A guide to APIs, MCPs, and MCP Gateways

Ahead of the AI & Big Data Expo at the San Jose McEnery Convention Center, May 18-19, we spoke to Jerome Gabryszewski, the company’s AI & Data Science Business Development Manager about AI, processing data for AI ingestion, and local versus cloud compute. The technology media is fond of quoting that data is ‘the new […] The post HP and the art of AI and data for the enterprise appeared first on AI News.

Google is testing Remy, a new AI personal agent for Gemini, according to Business Insider. The tool is designed to take actions for users in work and daily tasks. Remy is being tested in a staff-only version of the Gemini app. The report said it reviewed an internal document and spoke with two people familiar […] The post Google tests Remy AI agent for Gemini as focus turns to user control appeared first on AI News.

Modern frontend applications rely on cloud services for far more than basic data fetching. Authentication, search, file uploads, feature flags, notifications and analytics often depend on APIs and managed services running behind the scenes. Because of that, frontend reliability is closely tied to cloud reliability, even when the frontend team does not directly own the infrastructure. This is often one of the biggest mindsets shifts for frontend engineers. We often think about failure as a total outage where the whole site is down. In practice, that is not what most users experience. More often, the interface is partially degraded: A dashboard loads but one panel is empty, a form saves but the confirmation never arrives, or a file upload stalls while the rest of the page still appears normal. That is why I think frontend resilience deserves more attention in day-to-day engineering conversations. The goal is not to prevent every cloud issue. That is rarely realistic. The more practical g

Governance around Physical AI is becoming harder as autonomous AI systems move into robots, sensors, and industrial equipment. The issue is not only whether AI agents can complete tasks. It is how their actions are tested, monitored, and stopped when they interact with real-world systems. Industrial robotics already provides a large base for that discussion. […] The post Physical AI raises governance questions for autonomous systems appeared first on AI News.

According to SAP, enterprise AI governance secures profit margins by replacing statistical guesses with deterministic control. Ask a consumer-grade model to count the words in a document, and it will often miss the mark by ten percent. Manos Raptopoulos, Global President of Customer Success Europe, APAC, Middle East & Africa at SAP, observes that the […] The post SAP: How enterprise AI governance secures profit margins appeared first on AI News.

Every cloud beat. Every capex forecast rose. That is the two-sentence summary of the biggest earnings day of 2026, and it tells you almost everything you need to know about where Big Tech’s AI infrastructure spending actually stands right now. Microsoft, Alphabet, Meta, and Amazon collectively committed somewhere between US$630 billion and US$650 billion in […] The post Big Tech just proved AI infrastructure spending works. Then it raised the bill anyway appeared first on AI News.

When people talk about artificial intelligence, they usually focus on what it produces: Human-like text, stunning images, or eerily accurate recommendations. What rarely gets attention is how AI understands anything in the first place. That understanding begins with encoders. Think of an encoder as a translator that converts messy, real-world information into a structured language […] The post The evolution of encoders: From simple models to multimodal AI appeared first on AI News.

AI systems are increasingly built around data that does not really pause. Financial markets are an obvious example, where inputs keep updating, not arriving in fixed batches. In that kind of setup, something like the BNB price stops being a single figure and starts to look more like a stream that keeps changing. Cryptocurrency markets […] The post How AI models use real-time cryptocurrency data to interpret market behaviour appeared first on AI News.