Search: “enterprise”

arXiv:2606.28370v1 Announce Type: cross Abstract: Enterprise business intelligence queries span structured warehouses and unstructured document repositories -- modalities with fundamentally different

Couchbase Inc. is trying to solve one of the hardest problems in enterprise artificial intelligence today: turning brittle, chat-style pilots into production-grade agents capable of remembering, reaso

ScarfBench is a benchmarking framework designed to evaluate AI agents' capabilities in migrating enterprise Java applications to modern frameworks. The benchmark likely assesses how well AI systems ca

TokenBudgeting examines enterprise spending patterns and cost management strategies related to AI token consumption, based on SemiAnalysis's direct conversations with corporate customers. The analysis

TrueFoundry Inc., a startup providing management for artificial intelligence workloads, announced Wednesday that it acquired open-source cloud-agnostic enterprise machine learning platform Seldon Tech

Voice artificial intelligence testing startup Coval Inc. revealed today that it has raised 28 million in new funding to expand its platform as more enterprises put voice agents into production. Founde

Jagmeet Singh / TechCrunch: Hang Ten Systems, led by former Infosys CEO Vishal Sikka, launches with a $32M seed led by Mayfield to help enterprises use AI to run software at a lower cost — For decades

The conversations at last week’s AWS Summit NYC 2026 showed that AI evolution is entering a new phase. From physical robots tackling labor shortages to agentic systems reshaping enterprise operations,

Enterprises are increasingly evaluating alternative cloud providers beyond the major hyperscalers (AWS, Azure, Google Cloud) due to cost, performance, and vendor lock-in concerns. This shift reflects

Hot take: GLM 5.2 might be the first open/public model that actually changes the enterprise AI cost equation. I played with it for a few hours today after friends told me to stop ignoring it. I expect

Samantha Subin / CNBC: Alex Karp says Palantir's enterprise customers are “unhappy” with how the frontier labs are operating, believing the labs only care about tokenmaxxing — - Palantir CEO Alex Karp

Databricks announced a storage ecosystem that enables organizations to govern and manage enterprise data across multiple storage locations and cloud environments. The solution addresses the need for u

Together AI has achieved ISO 27001:2022 certification, demonstrating its commitment to information security management and data protection standards required for enterprise AI deployments. This certif

AI is reshaping AI cost management, forcing organizations to rethink how they create and measure value. As AI spending accelerates, enterprises are seeking new ways to connect AI investments with meas

As generative AI accelerates from a product experiment into a core enterprise operating cost, the discipline of FinOps is evolving rapidly around managing AI spend, introducing a layer of complexity t

Enterprise artificial intelligence context startup Jedify Inc. today announced that it has raised 24 million in new funding to build what it calls context graphs that give AI agents the business knowl

Ram Iyer / TechCrunch: New York-based Jedify, whose platform connects to enterprises' knowledge sources via APIs to build a “context graph” for AI agents, raised a $24M Series A — AI vendors promote t

As enterprise AI budgets hit their limits earlier each year, the pressure to fund new agentic and inference workloads without expanding total spend is forcing a fundamental rethink of infrastructure a

arXiv:2601.20408v2 Announce Type: replace-cross Abstract: Enterprise LLM deployment faces a critical scalability challenge: organizations must optimize models systematically to scale AI initiatives wi

Enterprise AI data strategy is separating the organizations that execute on AI from those that aspire to it, and the difference boils down to whether the data foundation was built before the AI was de

arXiv:2606.05836v1 Announce Type: new Abstract: Large language models have substantially advanced Text-to-SQL systems, yet applying them to enterprise-scale databases remains challenging. Real-world d

Enterprise AI usage leaderboards are BAD and lead to the wrong behaviors. Employees feel pressure to hit higher token usage numbers without any of the positive work transformation. I’ve heard directly

Finally! the first eval ship from cog!!!!!!!!!! 👼🏼 To contextualize: @METR_Evals cap out at ~16 hours. Cog has private enterprise evals up to 100hrs, and is confident enough to put a financial guarant

