Search: “enterprise”

arXiv:2607.13040v1 Announce Type: cross Abstract: This paper examines where final authority should sit once capable AI systems are embedded in organizational workflows. It compares two governance mode

arXiv:2607.13088v1 Announce Type: cross Abstract: Large Language Models (LLMs) are rapidly moving from research settings into the wild, deployed on enterprise infrastructure, personal devices, and edg

arXiv:2607.12188v1 Announce Type: new Abstract: Enterprise Retrieval-Augmented Generation (RAG) deployments face a critical governance gap: while LLM generation cost is metered per token, the retrieva

Interrupt is hitting the road this fall: 📍 NYC- September 24 📍 London- October 13 Info + RSVP: https://interrupt.langchain.com/ At Interrupt, @RCUmmadisetti and @kordelfrance from @Toyota's enterprise

congrats on the launch! As the task horizons on agents gets longer, we need more work evaluating and training models to be better in long-running, open-ended, evolving real-world environments. Today w

arXiv:2607.08092v1 Announce Type: cross Abstract: Privacy-preserving clustering is critical for analyzing sensitive data in healthcare, cybersecurity, and enterprise applications, where maintaining da

Evolving from a traditional software as a service (SaaS) platform into a next-generation agentic AI platform meant orchestrating multiple specialized agents across long-running enterprise programs. Ea

arXiv:2607.08065v1 Announce Type: new Abstract: LLM-as-judge (Zheng et al., 2023) is increasingly the default for evaluating AI systems in enterprise pipelines, often scaled to ensembles (Verga et al.

OpenAI announced a 5.6 model release alongside three major product launches: ChatGPT Work (an enterprise offering), a new ChatGPT desktop application, and an unspecified third product feature. The ann

Lyzr Inc., a startup that helps enterprises build artificial intelligence agents, is reportedly raising a funding round worth about 100 million. Bloomberg today cited sources as saying that the deal h

Jeff Bezos’s rocket company Blue Origin Enterprises LP is reportedly looking to raise money from outside investors for the first time in more than two decades. The company is in talks to secure 10 bil

As agentic AI accelerates enterprise transformation, data sovereignty is crystallizing from a compliance checkbox into a foundational strategic imperative — one that determines not just where data liv

Enterprise artificial intelligence startup Corvic AI Inc. today released Corvic V5, a version of its platform built around reusing prompts, so when one gets the right answer, V5 can save it as a workf

Enterprise artificial intelligence infrastructure startup Mindbeam AI Inc. today published research showing how generative AI can aid in the discovery of safer pain-relief drugs. The company used acet

As organizations scale modern workloads — from high-throughput databases and network/security appliances to real-time analytics and AI/ML inference — network and block storage performance can quickly

Supply chain artificial intelligence startup DeepFabric today announced the general availability of an AI agent platform built for supply chain execution, and a roster of enterprise customers is alrea

In the agentic era, AI is evolving from answering questions to reasoning and taking action. Companies who want to lead in this next phase of AI need computing infrastructure that’s designed and optimi

Introducing the NemoClaw Deep Agents Blueprint, a reference architecture for building open agent systems developed with @NVIDIA ✅ A fully open stack enterprises can own and customize ✅ Benchmark-leadi

Keyfactor Inc., a provider of software tools that help enterprises encrypt their data, has raised more than 1 billion from investment firm Summit Partners. The company announced the deal on Monday. Ke

Enterprise artificial intelligence infrastructure has become as critical to AI success as the models themselves. As organizations move AI into production, attention is increasingly shifting toward the

The automotive industry is at a pivotal crossroads as it hits the gas on adopting new technology. The era of the traditional connected vehicle has shifted into the age of the software-defined vehicle

Elon Musk posted on X (formerly Twitter) that space-based infrastructure or expansion is the necessary approach for achieving scalability at enterprise or global levels. The statement reflects Musk's

