If your organization uses Power BI, you own something most companies chasing AI are desperately trying to build. You just may not know it by name.
Let me explain.
The invisible thing behind every report
Every Power BI report you have ever opened sits on top of a semantic model. Every single one. No exceptions. The report is the visible part; the semantic model is the machinery...
Welcome to the August 2026 Power BI Feature Summary! This month includes updates across reporting, modeling, data connectivity, mobile, embedded analytics, and developer experiences, with a mix of generally available enhancements and new preview capabilities. Let's take a look at what's new.
Table of Contents
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Events and Announcements...
Power BI Projects (PBIP) make reports and semantic models file-based, enabling source control, automation, and other developer workflows. You can edit those files directly in a code editor or through external tools. Until now, changes made outside of Power BI Desktop wouldn't appear until you restarted the application. With this update, Power BI Desktop detects those changes automatically,...
Much of the conversation around agentic AI focuses on autonomy. How much work can an agent complete on its own? How many decisions can it make? How far can organizations remove people from the process? Those questions make sense, but they can also obscure where businesses are finding value today. [...]
The post The new division of labor between people and AI agents appeared first on SAS...
Trade events and conferences are packed with fresh perspectives, meaningful conversations, and ideas. But with so much happening at once, the experience can quickly become overwhelming … making it easy to miss in-person connections and creative opportunities.
An internal payment agent used by five employees may need more orchestration than a customer-facing assistant serving 50,000 users that only drafts responses for human review. The payment agent can move money before anyone intervenes. The drafting assistant remains behind a human checkpoint. That contrast exposes the problem with treating orchestration as a late-stage requirement...
The...
A recent Phocas survey found that half of the distribution respondents are testing general-purpose AI tools like ChatGPT and Claude on their own, outside of any business system. That's a reasonable thing to do but it is also where generic AI gets the numbers wrong for distributors in ways that are hard to know, because the answer looks exactly like a right one. It is important to know...
Claude now marks AI-generated content. But it does not mark everything the same way. Anthropic currently uses embedded watermarks for text and signed C2PA provenance metadata for supported files. Code sits somewhere in between: it is still text, but its structure gives the watermark fewer places to work. I went into detail about Claude’s watermarks […]
The post How to Remove Claude...
Enterprise leaders face a growing gap between AI ambition and the fragmented data, legacy systems, and cultural friction that prevent pilots from becoming scalable value.
In this episode, Julian Tang, Chief Operations Officer for the Innovation Office at BlackRock, examines how unified data foundations, modernized infrastructure, and transparent governance enable organizations to...
Standing up an agent as a production service on Kubernetes means five YAML files, a few hundred lines between them, and (in most enterprises) a ticket in someone else’s queue. On the Workload API it means one spec file, one command, and about five minutes to a live URL. No manifests, no kubectl, no namespace,...
The post Stop managing infrastructure: A new way to deploy AI agents and...