Production AI
Production AI on Beyond Market Intelligence: a running collection of 5 stories we have gathered and hand-picked because they are worth your time. Every post here touches on production ai in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around production ai, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.

From Prototype to Production: The Architecture Behind Secure & Governed AI Agents
Moving AI agents from prototype to production demands a robust architecture prioritizing security and governance. Our latest post, "From Prototype to Production: The Architecture Behind Secure & Governed AI Agents," details the essential layers required for enterprise readiness. We explore how to build responsible AI, ensuring data integrity and compliance. Discover practical strategies for mitigating risk and maximizing value as AI adoption scales.

How Heidi built production-ready AI for healthcare at global scale
Building production-ready AI for healthcare at scale demands a robust architecture, particularly when navigating stringent compliance requirements. Australian AI Care Partner, Heidi, provides a compelling case study. Its AI Scribe automates administrative tasks for clinicians across 190 countries, processing roughly 2.7 million patient interactions weekly. This global reach is underpinned by a data-first approach, leveraging MongoDB Atlas for flexible data management and AI-ready features like Vector Search. As Heidi’s co-founder, Yu Liu, emphasizes, "Reliability engineering is trust engineering.”

QCon AI New York 2026: Registration Opens for December 15-16 Production-AI Conference
Registration is now open for QCon AI New York 2026, December 15-16, at The Westin Jersey City Newport. This production-AI conference features six expert-led tracks, chaired by Eder Ignatowicz alongside Faye Zhang and Wes Reisz, offering practical insights for deploying AI solutions. Expect the first session announcements in August, with the full program revealed by November. Explore the evolving landscape of production AI—for deeper understanding, see our recent analysis on building AI-text detectors from scratch.

QCon AI Boston: Production AI Moves Beyond Prompts to Platforms, Harnesses, and Evals
QCon AI Boston 2026 addressed a critical shift: Production AI moving beyond initial prompt-based exploration to robust platforms, harnessed agents, and rigorous evaluations. The conference centered on the operational challenges of deploying AI agents at scale, emphasizing improved context management and robust security measures—including a "harness" approach to contain agent access. Attendees explored a comprehensive engineering model for AI, recognizing the need for mature infrastructure. For further insight into agent security concerns, see our recent article, "The agent security gap."

The real AI race may no longer be at the frontier
The emerging landscape of AI reveals a surprising shift: the real race may be moving beyond frontier models. Hugging Face CEO Clem Delangue notes a growing enterprise demand for open models, driven by concerns around cost, accessibility, and ownership. While frontier models maintain significance, the increasing prevalence of open models in production raises a critical question: where will AI deployment ultimately reside?