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Integrating AI models directly into extended detection and response (XDR) platforms is delivering breakthrough improvements in SOC investigation speed and accuracy.In an exclusive interview with VentureBeat, eSentire revealed that deploying Anthropic's Claude across their Atlas XDR Platform compresses comprehensive threat investigations from five hours to seven minutes, delivering a 43x speed...
Presented by Elastic Logs set to become the primary tool for finding the “why” in diagnosing network incidents Modern IT environments have a data problem: there’s too much of it. Organizations that need to manage a company’s environment are increasingly challenged to detect and diagnose issues in real-time, optimize performance, improve reliability, and ensure security and compliance — all within...
The latest big headline in AI isn’t model size or multimodality — it’s the capacity crunch. At VentureBeat’s latest AI Impact stop in NYC, Val Bercovici, chief AI officer at WEKA, joined Matt Marshall, VentureBeat CEO, to discuss what it really takes to scale AI amid rising latency, cloud lock-in, and runaway costs.Those forces, Bercovici argued, are pushing AI toward its own version of surge...
The intelligence of AI models isn't what's blocking enterprise deployments. It's the inability to define and measure quality in the first place.That's where AI judges are now playing an increasingly important role. In AI evaluation, a "judge" is an AI system that scores outputs from another AI system. Judge Builder is Databricks' framework for creating judges and was first deployed as part of the...
Attention ISN'T all you need?! New Qwen3 variant Brumby-14B-Base leverages Power Retention technique
When the transformer architecture was introduced in 2017 in the now seminal Google paper "Attention Is All You Need," it became an instant cornerstone of modern artificial intelligence. Every major large language model (LLM) — from OpenAI's GPT series to Anthropic's Claude, Google's Gemini, and Meta's Llama — has been built on some variation of its central mechanism: attention, the mathematical...
Enterprise AI has a data problem. Despite billions in investment and increasingly capable language models, most organizations still can't answer basic analytical questions about their document repositories. The culprit isn't model quality but architecture: Traditional retrieval augmented generation (RAG) systems were designed to retrieve and summarize, not analyze and aggregate across large...
Market researchers have embraced artificial intelligence at a staggering pace, with 98% of professionals now incorporating AI tools into their work and 72% using them daily or more frequently, according to a new industry survey that reveals both the technology's transformative promise and its persistent reliability problems.The findings, based on responses from 219 U.S. market research and...
SAP aims to displace more general large language models with the release of its own foundational “tabular” model, which the company claims will reduce training requirements for enterprises. The model, called SAP RPT-1, is a pre-trained model with business and enterprise knowledge out of the box. SAP calls it a Relational Foundation Model, meaning it can do predictions based on relational...
Presented by ZendeskAgentic AI is currently transforming three key areas of work — creative, coding, and support — says Shashi Upadhyay, president of engineering, AI, and product at Zendesk. But he notes that support presents a distinct challenge. "Support is special because you’re putting an autonomous AI agent right in front of your customer," Upadhyay says. "You have to be confident that it’s...
A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using tools that would have required entire specialized teams just months ago.The catalyst is dlt, an open-source Python library that automates complex data engineering tasks. The tool has reached 3 million monthly downloads and powers data workflows for more than 5,000...