{"id":145921,"date":"2025-11-29T18:25:41","date_gmt":"2025-11-29T17:25:41","guid":{"rendered":"https:\/\/www.bbs.unibo.it\/?p=145921"},"modified":"2025-11-29T18:25:41","modified_gmt":"2025-11-29T17:25:41","slug":"when-ai-stops-being-theory-what-we-learned-from-max-ciociola","status":"publish","type":"post","link":"https:\/\/www.bbs.unibo.it\/en\/when-ai-stops-being-theory-what-we-learned-from-max-ciociola\/","title":{"rendered":"When AI Stops Being Theory: What We Learned from Max Ciociola"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">The session with <strong>Max Ciociola<\/strong>, founding CEO of Musixmatch, offered <strong>Faculty and staff BBS<\/strong> something unusual: a concrete demonstration of how artificial intelligence is already reshaping the way we work, design and teach, rather than yet another theoretical overview.<\/span><\/p>\n<p><!--more--><\/p>\n<p><span style=\"font-weight: 400;\">Ciociola began with a simple observation. The evolution of AI models has accelerated at an extraordinary pace in recent months. We are no longer dealing with chatbots that answer questions, but with <\/span><b>reasoning systems<\/b><span style=\"font-weight: 400;\"> capable of tackling complex tasks, from mathematics to code generation, surpassing benchmarks that until recently belonged exclusively to humans.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">One of the most significant concepts he introduced concerns the <\/span><b>context window<\/b><span style=\"font-weight: 400;\">, namely the ability of models to process increasingly large volumes of documents in a single session. Ciociola\u2019s example was clear: materials that once required weeks of analysis can now be synthesised in a matter of hours. This is not incremental efficiency but a genuine shift in scale.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The live demonstration reinforced the message. <\/span><b>Coding<\/b><span style=\"font-weight: 400;\">, <\/span><b>design<\/b><span style=\"font-weight: 400;\"> and <\/span><b>content creation<\/b><span style=\"font-weight: 400;\">\u2014processes that once depended on dedicated teams and long development cycles\u2014can now be rethought from the ground up. Generative models rewrite code, design functioning platforms, create prototypes from minimal instructions. The impact on required skills is immediate. Operational roles built on data entry, transcription or code checking are evolving into the supervision of models, the management of <\/span><b>agents<\/b><span style=\"font-weight: 400;\">, and the design of automated processes.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The core issue, Ciociola emphasised, is not the availability of technology. It is its <\/span><b>adoption<\/b><span style=\"font-weight: 400;\">. Many European companies still record no measurable impact on their financial performance, not because the tools are immature, but because they struggle to integrate them into existing processes. Cultural resistance, lack of internal skills, fear of change all play a part. What makes the difference is the ability of organisations to invest in training and build professional profiles capable of understanding and governing these tools.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In line with its interdisciplinary approach and daily collaboration with industry champions, <\/span><b>Bologna Business School sees artificial intelligence as a driver of managerial transformation<\/b><span style=\"font-weight: 400;\">, even before a technological one.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">The discussion highlighted the need to prepare Master\u2019s participants for a context in which understanding and applying generative models is a transversal competence, relevant across roles and functions.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The School is supporting this transition with rigour and timeliness: by updating curricula, experimenting with new learning tools, and fostering a critical and responsible culture in the use of AI.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The session with Max Ciociola, founding CEO of Musixmatch, offered Faculty and staff BBS something unusual: a concrete demonstration of how artificial intelligence is already reshaping the way we work, design and teach, rather than yet another theoretical overview.<\/p>\n","protected":false},"author":132,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[207,92],"tags":[],"rubrica":[],"class_list":["post-145921","post","type-post","status-publish","format-standard","hentry","category-news-en-2","category-news-en"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>When AI Stops Being Theory: What We Learned from Max Ciociola | BBS<\/title>\n<meta name=\"robots\" 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