AI systems are now often built around continuous streams of data. Unlike traditional datasets that are static and collected once, financial markets provide a constant flow of new information. This is especially true for cryptocurrencies, where prices and activity levels change rapidly and unpredictably. For AI models, this ongoing data creates both challenges and opportunities
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As more companies adopt AI agents to handle tasks like customer support, security, and operational management, a new challenge emerges. These autonomous AI systems are becoming more common inside corporate networks, making decisions and working independently. But without a proper way for these systems to coordinate, exchange information, and work across different cloud setups, chaos
Omni, a company based in San Francisco, has raised $120 million in a Series C funding round. This new investment values the company at $1.5 billion. Omni was started in 2022 by three founders with deep roots in the data world. They saw a big problem: AI tools need reliable business data to work well.
Orkes, a platform focused on helping developers manage AI agents and automated workflows in real-world settings, has announced a fresh $60 million in funding. The company was founded by engineers who originally built Netflix’s internal workflow system, with Jeu George serving as CEO and co-founder. This funding comes at a critical time when many companies
OpenAI has introduced a new version of its language model called GPT 5.5. Unlike earlier versions that mainly focused on chatting, GPT 5.5 is designed to handle more complex and messy tasks with less guidance from users. This shift makes the AI more practical for real-world work, such as coding, data analysis, and business projects,
The UK’s National Cyber Security Centre (NCSC) is now recommending passkeys as the standard way for businesses to authenticate users. They say passkeys are safer and easier for people to use than traditional passwords. The move reflects recent advances that make passkeys a better choice for online security and user convenience. Why passkeys are the
Google is rebranding and expanding its data and analytics offerings into what it calls the Agentic Data Cloud. This new architecture aims to help large companies move their AI projects from simple tests to full-scale production. The goal is to turn scattered data into a unified, meaningful layer that AI agents can understand, reason over,
The buzz around AI agents is heating up as more tech companies introduce new tools to build, manage, and deploy them. This week saw major announcements from OpenAI, Microsoft, Google, and Anthropic, each pushing forward with their latest offerings. The race to create smarter, more capable AI agents is accelerating, with each company aiming to
Many people interested in cloud computing think they need to invest heavily in expensive courses or certifications before they can start working in the field. However, this isn’t the case. Free cloud courses are a great way to begin because they are low-risk, build confidence, and help learners understand the basic concepts, terminology, and platforms
Many people see AI as a kind of science fiction dream: machines that think and act on their own, without human input. But according to many experts, we haven’t fully realized that vision yet. The next big leap in AI might come from something called world models. These models learn from the entire environment—whether real
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