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

Partner Content
Forward-deployed engineering is how enterprise AI learns

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

Software engineers' new job isn't writing code — it's designing the boundaries AI agents can't break
Infrastructure
View allThe hardware and platforms underneath enterprise AI.

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

Cursor launches Origin code hosting platform as GitHub outage exposes opening in AI coding race
The developer internet did what the developer internet does.
Events
View allConferences and summits where enterprise AI strategy gets made.

Token Economics: Why Cost Kills More AI Projects Than Hallucinations

Ending the hallucination tax: Governing the backbone of enterprise AI

Data
View allPipelines, architecture, and governance for AI-ready systems.

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

Partner Content
How Heidi built production-ready AI for healthcare at global scale
Presented by MongoDB
Security
View allProtecting AI systems and the data behind them.

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

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.
Technology
View allEnterprise tech coverage through the lens of AI adoption.

Anthropic's Claude Fable 5.1 and Mythos 5.1 arrive with a 75% cost reduction for Fable cache reads

OpenClaw 2.0 is here, ushering in the era of 'multiplayer' AI coding: What it means for enterprises

Nvidia finds that simple linear math can replace costly AI model handoffs

GLM-5.3 hits the API at $1.4/$4.4 per million tokens
Newsroom
View allRAD Amplify Appoints Danny Lee as Sales Director as Creator Ad Spend Heads Toward $44 Billion
Wizerr Launches Engineering AI for Component Manufacturers
Scan.com Raises $220 Million to Build the Largest Medical Imaging Network in the US
BLK: Portfolio Company of Enry’s Island S.p.A., Lists on Euronext Dublin
Video
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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

Visa ships a security AI that patches production code before any human reviews it

Partner Content
When agents act on their own, governance has to live in the data layer
Presented by EDB

GLM-5.3-Flash will likely handle 45% of your AI workloads

Salesforce just put its entire CRM inside Claude — and says you’ll never need its app again
The centerpiece of the announcement is Salesforce in Claude, a plugin for Anthropic's Claude CoWork that ships with 37 pre-built sales skills — covering meeting preparation, deal health reviews, and pipeline analysis — and lets sellers query, update, and act on live CRM data without ever opening Salesforce itself. The product is available to select pilot customers today, with an open beta planned for September and additional skills for other business functions beginning to launch in the third quarter.




