AI projects fail when success is undefined. Here’s how businesses can measure AI ROI using productivity, cost, quality, revenue, and risk metrics.
Curated
Featured analysis
Three sharp reads for operators, builders, and teams tracking the next shift.
AI agents are evolving from flashy demos into practical business workflows. Here’s what they are, where they work, and what still makes them risky.
AI-native development is changing how data science and MLOps teams build, test, deploy, and monitor models. Here’s what it means in practice.
Artificial General Intelligence is one of the biggest questions in AI. Here’s what AGI means, how close we may be, and why expert opinions still differ.
Fresh signal
Latest dispatches
Practical AI and tech analysis for teams shipping into the future.
Employees are using AI tools at work with or without approval. Here’s why Shadow AI is becoming a serious enterprise risk and how businesses can manage it.
AI News
Fast-moving updates for teams tracking the market
A separate feed for launches, policy moves, infrastructure shifts, and the stories worth reacting to today.
Our latest model, Claude Opus 4.7, is now generally available. Opus 4.7 is a notable improvement on Opus 4.6 in advanced software engineering, with particular gains on the most difficult tasks.
We're in the transition period -- all of us.
Google has introduced Middleware for Genkit, its open-source framework for building AI-powered and agentic applications. The update adds a programmable interception layer around model calls, tool execution, and generation loops, giving developers more control over reliability, safety, and orchestration inside productio
Like other AI wearables, Amazon's Bee offers an odd combination of convenience and privacy anxiety.
