venturebeat

2025-11-29

Why observable AI is the missing SRE layer enterprises need for reliable LLMs

As AI systems enter production, reliability and governance can’t depend on wishful thinking. Here’s how observability turns large language models (LLMs) into auditable, trustworthy enterprise systems.

Why observability secures the future of enterprise AI

The enterprise race to deploy LLM systems mirrors the early days of cloud adoption. Executives love the promise; compliance demands accountability; engineers just want a paved road.

Yet, beneath the excitement, most leaders admit they can’t trace how AI decisions are made, whether they helped the business, or if they broke any rule.

Take one Fortune 100 bank that deployed an LLM to [...]

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venturebeat

2025-10-24

Mistral launches its own AI Studio for quick development with its European open source, proprietary models

The next big trend in AI providers appears to be "studio" environments on the web that allow users to spin up agents and AI applications within minutes. Case in point, today the well-funded [...]

Match Score: 75.98

venturebeat

2025-10-01

GitHub leads the enterprise, Claude leads the pack—Cursor’s speed can’t close

In the race to deploy generative AI for coding, the fastest tools are not winning enterprise deals. A new VentureBeat analysis, combining a comprehensive survey of 86 engineering teams with our own ha [...]

Match Score: 67.46

venturebeat

2025-10-02

Salesforce launches AI 'trust layer' to tackle enterprise deployment failures plaguing 80% of projects

Salesforce Inc. is expanding its artificial intelligence platform with new data management and governance capabilities, aiming to address what the company says is a crisis in enterprise AI adoption wh [...]

Match Score: 59.86

venturebeat

2025-11-30

Ontology is the real guardrail: How to stop AI agents from misunderstanding your business

Enterprises are investing billions of dollars in AI agents and infrastructure to transform business processes. However, we are seeing limited success in real-world applications, often due to the inabi [...]

Match Score: 55.42

venturebeat

2025-11-03

The beginning of the end of the transformer era? Neuro-symbolic AI startup AUI announces new funding at $750M valuation

The buzzed-about but still stealthy New York City startup Augmented Intelligence Inc (AUI), which seeks to go beyond the popular "transformer" architecture used by most of today's LLMs [...]

Match Score: 55.33

venturebeat

2025-10-27

MiniMax-M2 is the new king of open source LLMs (especially for agentic tool calling)

Watch out, DeepSeek and Qwen! There's a new king of open source large language models (LLMs), especially when it comes to something enterprises are increasingly valuing: agentic tool use — that [...]

Match Score: 53.77

venturebeat

2025-11-26

A weekend ‘vibe code’ hack by Andrej Karpathy quietly sketches the missing layer of enterprise AI orchestration

This weekend, Andrej Karpathy, the former director of AI at Tesla and a founding member of OpenAI, decided he wanted to read a book. But he did not want to read it alone. He wanted to read it accompan [...]

Match Score: 51.46

venturebeat

2025-11-23

Lean4: How the theorem prover works and why it's the new competitive edge in AI

Large language models (LLMs) have astounded the world with their capabilities, yet they remain plagued by unpredictability and hallucinations – confidently outputting incorrect information. In high- [...]

Match Score: 50.43

venturebeat

2025-11-05

The agent builder arms race continues as Google Cloud pushes deeper into orchestration and ops

The march towards agentic enterprises continues as companies battle to keep developers on their platforms throughout the entire agent lifecycle. Google Cloud has updated its Agent Builder on Vertex A [...]

Match Score: 47.75