30 stories tagged Enterprise
NTT DATA Group uses ChatGPT Enterprise and Codex to help 9,000 employees automate work, cutting incident analysis from hours to 30 minutes while scaling secure AI adoption across the organization.
Researchers introduce BatchDAG, a system where an LLM generates typed directed acyclic graphs (DAGs) of operations—SQL queries, semantic searches, and parallel fan-outs—to enable scalable, ad-hoc analysis over enterprise-scale datasets without context overflow or linear latency.
A VentureBeat survey of 107 enterprises reveals a critical AI compute gap: companies are accelerating AI infrastructure spending faster than they can track or measure its economics. Most rely on hyperscalers and model-provider APIs, but the next dollar is aimed at specialized compute few use today. A majority plan to switch or add providers within the year. Buying decisions hinge on integration and total cost of ownership rather than token price — fortunate, because most can't see their unit economics clearly, with GPUs sitting at half utilization.
A VentureBeat survey of 101 enterprises reveals that AI agents are producing confident but wrong answers due to missing or inconsistent context. The core issue is trust, not retrieval — and most organizations are still building the governed semantic layer needed to fix it.
A study of 157 enterprises reveals that half have shipped AI agents that passed internal evaluations but failed in production. Only 5% fully trust automated evaluations, yet two-thirds are moving toward fully automated deployments without human oversight. The core issue is not test coverage but a reality-alignment gap between evaluations and real-world outcomes.
A VentureBeat Pulse Research report of 101 enterprises finds that most deployed 'AI agents' are actually simple chatbot wrappers, not true autonomous agents. Anthropic's Claude leads agent orchestration adoption due to reliable multi-step execution, while enterprises deliberately build hybrid control planes to avoid vendor lock-in. Real-time fiscal control over token burn remains rare.
Anthropic and Blackstone launch Ode, a startup that embeds forward-deployed AI engineers inside enterprises to accelerate real-world AI adoption, betting implementation is the next trillion-dollar opportunity.
A VentureBeat survey of 107 enterprises reveals that 54% have already experienced an AI agent security incident or near-miss. Despite this, most companies still let agents share credentials, only a third give each agent its own scoped identity, and just 30% isolate their highest-risk agents. The security stack is largely borrowed from model providers and hyperscalers rather than purpose-built for agents, and spending remains a thin slice of the security budget.
Researchers propose a new system called Context Graphs to make AI agents proactive. This could help AI assistants anticipate needs and surface relevant, actionable information before workers even ask.
A new paper argues that the key to controlling enterprise AI costs lies in the 'harness'—the orchestration layer that manages context, tools, and workflows. Without careful design, AI systems fall into 'token maxing,' where costs grow faster than value. The study shows that a well-designed harness can dramatically reduce token usage and expenses.
Researchers found that tweaking just one skill description can prevent AI routing errors in enterprise chat systems. This discovery could save companies time and money by automating the optimization process.
OpenAI has introduced new tools to help businesses track and manage their ChatGPT Enterprise usage. These features make it easier for companies to control spending and scale AI adoption responsibly.
OpenAI has created a Partner Network with $150 million in funding to help businesses adopt AI. This initiative aims to make advanced AI tools more accessible to companies of all sizes.
Oracle Cloud customers can now access OpenAI's AI models and Codex using their existing cloud commitments. This integration brings enterprise-grade security and governance to AI development.
Researchers propose a way to test AI agents before they go live, ensuring they follow rules, stay safe, and comply with governance standards. This addresses a critical gap in enterprise AI reliability.
OpenAI has made its frontier models and Codex generally available on AWS, giving enterprises a new path to build with OpenAI through the AWS environments, controls, and procurement workflows they already use.
Enterprise AI search startup Glean tripled its annual revenue to $300M, thanks to its ability to help companies save money. The company is thriving even as larger tech giants enter the AI search market.
Cisco is integrating OpenAI's Codex to speed up software development and improve cybersecurity. This partnership aims to automate tasks, reduce errors, and enhance productivity for enterprise teams.
OpenAI and Dell are partnering to make Codex, an AI coding assistant, available in enterprise environments. This means businesses can use AI to help write and debug code while keeping their data secure.
Databricks has integrated OpenAI's GPT-5.5 into its enterprise agent workflows, setting a new standard for AI-powered business tools. This advancement promises to enhance productivity and decision-making for businesses.
OpenAI has launched DeployCo, a team dedicated to helping companies integrate advanced AI into their operations. This makes cutting-edge AI tools more accessible for businesses of all sizes.
Enterprises are moving beyond AI experiments to widespread adoption. They're focusing on trust, governance, and workflow design to make AI truly useful. This shift could mean better AI tools for all of us.
Researchers have created a new benchmark to test how AI agents handle information they can't access due to security restrictions. This helps ensure AI systems provide accurate responses without revealing sensitive data.
Google has introduced Gemini-powered "auto browse" features in Chrome for enterprise users, enabling AI-driven task automation. This move positions Chrome as a competitive AI workspace tool for businesses.