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Deep insights for enterprise AI, data, and security leaders
How enterprises coordinate and scale AI in production.

Partner Content
Forward-deployed engineering is how enterprise AI learns

Frontier models can recover up to 65% of facts they can't directly recall — just by thinking longer

Your files stay put: Perplexity’s hybrid AI keeps confidential data off the cloud
The company says it is the first time an AI agent can begin a task in the cloud and dynamically hand off the confidential portions of that same task to a model running on the user's own hardware, without restarting the job or losing context. The feature becomes available today through Perplexity's desktop app for enterprise customers that opt in, as well as Pro and Max subscribers, on any Apple silicon Mac running macOS 15 or later.

Partner Content
AI is redefining the workforce — and most planning models aren’t ready
The hardware and platforms underneath enterprise AI.

Microsoft AI’s MAI-Transcribe-2 undercuts OpenAI, Google and ElevenLabs on price and speed
That figure deserves a pause. When Microsoft AI shipped the first model in this line just five months ago, it charged $0.36 an hour. Thursday's early-bird price cuts that by roughly 72%. For an enterprise processing 100,000 hours of call-center audio a year — a modest volume for a large bank or telecom — the bill drops from $36,000 to $10,000. At that level, transcription stops being a line item anyone argues about.

Perplexity partners with Nvidia to launch Portable Computer, a fully local AI agent with zero token costs
The launch, developed in close partnership with Nvidia, is one of the most aggressive attempts yet to move serious AI agent workloads off the cloud and onto local devices. The model, the user's files, and the work itself can all stay on the machine. Work completed locally consumes no billing credits, and the company says every task starts on the device by default — with the system asking permission before sending any individual step to a more powerful frontier model in the cloud.

IBM’s next-gen mainframe chip is the first to run Arm and Z workloads on the same cores
The chip, which will power the next generation of IBM Z and LinuxONE systems, is the first dual-architecture mainframe processor ever built. It is designed to let enterprises run the vast and fast-growing ecosystem of Arm-native Linux software — including the AI frameworks that increasingly define modern infrastructure — directly alongside the z/OS transaction-processing workloads that anchor the world's banks, insurers, and governments.

Serval’s super agent Catalyst creates roving background agents to identify and fix IT issues before they’re ticketed

Enterprises put non-Nvidia chips 14 points ahead of Nvidia's next-gen GPUs on their evaluation lists

Cohere Parse 5 loses the benchmark on points. It wins on cost per page.

85% of companies burned by an AI mistake are racing to cut the humans who might catch the next one

Enterprises with AI context layers report agent failures at more than twice the rate of those without one

Google’s Gemini 3.8 Flash is built for agents, while its Cyber twin hunts vulnerabilities

Stolen Claude session cookies can reach corporate Gmail through grants no IT admin can revoke

Closing an Azure OpenAI assistant's retrieval gap didn't take a new identity platform. It took one filter and a narrower assistant.

Partner Content
Identity and permissions aren’t enough to govern AI agent behavior
Enterprise tech coverage through the lens of AI adoption.

'Welcome to the AGI era': OpenAI launches GPT-6 Astra

Partner Content
The AI visibility gap: Why great brands disappear from AI answers
Presented by Contentful

Meta prices Muse Voice Transcribe at $0.18 an hour, with real-time diarization for 20+ speakers: a steal for enterprises?

Anthropic's Claude Fable 5.1 and Mythos 5.1 arrive with a 75% cost reduction for Fable cache reads
ZoomInfo Announces Inducement Grants Under Nasdaq Listing Rule 5635(c)(4)
Caroline Rubach Named Managing Director at Daversa
TSVC Corrects Foothill Ventures Advertising: No One At Foothill Was Involved In TAF1’s 2011 Zoom Investment
RAD Amplify Appoints Danny Lee as Sales Director as Creator Ad Spend Heads Toward $44 Billion
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OpenClaw 2.0 is here, ushering in the era of 'multiplayer' AI coding: What it means for enterprises

Software engineers' new job isn't writing code — it's designing the boundaries AI agents can't break

AI agents need their own identity before they need a gateway
Enterprise AI has entered a new era. Organizations are rapidly moving beyond assistants that answer questions to autonomous agents capable of reasoning, invoking tools, accessing enterprise applications, coordinating with other agents, and completing multi-step business workflows with minimal human intervention.

AI agents that pass authentication can still drift, expose data, or get memory-poisoned
There is a clear repeating trend in agent deployments: The gateway is the first control teams reach for, but it is the one they are least ready to run. This is because gateways sit on top of identity and attribution layers that are mostly not there.

Partner Content
The three layers of agentic AI security: A defense-in-depth architecture for autonomous agents
Presented by Nutanix

Meta researchers taught an 8B AI model to match Claude Opus 4.5 — without the frontier price tag

Partner Content
Enterprise AI's real risk isn't autonomous agents. It's the complexity between them.
Presented by Gravitee





