venturebeat
How Heidi built production-ready AI for healthcare at global scale

Presented by MongoDBBuilding AI that is accurate, secure, and reliable is a major engineering feat for organizations subject to the compliance obligations that govern healthcare, financial services, and transportation. The challenge of delivering AI-driven products is compounded by the fact that technology in these industries has tended to lag behind other sectors because regulation requires organizations to move carefully — and slowly. Now, many are also confronting data infrastructure modernization projects as they try to catch up with today’s demand for AI.Australian-founded AI Care Partner Heidi offers an example of successful modernization. Its flagship product, Heidi Scribe, now automates much of the administrative work that consumes clinicians’ days across more than 190 countr [...]

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The best smart scales for 2025

The New Year is here and there’s no better time to kickstart those health and fitness goals. Whether you’re looking to shed a few holiday pounds, track your muscle gains or simply stay on top of a [...]

Match Score: 76.87

venturebeat
Corti's new Symphony for Speech-to-Text model beats OpenAI at medical terminology accuracy, highlighting the value of specialized AI

Today, Copenhagen-based healthcare AI Corti is launching Symphony for Speech-to-Text, a new generation of clinical-grade speech recognition models engineered specifically for real-time dictation, conv [...]

Match Score: 64.73

venturebeat
Infrastructure and compute: Enterprises are buying AI compute for speed while flying blind on what it costs

Across 170 enterprises, AI infrastructure has moved decisively into production — two-thirds now run AI workloads live and three in 10 run them at scale — while the ability to account for what that [...]

Match Score: 53.91

venturebeat
From Silicon Valley to Nairobi: What the Global South’s AI leapfrogging teaches tech leaders

When I write about the cognitive migration now underway, brought about by the rapid advance of gen AI, I do so from the perspective of someone who has spent four decades in the technology industry. My [...]

Match Score: 48.49

venturebeat
Resolve AI says the AI coding boom is breaking production systems. It wants to fix that.

Resolve AI, the production-operations startup backed by Greylock and Lightspeed Venture Partners, today announced a sweeping expansion of its platform that introduces always-on background agents, a re [...]

Match Score: 48.29

venturebeat
The Agentic Reckoning: Enterprise AI organizations have a runtime problem, not a model problem — and most are building the wrong solution

In Q1 2026, VentureBeat's Pulse Research surfaced the “Governance Mirage”: the gap between the governance org charts enterprises had drawn and the control layers they had actually built. Fort [...]

Match Score: 44.66

venturebeat
Alibaba's AI video model rises to No. 2 in global rankings, as OpenAI's Sora and ByteDance's Seedance fall away

Alibaba Cloud on Sunday released HappyHorse 1.1, a major upgrade to its AI video generation model that the company says delivers production-ready video synthesis across core content creation scenarios [...]

Match Score: 41.52

venturebeat
Vercel rebuilt v0 to tackle the 90% problem: Connecting AI-generated code to existing production infrastructure, not prototypes

Before Claude Code wrote its first line of code, Vercel was already in the vibe coding space with its v0 service.The basic idea behind the original v0, which launched in 2024, was essentially to be ve [...]

Match Score: 40.57

venturebeat
Conversational AI doesn’t understand users — 'Intent First' architecture does

The modern customer has just one need that matters: Getting the thing they want when they want it. The old standard RAG model embed+retrieve+LLM misunderstands intent, overloads context and misses fre [...]

Match Score: 39.68