Claude Cowork shifts AI from chat-based assistance to task delegation. Instead of giving users instructions, it performs actions directly on the user’s computer, files, applications, and browser workflows. Combined with Playwright MCP, Claude Desktop can open pages, click buttons, fill forms, extract data, and debug interfaces in a far more structured way than screenshot-based automation....
Campaigns keep shipping. Dashboards keep glowing. But scratch the surface, and a harder truth emerges: Many teams repeat last year’s playbooks while markets, buyers, and channels move faster than they do. The risk is not doing too little. It is learning too slowly. That risk is rising. The majority of firms now default to playing it safe, […]
In this episode, Jure Leskovec, co-founder and chief scientist at Kumo and professor of computer science at Stanford, joins us to explore two fronts of his work: AI for science and relational deep learning. We begin with AI Virtual Cell, a multiscale effort to learn data-driven representations from proteins to cells to patients using single-cell RNA-seq data, protein language models like ESM,...
The reason enterprise AI programmes stall is not the technology — it is the sequence in which decisions are made before and after the pilot succeeds. In this episode, Ronny Fehling, Chief AI Transformation Officer at HTEC, examines why AI initiatives lose momentum at the production threshold and what organisational conditions determine whether they make it through. The discussion covers...
Author: Katie Murray, Senior Program Manager - Power BI continues to evolve with updates that make it easier to explore data, generate insights, and build more polished reports. This month’s release brings improvements across Copilot and AI experiences, reporting and modeling enhancements, new data connectivity flows, and updates to visualizations—helping you move faster from data to...
The BARC Score Data Intelligence Platforms 2026 evaluates vendors delivering enterprise-wide data intelligence capabilities across search & discovery, data governance, and data marketplace use cases. Now in its fourth edition, the report provides independent analysis for decision-makers navigating a market shaped by three converging trends: AI-driven automation, AI/ML assets as first-class...
In fünf Monaten haben sich Tabular Foundation Models von einer Nische zu einer breit anerkannten Plattformkategorie entwickelt, die Milliarden an Investitionen, große Übernahmen und wachsende Aufmerksamkeit von Anbietern auf sich zieht. Wenn Sie mit strukturierten Unternehmensdaten arbeiten, und das tun die meisten Organisationen, lohnt es sich, diese Entwicklung zu beobachten.
In the span of five months, tabular foundation models have gone from a niche research topic to a category attracting billions in investment, major acquisitions, and growing vendor attention. If you work with structured enterprise data, and most organizations do, this is a shift worth watching. Let’s review what happened in chronological order January 2026: […]
pandas remains the default choice for notebooks, exploratory analysis, visualization, and machine learning workflows. Polars focus on fast, memory-efficient DataFrame processing, while DuckDB brings a SQL-first approach for querying local files and embedded analytics. Each tool fits a different kind of local data workflow. In this article, we compare pandas, Polars, and DuckDB across...
Rate Limiting vs. Quota Reservations: when to use each You have a single gpt-oss-20b deployment. Six teams want to use it. Marketing is running batch summarization jobs at 3am. The fraud team needs sub-second responses 24/7. An intern’s Jupyter notebook is accidentally hammering the endpoint in a tight loop. And your GPU bill is already...
The post A practical guide for platform teams...