For more than 35 years, Dell Technologies Inc. and Microsoft Corp. have collaborated on a wide range of enterprise technology offerings. From support for Azure hybrid cloud to server-based Windows sol

Clem Delangue argues that AI companies should not be referred to as 'labs,' characterizing such terminology as pretentious and inaccurate since these organizations operate as commercial enterprises ra

The future of the firm is a learning loop in which human capital and token capital compound. With our new Frontier Co., our ambition is to help every enterprise build its own AI capability, and to hel

arXiv:2606.31639v1 Announce Type: cross Abstract: Large language models are no longer only text generators. They are increasingly embedded in retrieval pipelines, enterprise assistants, coding environ

Significant contributors to this article include Sneha Aradhey, Software Engineer, Google Kubernetes Engine, and Michael MacDonald, Sr Software Engineer, Google Cloud Managed Lustre. Enterprise produc

In this post, you will learn how metadata works across configuration, ingestion, and retrieval, explore enterprise use cases including multi-agent and multi-tenant architectures, and discover best pra

A study from @Stanford showed that 71.3% of chatgpt queries could be accurately answered by a local model. I suspect a major part of enterprise AI workloads could be run locally too for free (compared

arXiv:2606.30479v1 Announce Type: cross Abstract: Mitigating an observed adversary in an enterprise network typically takes weeks of expert work: an analyst derives a mitigation tailored to that adver

Businesses run on fast decisions, but the teams who hold the answers are often buried under a backlog of routine requests, leaving users waiting in line for insights they need now. Today, we are bring

arXiv:2606.28601v1 Announce Type: cross Abstract: Recent progress in Text-to-SQL has been driven by stronger language models and prompting strategies, yet performance on real enterprise benchmarks suc

Google LLC is enhancing its generative artificial intelligence capabilities for creators with the debut of a pair of new media-focused models in the Gemini Enterprise Agent Platform. The new additions

arXiv:2604.02371v2 Announce Type: replace-cross Abstract: Visual long-document understanding is critical for enterprise, legal, and scientific applications, yet the best performing open recipes have n

Editor’s note: This post is part of Into the Omniverse, a series focused on how developers, 3D practitioners, and enterprises can transform their workflows using the latest advances in OpenUSD and NVI

arXiv:2606.28387v1 Announce Type: cross Abstract: Enterprise text-to-SQL systems often fail before SQL is generated: the model receives the wrong schema context. Modern warehouses contain thousands of

Enterprise investment in AI is booming. Gartner is calling 2026 an “inflection year” for organizations to align their AI projects with strategic business objectives. As the pressure to prove ROI mount

In the agentic era, the role of the database has fundamentally changed. It is no longer a passive repository; it’s a critical context engine designed to ground generative AI apps, models and power aut

AI tokenization has become essential for enterprises seeking to balance data security with innovation, enabling sensitive data to be used safely in AI workloads without compromising utility or complia

This post likely presents a before-and-after comparison of some aspect of Tesla, SpaceX, X (formerly Twitter), or another Musk-led enterprise, showing the contrast between the company's initial state

arXiv:2606.25622v1 Announce Type: cross Abstract: The NIS-2 Directive mandates robust Risk Management from thousands of small and medium enterprises. To ensure compliance, companies rely on establishe

AI is booming. New use cases are emerging each day. To capitalize on the technology’s potential, enterprises require data at scale. In many cases, though, the relevant information is blocked or unstru

CData Software Inc. today announced three products aimed at simplifying access to enterprise data for developers building artificial intelligence applications. They include a free Connect AI Developer

Companies are asking how to build specialized AI that fits with the way their workflows actually run. The first wave of enterprise AI was about access. Companies experimented with new frontier and ope

Realizing value from AI investment has become the ultimate prize for most enterprises today. This requires the ability of data and compute to work together, a key mission for the partnership between N

arXiv:2606.22873v1 Announce Type: new Abstract: Vision-language models (VLMs) are increasingly deployed in consumer, medical, financial, and enterprise applications. This broad deployment expands the