Across industries, enterprises are pouring budget and talent into AI initiatives — yet many of those projects stall, underperform, or never make it into meaningful production use. Recent reports on AI project failure rates have amplified a hard truth: the… Read More »Why So Many Enterprise AI Projects Fail — And Three Cultural Fixes That Work
Anthropic is deepening its push into enterprise workflows by extending its Claude AI model more tightly into Microsoft Excel and PowerPoint. With new shared-context capabilities and a system of reusable “Skills” for repeatable workflows, the company is positioning Claude as… Read More »Anthropic Extends Claude Across Excel and PowerPoint With Shared Context and Reusable Skills
Multi-agent AI systems are moving from research demos into production software engineering, cybersecurity, and operations workflows. But they come with a hard economic constraint: they can generate up to 15x the token volume of standard chat use cases, putting serious… Read More »Inside Nvidia’s Nemotron 3 Super: A 120B-Parameter Hybrid Model Built for Multi‑Agent Workloads
Anthropic is adding a new layer to how enterprises can buy and deploy AI. The San Francisco-based startup has launched Claude Marketplace, a program that lets organizations with existing Anthropic spend commitments use a portion of that budget to purchase… Read More »Inside Anthropic’s Claude Marketplace: A New Channel for Enterprise AI Tools
OpenAI’s latest model, GPT-5.4, is explicitly pitched as more than another incremental chatbot upgrade. With native computer-use capabilities, long-context planning, and deep spreadsheet integrations for finance teams, OpenAI is aiming this release at sustained, multi-step professional workflows rather than one-off… Read More »OpenAI’s GPT-5.4 Aims Beyond Chat: Native Computer Use, Tool Search, and Finance-Grade Excel Skills
Google Labs’ latest update to Opal, its no-code visual agent builder, is easy to misread as a modest product enhancement. In practice, it amounts to a publicly accessible reference architecture for how serious enterprise AI agents are likely to be… Read More »Google’s Opal Update Shows How Enterprise AI Agents Will Really Be Built
The abrupt rupture between Anthropic and the U.S. government is more than a political flashpoint. For enterprises that work with, or sell into, government and other highly regulated sectors, it is a live-fire stress test of AI supply chains, vendor… Read More »Anthropic vs. the Pentagon: How to De-Risk Your AI Stack With Interoperability and Backup Models
AT&T’s AI platform was quietly burning through roughly 8 billion tokens every day. For most enterprises, that level of usage is a sign that adoption is working. For Andy Markus, AT&T’s chief data officer, it was also a warning: pushing… Read More »Inside AT&T’s Agentic AI Stack: How 8 Billion Tokens a Day Led to a 90% Cost Cut
Anthropic is positioning its new Claude Cowork platform as the missing piece between experimental AI agents and dependable enterprise-grade automation. At its virtual “Briefing: Enterprise Agents” event, the company argued that 2025’s rush into AI agents mostly yielded stalled pilots… Read More »Anthropic’s Claude Cowork Aims to Turn Enterprise AI Pilots Into Production Workhorses
As autonomous AI agents like OpenClaw spread across employee laptops and desktops, CISOs and IT leaders are confronting a familiar problem in a new form: powerful, ungoverned technology deployed at the edge of the enterprise, well ahead of formal policy.… Read More »Runlayer Puts Guardrails Around OpenClaw: Turning Shadow Agents into Governed Enterprise Tools
Google has introduced Gemini 3.1 Pro, a mid-cycle upgrade to its flagship Gemini 3 Pro model that centers on one core idea: adjustable reasoning on demand. Rather than a wholesale architecture change, this “0.1” release turns the model into a… Read More »Inside Gemini 3.1 Pro: How Google’s ‘Deep Think Mini’ Changes Enterprise AI Reasoning
Enterprise teams are increasingly betting on AI agents to handle coding, debugging, and software maintenance. Yet many discover the hard way that their agents are brittle: introduce a new library, tweak a workflow, or switch models, and carefully engineered systems… Read More »Group-Evolving Agents: How Collective AI Frameworks Match Human-Engineered Systems at No Extra Inference Cost