InfoWorld AI·
Snowflake is enhancing Snowflake Intelligence and Cortex Code to create a unified experience connecting enterprise systems, data sources, and AI models with Snowflake data. It’s part of the company’s vision to become the control plane for the agentic enterprise, enabling enterprises to align data, tools, and workflows with AI agents built on its platform. With these updates, the company said, Snowflake Intelligence becomes an adaptable personal work agent for business users, and Cortex Code expands as a builder layer for enterprise AI that provides governed, data-native development. Enhancements to Snowflake Intelligence include automation of routine tasks by describing them in natural language, new Model Context Protocol (MCP) connectors, and reusable artifacts that let users save and share analyses, visualizations, and workflows, all of which will be generally available “soon.” In addition, a new iOS mobile app, and multi-step reasoning with deep research that uses agentic architectu
Read full articleMy most exciting news of last week: Amazon Bedrock AgentCore previewed the first managed payment capabilities enabling AI agents to autonomously access and pay for APIs, MCP servers, web content, and other agents. Built in partnership with Coinbase and Stripe, it removes the undifferentiated heavy lifting of building customized systems for billing, credential management, and […]
The post MoonPay buys Dawn Labs, debuts AI trader for prediction markets appeared on BitcoinEthereumNews.com. MoonPay buys Dawn Labs and launches Dawn CLI, letting AI agents and traders turn natural‑language prompts into live prediction‑market strategies on Polymarket. Summary MoonPay has acquired AI trading startup Dawn Labs and launched Dawn CLI, an AI-powered assistant that turns natural language prompts into executable crypto trading strategies. The first live integration is with prediction market platform Polymarket, signaling a push into automated, on-chain betting workflows at the intersection of AI agents and decentralized derivatives. The move extends MoonPay’s broader “agentic payments” strategy, giving AI agents and human traders a shared infrastructure for funding, trading and settlement across crypto markets. MoonPay has moved deeper into AI-driven trading with the acquisition of Dawn Labs and the launch of Dawn CLI, a command-line assistant that lets users describe tradin
MoonPay buys Dawn Labs and launches Dawn CLI, letting AI agents and traders turn natural‑language prompts into live prediction‑market strategies on Polymarket. MoonPay has moved deeper into AI-driven trading with the acquisition of Dawn Labs and the launch of Dawn…
The post PayPal and Google Cloud Say Crypto Is Only Viable Payment Layer for AI Agent Economy appeared on BitcoinEthereumNews.com. AI agents cannot open bank accounts making crypto the only payment option. Google launched Agentic Payments Protocol AP2 with 120 partners globally. Only 20% of merchants have machine readable catalogs despite 95% seeing AI traffic. AI agents can browse the web, negotiate services, and execute tasks autonomously. But they cannot open a bank account. Not because the process is difficult. Because it is structurally impossible under current technological and regulatory frameworks. That single constraint, laid out at CoinDesk’s Consensus Miami conference, is reshaping how the technology industry thinks about the future of payments. “An agent cannot get a bank account. It’s not hard, it just is impossible,” said Richard Widmann, global head of Web3 strategy at Google Cloud. Crypto, he argued, fills the gap naturally. It is a machine-readable interface that agent
Human-in-the-Loop becomes an operational bottleneck In my previous article, ”The Missing Layer in Agentic AI,” I argued that AI agents need a deterministic execution kernel—a privileged “Kernel Space” that validates every proposed action before it touches the real world. That article focused on what happens at the execution boundary: idempotency, JIT state verification, and DFID-correlated […]
Bain & Company has estimated a US$100 billion market in the US for SaaS companies using agentic AI. The firm said the market is tied to automating coordination work in enterprise systems. The estimate comes from the second report in Bain’s five-part series on the software industry in the age of AI. The report examines […] The post Bain sees US$100 billion SaaS market in agentic AI automation appeared first on AI News.
AI agents need “food,” and that food is not physical food; it is tokens, said Jordi Visser.
AI agents are evolving into always-on autonomous systems that can remember, learn, and operate continuously across multiple platforms. OpenClaw, Hermes Agent, and Claude are leading this transformation, but each is taking a radically different approach that could define the future of AI automation.
