dbt Labs Report: 72% of Data Teams Use AI. 71% Fear Bad Data. Data Systems Can’t Keep Up

According to the State of Analytics Engineering 2026, the modern data stack is scaling fast, but unevenly. It is also growing faster than the trust and governance mechanisms designed to support it. AI is no longer experimental. It is embedded. 72% of teams now prioritize AI-assisted coding, and more than 77% of leaders are already…

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Salesforce launches Headless 360 to support agent‑first enterprise workflows

Salesforce is packaging its developer and AI tooling, including its vibe coding environment Agentforce Vibes, into a new platform named Headless 360, designed to help enterprise teams build agent-first workflows. The CRM software provider defines agent-first workflows as enterprise processes in which software agents, rather than human users, carry out tasks by directly invoking APIs,…

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Tap into the AI APIs of Google Chrome and Microsoft Edge

With every passing year, local AI models get smaller, more efficient, and more comparable in power with their higher-end, cloud-hosted counterparts. You can run many of the same inference jobs on your own hardware, without needing an internet connection or even a particularly powerful GPU. The hard part has been standing up the infrastructure to…

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Curity looks to reinvent IAM with runtime authorization for AI agents

In 2026, enterprise developers are building and deploying the first generation of powerful, increasingly autonomous AI agents at incredible speed. Now comes the hard part: working out how to secure them. Vendors in the space are facing multiple challenges. To begin with, traditional identity and access management (IAM) tools were never designed to secure anything…

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Measure The Business Value Of Data And Analytics Investments

To advance data‑driven transformation, enterprises need structured approaches that clearly link analytics initiatives to business outcomes and communicate impact consistently. Yet most enterprises still lack mature, repeatable practices for measuring and communicating the value of enterprise investments in data and analytics. That leaves the business impact of these investments unclear. And because direct causation is…

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