Our system did one thing, and it did it well: It turned natural-language questions into API calls.The users were analysts, account managers, and operations leads. They knew what data they needed, but assembling it manually meant pulling from four dashboards, two BI tools, and a Salesforce report builder. With our system, they typed the request in plain English. A request like "Compile a report on sales volume for January through... Read more ›
0
Presented by ArmAI is no longer confined to the cloud or data centers. Increasingly, it’s running directly where data is created — in devices, sensors, and networks at the edge. This shift toward on-device intelligence is being driven by latency, privacy, and cost concerns that companies are confronting as they continue their investments in AI. For leadership teams, the opportunity is clear, says Chris Bergey, SVP and GM, of Arm’s... Read more ›
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Google Cloud has introduced a big update in a bid to keep AI developers on its Vertex AI platform for concepting, designing, building, testing, deploying and modifying AI agents in enterprise use cases.The new features, announced today, include additional governance tools for enterprises and expanding the capabilities for creating agents with just a few lines of code, moving faster with state-of-the-art context management layers and one-click deployment, as well as... Read more ›
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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 constrained budgets. The modern observability landscape has many tools that... Read more ›
0
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 pricing. Uber famously introduced surge... Read more ›
0
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 company's Agent Bricks technology earlier this... Read more ›
9
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 operation that allows a model to look back across... Read more ›
2
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 document sets.Snowflake is tackling this limitation head-on with a comprehensive platform strategy announced at its BU Read more ›
3
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 insights professionals surveyed in August 2025 by QuestDIY, a research platform owned by... Read more ›
0
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 databases even without fine-tuning or additional training.Walter Sun, SAP's... Read more ›
2
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 going to do the right thing for... Read more ›
15
I’m thrilled to announce a fantastic new addition to our leadership team: Karyne Levy is joining VentureBeat as our new Managing Editor. Today is her first day.Many of you may know Karyne from her most recent role as Deputy Managing Editor at TechCrunch, but her career is a highlight reel of veteran tech journalism. Her resume includes pivotal roles at Protocol, NerdWallet, Business Insider, and CNET, giving her a deep... Read more ›
2
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 over 5,000 companies across regulated industries including finance, healthcare and manufacturing. That technology is getting... Read more ›
71
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 such as ChatGPT and Gemini, has raised $20 million in a bridge SAFE round at a $750 million valuation cap, bringing its total funding to nearly $60 million, VentureBeat can exclusively reveal.The round, completed in under a week, comes amid heightened interest... Read more ›
8
An international team of researchers has released an artificial intelligence system capable of autonomously conducting scientific research across multiple disciplines — generating papers from initial concept to publication-ready manuscript in approximately 30 minutes for about $4 each.The system, called Denario, can formulate research ideas, review existing literature, develop methodologies, write and execute code, create visualizations, and draft complete academic papers. In a demonstration of its versatil Read more ›
1
The recent controversy surrounding Google’s Gemma model has once again highlighted the dangers of using developer test models and the fleeting nature of model availability. Google pulled its Gemma 3 model from AI Studio following a statement from Senator Marsha Blackburn (R-Tenn.) that the Gemma model willfully hallucinated falsehoods about her. Blackburn said the model fabricated news stories about her that go beyond “harmless hallucination” and function as a defamatory... Read more ›
0
For more than three decades, modern CPUs have relied on speculative execution to keep pipelines full. When it emerged in the 1990s, speculation was hailed as a breakthrough — just as pipelining and superscalar execution had been in earlier decades. Each marked a generational leap in microarchitecture. By predicting the outcomes of branches and memory loads, processors could avoid stalls and keep execution units busy. But this architectural shift came... Read more ›
0
Recently, there has been a lot of hullabaloo about the idea that large reasoning models (LRM) are unable to think. This is mostly due to a research article published by Apple, "The Illusion of Thinking" Apple argues that LRMs must not be able to think; instead, they just perform pattern-matching. The evidence they provided is that LRMs with chain-of-thought (CoT) reasoning are unable to carry on the calculation using a... Read more ›
11
Every SOC leader knows the feeling: drowning in alerts, blind to the real threat, stuck playing defense in a war waged at the speed of AI. Now CrowdStrike and NVIDIA are flipping the script. Armed with autonomous agents powered by Charlotte AI and NVIDIA Nemotron models, security teams aren't just reacting; they're striking back at attackers before their next move. Welcome to cybersecurity's new arms race. Combining open source's many... Read more ›
0
Presented by CelonisAI adoption is accelerating, but results often lag expectations. And enterprise leaders are under pressure to prove measurable ROI from the AI solutions — especially as the use of autonomous agents rises and global tariffs disrupt supply chains.The issue isn’t the AI itself, says Alex Rinke, co-founder and co-CEO of Celonis, a global leader in process intelligence. “To succeed, enterprise AI needs to understand the context of a... Read more ›
0
OpenAI has introduced Aardvark, a GPT-5-powered autonomous security researcher agent now available in private beta.Designed to emulate how human experts identify and resolve software vulnerabilities, Aardvark offers a multi-stage, LLM-driven approach for continuous, 24/7/365 code analysis, exploit validation, and patch generation!Positioned as a scalable defense tool for modern software development environments, Aardvark is being tested across internal and external codebases. OpenAI reports high recall and. Read more ›
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13.06.2026 14:51
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