Blog - AI & Machine Learning

If you are building a product using the SaaS model (or buying such products), the main question now sounds different. It is no longer "should we add AI," but "where exactly will AI deliver a measurable impact, and how do we ensure we don't lose user trust?"

A lot of people still treat vibe coding skeptically — sometimes even dismissively. That reaction is understandable: it challenges long-held beliefs about what “real” engineering looks like. But skepticism as a default stance is the wrong strategy in twenty-twenty-six. Whether we love it or hate it, vibe coding is becoming part of how software is […]

Software delivery has changed fast, but the hard part has not. Teams still need to ship code that works, survives debugging, scales under load, passes testing, fits the architecture, and does not turn into a maintenance headache six months later. That is what makes vibe coding vs traditional coding a business decision, not just a […]

The Embedded World 2026 exhibition in Nuremberg was the largest and most unified edition to date. Organised by NürnbergMesse from 10-12 March 2026, it drew around 36,000 visitors from nearly 90 countries, a 13% increase over 2025, and hosted 1 ,262 exhibitors from 43 countries across seven halls. This growth, combined with a six‑percent increase in exhibitors, underscores the rising global importance of embedded technologies and the show’s role as a central community meeting place.

The EU AI Act is often associated with large AI platforms, cloud models, or data-science companies. But the regulation reaches much further. Many embedded products already fall within its scope — sometimes without teams realizing it. If your device includes data-driven inference, predictive logic, or trained models, it may legally qualify as an AI system […]

Organizations that treat AI agents as privileged digital identities, implement context-aware controls, and design for resilience will lead safely in the agentic era. Security must evolve as quickly as autonomy.

In the previous article, we examined AI through the lens of John Maynard Keynes and the history of technological change. If we accept that automation does not eliminate work entirely but transforms its nature, a new business question emerges: What happens when technology evolves faster than new markets and roles can form?

Almost a century ago, John Maynard Keynes predicted that technological progress would eventually solve humanity’s problem of scarcity. Instead of working to survive, future generations, he believed, would work to fulfill themselves.

Commerce is entering a phase where software not just assists the buyer but can act on their behalf. This has become possible with AI shopping agents that are transforming the process of product discovery, comparison, and purchasing.