Perspectives on AI, product development, and the future of intelligent software.
A contractually required quarterly report took 72 hours of staff time across six systems. Now it runs automatically in under 5 hours. Three before-and-after stories.
A practical playbook for ChatGPT, Claude, Gemini, and Grok. Frontier models advertise 1M-token windows but use only 10-20% effectively. Here's the mechanism, the failure modes, and the fixes.
Healthcare interoperability has been a promise for decades. FHIR gave us the standard. AI gave us the speed. Here's how we put them together.
A conversation with former Google product leader Rob Gray on what separates great product owners from good ones - and why it matters more than your tech stack.
Our recommended approach for HIPAA-safe AI agents: keep protected health information (PHI) out of the AI model context with tokenization and code execution.
2026 is the year AI stops being a novelty and becomes a core business function. The real constraint isn't the model. It's your data architecture.
AI in healthcare keeps stumbling on the same problems. Here's what it actually takes to move past the hype into real interoperability.
Before the current wave of generative AI, Digital2DNA was applying machine learning to healthcare data problems. Here's how a data-first approach to lab throughput proved that clean data is the foundation of every AI initiative.