venturebeat

2025-10-10

Will updating your AI agents help or hamper their performance? Raindrop's new tool Experiments tells you

It seems like almost every week for the last two years since ChatGPT launched, new large language models (LLMs) from rival labs or from OpenAI itself have been released. Enterprises are hard pressed to keep up with the massive pace of change, let alone understand how to adapt to it — which of these new models should they adopt, if any, to power their workflows and the custom AI agents they're building to carry them out?

Help has arrived: AI applications observability startup Raindrop has launched Experiments, a new analytics feature that the company describes as the first A/B testing suite designed specifically for enterprise AI agents — allowing companies to see and compare how updating agents to new underlying mode [...]

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venturebeat

2025-11-13

Upwork study shows AI agents excel with human partners but fail independently

Artificial intelligence agents powered by the world's most advanced language models routinely fail to complete even straightforward professional tasks on their own, according to groundbreaking re [...]

Match Score: 106.13

venturebeat

2025-11-18

Microsoft’s Agent 365 shifts AI agents from sandbox tools to enterprise-grade infrastructure

Managing and maintaining AI systems remains a challenge for many enterprises, particularly with the potential for agentic sprawl to expose businesses to risky entry points. Microsoft entered the obse [...]

Match Score: 100.89

venturebeat

2025-11-19

The Google Search of AI agents? Fetch launches ASI:One and Business tier for new era of non-human web

Fetch AI, a startup founded and led by former DeepMind founding investor, Humayun Sheikh, today announced the release of three interconnected products designed to provide the trust, coordination, and [...]

Match Score: 77.23

venturebeat

2025-11-18

Microsoft remakes Windows for an era of autonomous AI agents

Microsoft is fundamentally restructuring its Windows operating system to become what executives call the first "agentic OS," embedding the infrastructure needed for autonomous AI agents to o [...]

Match Score: 72.42

venturebeat

2025-10-14

EAGLET boosts AI agent performance on longer-horizon tasks by generating custom plans

2025 was supposed to be the year of "AI agents," according to Nvidia CEO Jensen Huang, and other AI industry personnel. And it has been, in many ways, with numerous leading AI model provider [...]

Match Score: 66.77

venturebeat

2025-10-12

We keep talking about AI agents, but do we ever know what they are?

Imagine you do two things on a Monday morning.First, you ask a chatbot to summarize your new emails. Next, you ask an AI tool to figure out why your top competitor grew so fast last quarter. The AI si [...]

Match Score: 65.08

venturebeat

2025-10-29

The missing data link in enterprise AI: Why agents need streaming context, not just better prompts

Enterprise AI agents today face a fundamental timing problem: They can't easily act on critical business events because they aren't always aware of them in real-time.The challenge is infrast [...]

Match Score: 64.06

venturebeat

2025-11-21

Salesforce Agentforce Observability lets you watch your AI agents think in real time

Salesforce launched a suite of monitoring tools on Thursday designed to solve what has become one of the thorniest problems in corporate artificial intelligence: Once companies deploy AI agents to han [...]

Match Score: 62.08

venturebeat

2025-10-28

GitHub's Agent HQ aims to solve enterprises' biggest AI coding problem: Too many agents, no central control

GitHub is making a bold bet that enterprises don't need another proprietary coding agent. They need a way to manage all of them.At its Universe 2025 conference, the Microsoft-owned developer plat [...]

Match Score: 61.36