Embedded Swift is a subset of Swift built for tiny, constrained hardware, with far smaller binaries while keeping the language you already know. Swift 6.4 brings it closer to full Swift than ever, supporting "any" types, untyped throws, and metatypes.

Embedded finance was a defining infrastructure pattern of the last decade: Stripe turned payments into an API. Plaid turned bank connectivity into an API. The work was making banking and financial primitives understandable and easy to integrate, and handing them to product teams as configurable building blocks. Onchain finance is now ready for this same shift to ease, legibility, and composability so that idle balances can be made more productive including billions of stablecoins, pre-funded accounts, and neobank deposits. But fragmentation makes this difficult to package in a product, requiring many integration across chains, protocols, and markets, plus orchestration and reconciliation work that never ends. The complexity is prohibitive. Ground collapses this effort into a single integration to embed transparent, configurable, diverse yield. The bar is fintech UX, where yield should feel like a native balance feature. That is what Ground provides: One API, configurable yield sources, and ledger-ready accounting. If you run a neobank, exchange, or finance app and embedded yield is on the roadmap, let's talk.

Looker Embedded Conversational Analytics is GA! Embed agents directly into your custom applications and internal workflows via a low-code iframe implementation. It's easier than ever to ship production-ready, conversational AI within any application →

As #AI# becomes more embedded in critical decisions, #governance# alone is not enough. In the moments that matter, human judgement determines whether an AI system can be trusted.

AI is becoming more embedded in how things function. At the same time, questions around access and trust are starting to come into focus. J.P. Morgan's Kristina Nilsson and Justin Krauss discuss the emerging technology.