Innovations and emerging trends in applied machine intelligence

The article presents selected insights from the tenth Dagstuhl Workshop on Applied Machine Intelligence, highlighting recent advances in generative, knowledge‑based, and hybrid AI. It discusses how generative AI is reshaping creative and editorial workflows. The workshop also examined the limitations of LLMs in explanation tasks and quality assurance, emphasising the need for trustworthy, domain‑sensitive and hybrid approaches that combine neural and symbolic methods. Further contributions explore agentic AI as an emerging paradigm for business information systems and revisit abductive reasoning to better integrate formal inference with human‑centred modelling. Together, these perspectives illustrate how hybrid AI can address current shortcomings and support reliable, transparent and domain‑aligned applications across sectors.