EPAM Systems has announced the launch of seven new AI agents available on Google Cloud Marketplace. These solutions are built with deep engineering expertise and leverage Gemini Enterprise to deliver secure, enterprise-ready AI tools. They are designed to help businesses across industries like finance, healthcare, and retail quickly adopt trusted AI technology while optimizing their
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Nvidia is taking a different approach in the AI world by focusing on open infrastructure for building AI agents. Instead of offering just ready-made services, the company is providing tools and models that developers can customize and own. This move aims to support AI systems that can work across large contexts and over long periods,
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Last week at AWS re:Invent, Amazon announced a new offering called AWS AI Factories. The company highlighted how these factories aim to speed up AI development using powerful hardware like Trainium, Nvidia GPUs, and secure infrastructure. The idea is to make deploying AI easier, safer, and more sophisticated for large organizations. But as with many
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AI agents are transforming the way organizations operate. By combining language and reasoning models with automation capabilities, these agents can take meaningful actions through APIs and integrations. As more companies explore AI agents, many will start by embedding them into their existing SaaS tools to improve efficiency and decision-making. Getting Started with AI Agent Practices
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The UK government is exploring new ways to curb access to explicit images online. They want smartphones to help enforce age checks before viewing content containing nudity. This move is part of a broader push to reduce harm, especially to protect women and children from abuse and exploitation. Government Push for Nudity-Detection in Operating Systems
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Nvidia is shifting its focus towards open infrastructure for artificial intelligence with the introduction of its new Nemotron 3 family of models. These models are designed to help developers create smarter AI agents that can work together, plan, and perform tasks over long periods and across large contexts. Instead of offering ready-made AI services, Nvidia
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Many company leaders are continuing to invest heavily in artificial intelligence, even though the early outcomes are mixed. Reports from the Wall Street Journal and Reuters show that most CEOs expect AI spending to grow through 2026. However, they also acknowledge it’s hard to clearly connect these investments to widespread, measurable benefits across their organizations.
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Walmart made a significant move on December 9 by transferring to the Nasdaq stock exchange. This wasn’t just a symbolic step; it signals the company’s bold claim that it’s shifting away from being just a discount retailer. Instead, Walmart sees itself as a tech-powered business leveraging artificial intelligence to reshape how it operates. While many
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Amazon, the company that launched the cloud computing revolution, continues to lead in adopting new technologies. Its use of artificial intelligence (AI) is evolving rapidly, moving from simple chatbots to more advanced, agentic AI systems. These systems can plan, make decisions, and carry out complex tasks across different areas of the business, changing how Amazon
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London-based startup Gracia AI has raised $1.7 million in funding to advance its 4D Gaussian Splatting technology. This new investment comes from notable backers, including EWOR and a pioneer behind Neural Radiance Fields (NeRF). The company is quickly establishing itself as a leader in a rapidly evolving industry that barely existed two years ago. With
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