Claude can review data, check code, write reports, and prepare presentations, but teams still end up repeating the same structure, validation rules, company standards, and final-check instructions in every conversation. That repetition wastes time and often leads to inconsistent results. Custom Skills solve this by packaging reusable instructions, workflows, templates, scripts, examples,...

The visionary PhysioNet platform launched 25 years ago, based on a system developed at MIT in the 1970s. It has become one of the most comprehensive biomedical and clinical data repositories in existence.

Vena has entered into a definitive agreement to acquire Morpheo AI, an enterprise agentic data platform company, subject to customary closing conditions. With the acquisition, Vena is introducing Vena Omega, a cumulative context engine for Vena AI. The deal matters because it shifts the AI-in-finance discussion from model size to business context. Finance teams do […]

The market’s priorities are clear. They just don’t match the headlines. In the BARC BI & Analytics Survey 26 (n=857), 66% of respondents rate data security and privacy as very important, and 62% say the same about data quality management. By comparison, agentic AI ranks at just 17%. Align your budget with the headlines, and […]

Most companies can tell you down to the euro how much they invest in data and AI. Flip the question around and the room goes quiet: which business decision does that spending make faster, cheaper, or safer? We see this gap in our advisory work and in BARC research: 87% of executives prioritize data-driven transformation, […]

For more than a decade, AI has advanced by training ever-larger models on ever-larger datasets. But as high-quality training data becomes harder to find and pretraining grows increasingly expensive, researchers are looking for new ways to keep foundation models improving. In this episode, Damian Borth, professor of AI and machine learning at the University of St. Gallen, argues we’ve been...

A persistent gap remains between what modern manufacturing technology makes possible and how day‑to‑day work is still executed, with paper workflows, limited machine visibility, and siloed data preventing real operational control.   In this episode, Sebastian Dykas, Director of Manufacturing, Engineering, and Maintenance at Smith+Nephew, examines with host Marilie Fouché how tighter...

AI-agent development has progressed through overlapping phases: prompt engineering, context engineering, tool use, autonomous loops, memory systems, and multi-agent coordination. A newer focus is graph engineering, which treats AI applications as explicitly designed workflows rather than a single autonomous agent. Graph engineering defines how agents, tools, deterministic functions,...

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Every marketing team runs on research: Buyer profiles, competitive analysis, audience insights, content hooks. This is the intelligence work that feeds strategy and happens every day. It just rarely gets called research.