Artificial intelligence is rewriting how software gets built inside large enterprises — not just at the tooling level, but at the level of culture, governance and organizational change. The rise of vi

The Information: Nvidia acquired Kumo, which sells predictive AI software to enterprises, a source says for 400M+; PitchBook: Kumo raised 37M at a 250M valuation in 2022 — Nvidia has bought Kumo AI, a

Pinecone Nexus has integrated with Microsoft OneLake, enabling AI agents to access and work directly with enterprise data stored in OneLake without requiring data movement or copying. This integration

Databricks Genie enables enterprise conversational intelligence across multiple industries through partner technology and functional solutions, allowing organizations to interact with data and systems

Enterprise AI programs are moving beyond experimentation, but agentic AI maturity — the ability to run governed, autonomous workflows at production scale — remains out of reach for most organizations.

Enterprise AI adoption at scale requires moving beyond large language models to implement agent logic systems that can handle complex reasoning, planning, and decision-making autonomously. Agent-based

📢Qwen3.7-Max just hit #3 on ITbench-AA — a fresh benchmark testing how well models handle real-world enterprise IT tasks, agentic-style. 🔧Agentic era, go with Qwen.🏃🏃 Artificial Analysis and IBM Resea

With artificial intelligence tools proliferating across the enterprise world, observability is a more critical sphere than ever before. Riverbed Technology LLC, which specializes in unified observabil

Cisco and OpenAI partnered to integrate OpenAI's Codex AI model into Cisco's enterprise engineering tools to enhance software development and automation capabilities. The collaboration aims to improve

ITBench-AA is a new benchmark developed by Artificial Analysis and IBM that evaluates frontier AI models on agentic enterprise IT tasks, with results showing that current leading models score below 50

arXiv:2605.24183v1 Announce Type: cross Abstract: We introduce AvalancheBench, a benchmark for evaluating enterprise data agents through latent world recovery. AvalancheBench improves on existing benc

arXiv:2605.22634v2 Announce Type: replace-cross Abstract: Skills have become a practical packaging mechanism for agent instructions, workflows, scripts, and reference materials. In enterprise settings

arXiv:2605.23459v1 Announce Type: cross Abstract: Enterprise AI systems, built on large language models, retrieval pipelines and autonomous agents, introduce a class of risks that traditional software

“We’re focused on providing the best in class document understanding and OCR technologies.” In partnership with @Wing_VC's 2026 Enterprise Tech 30, @jerryjliu0, Co-Founder & CEO of @Llama_Index, visit

Disaggregated infrastructure is displacing the all-in-one data center stack — and the economics of AI are making that reality impossible to ignore. The vast majority of enterprise data still resides o

OpenAI has been recognized as a Leader in Gartner's 2026 evaluation of enterprise coding agents, highlighting its competitive position in AI-powered code generation and software development tools. Thi

The AI PC is being fundamentally redefined as agentic workloads push the boundaries of what local compute can deliver — and as runaway cloud token costs force enterprises to rethink where inference ac

Enterprise AI governance is becoming increasingly important as organizations race toward ROI, demanding AI systems that are scalable, predictable and built to deliver measurable business outcomes. Wit

Preeti Singh / Bloomberg: Anthropic, Blackstone, and Hellman & Friedman's unnamed enterprise services JV buys Fractional AI, its first deal; sources say Fractional ends its OpenAI deal — The new artif

Enterprises have reached an agentic inflection point where the shift from AI-first experimentation to AI-native operations is forcing a fundamental redesign of infrastructure and business processes. T

Replit Enterprise is a commercial offering from Replit designed for organizations and businesses seeking advanced collaborative coding and development capabilities on the Replit platform. This likely

Enterprises have figured out how to stand up AI agents, but agent management is another problem entirely. The agentic moment is forcing organizations to interrogate everything, including the operating

Curated AI ecosystems are becoming the defining architecture of enterprise AI. The shift does not announce itself with spectacle. It shows up in procurement decisions, architecture diagrams and the sl