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thenextweb
How organizations view AI-native transformation through better workflows, decisions, and organizational intelligence

Organizations seem eager to bring AI into the workplace. Many begin the journey by focusing on the tool or the model. VarOps, a systems-level AI advisory specializing in capability building in organizations, believes that’s the wrong place to start. According to VarOps, businesses should start by examining how work actually moves through the organisation, as this […]<br /> This story continues at The Next Web [...]

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venturebeat
Mistral AI launches Workflows, a Temporal-powered orchestration engine already running millions of daily executions

Mistral AI, the Paris-based artificial intelligence company valued at €11.7 billion ($13.8 billion), today released Workflows in public preview — a production-grade orchestration layer designed to [...]

Match Score: 116.98

venturebeat
Vibe coding can build your pipeline. It can't explain it six months later

AI coding agents are rapidly accelerating data engineering by generating transformations, pipelines, orchestration workflows, validation tests, and infrastructure configurations from prompts. However, [...]

Match Score: 105.45

blogspot
How I Get Free Traffic from ChatGPT in 2025 (AIO vs SEO)

Three weeks ago, I tested something that completely changed how I think about organic traffic. I opened ChatGPT and asked a simple question: "What's the best course on building SaaS with Wor [...]

Match Score: 81.08

venturebeat
Microsoft announces Copilot Cowork with help from Anthropic — a cloud-powered AI agent that works across M365 apps

If you thought Anthropic was about to run away with the enterprise AI business...you're not totally off the mark, actually.This morning, Microsoft announced "Copilot Cowork" a new cloud [...]

Match Score: 79.19

venturebeat
The agent evaluation gap: Enterprise AI organizations have a reality-alignment problem, not a coverage problem — and most are shipping to production anyway

Across 157 enterprises, organizations are granting AI agents more autonomy while trusting the evaluations meant to gate that autonomy less. Half have already shipped an agent that passed their interna [...]

Match Score: 77.71

venturebeat
As enterprises confront AI agent sprawl, xpander wants them to own their own control and context layer

Enterprise AI has a new infrastructure problem: companies are accumulating agents faster than they are developing systems to govern them.Gartner estimates that the average global Fortune 500 company w [...]

Match Score: 77.51

venturebeat
The agent security gap: 54% of enterprises have already had an AI agent incident, and most still let agents share credentials

Across 107 enterprises, AI agents are being given real access to systems and data while the controls meant to contain them lag behind. More than half have already had a confirmed agent security incide [...]

Match Score: 72.61

venturebeat
Agentic reliability and evaluations : Enterprises that got burned by a bad eval are the most likely to remove humans from the loop, not the least

Across 108 enterprises, trust in automated agent evaluation rose sharply in July — and the failure rate it is supposed to predict did not move at all. The share of organizations that fully trust aut [...]

Match Score: 71.66

venturebeat
The AI context gap: Enterprise AI organizations have a trust problem, not a retrieval problem — and most are still building the fix

Across 101 enterprises, the infrastructure that feeds AI agents their business context is being built faster than it can be trusted. Retrieval-augmented generation is already the default context sourc [...]

Match Score: 71.63