Transformation. Coaching. AI

Governments are among the world’s largest service providers, serving millions of people and organisations. Even relatively small improvements in efficiency can therefore generate substantial cost savings while significantly improving the quality of public services. Since government operations are underpinned by vast volumes of structured data, they provide an ideal environment for the deployment of AI-based systems. Countries at the forefront of public-sector innovation have

The debate about artificial intelligence in medicine is often framed in the wrong way. Critics ask whether AI can fully replace physicians today, then treat every limitation as proof that the technology is not clinically serious. That is a weak standard. The real question is not whether AI is already an autonomous doctor. The real question is how far ordinary, publicly available AI models have already moved into medical reasoning — and whether the latest studies are even meas

In 2024, the Tisza Party entered the Hungarian political arena from nowhere — a “market” that had until then been dominated by a single player, Fidesz, with a significant advantage in resources and four decades of experience. In just two years, Tisza broke through this structure and defeated the party that had held a monopolistic position. From the perspective of conventional political logic, this is difficult to explain. It is no coincidence that, in recent days, dozens of i

Most companies are no longer asking whether they need AI. They are asking what is worth implementing, where to start, and how AI can be turned into measurable business results. The uncertainty is understandable: AI does not improve an organisation’s performance on its own. If it is applied to poorly designed processes, weak data foundations or an organisation that is not prepared for change, it will not accelerate operations — it will make them more complex. International res