasoning, accuracy and control.

The capital’s rapid transit system, a testament to the value of good public design, is a work of Brutalist beauty and timeless civic dignity.

AI agents are only as reliable as the data they can access, yet most enterprises still rely on fragmented systems and outdated context.

The EPA’s plan to fast-track data center construction may cut red tape but also ignite legal battles and intensify environmental concerns.

AI vendors can't rely on flashy features alone. Open-source alternatives are pushing the market toward governance, workflow reliability and ecosystem depth.

AI agents can do more work, but humans still own the judgment. Here's how to design HITL without creating new bottlenecks.