2026-05 – The name may have changed, but the quality of the event remains the same; in fact, each edition delves even deeper in terms of professionalism level among companies and professionals, audience engagement, and technical detail.
Returning to the stunning Principessa Pio venue in Ferrara, this hybrid event, blending technical content with networking and focusing primarily on AI, was brilliantly organized by Logikamente, and lived up to expectations, sparking discussions about overall potential and the appropriate precautions to take, especially given the company’s stage of maturity. More details below.
Boasting the new “Logike di fabbrica” label this year, the event periodically organized by Logikamente has added another layer of quality to its already significant history (this 2026 edition is the fourth, having weathered even the challenging periods linked to Covid). A topic that has now entered common discourse, the current state of the art in Artificial Intelligence, mainly its use in corporate settings (not just manufacturing and related operations): its level of maturity, effectiveness, and actual practical benefits. Where do we stand?
Through a brief roundtable discussion, I exchanged ideas with corporate professionals, consultants, business school professors, and even young entrepreneurs, all of whom brought fresh perspectives on how to tackle this elephant in the room. We were then able to witness firsthand some tangible results, presented by CEO Stefano Ciammarughi, through practical case studies of companies that have successfully adopted the “Donia” tooling developed by Logikamente.
As further references, my LinkedIn article, some live photos, and other highlights from the event; in short, as I’ve been saying for several years based on my experience: the potential, of other tools as well, is enormous and far more effective than in the past, but what is the secret (and also the only way) to prevent a project, even one full of good intentions, from failing? Preparatory work, a deep understanding of one’s own processes, and high-quality, clean data. Only by meeting these requirements an AI agent can learn accurate information and provide the most effective insights for assessments and decisions. The greatest danger? Searching for shortcuts, quick, effortless solutions that require no study, which won’t work and will, in fact, cause frustration among entrepreneurs, as well as unquantifiable operational damage. This topic is certainly not closed, and we’ll see the next episodes soon.