{"id":73525,"date":"2025-12-15T10:18:30","date_gmt":"2025-12-15T09:18:30","guid":{"rendered":"https:\/\/www.teoresigroup.com\/?p=73525"},"modified":"2025-12-15T10:20:50","modified_gmt":"2025-12-15T09:20:50","slug":"teoresi-alla-fintechinsurtech-observatory-conference-2025","status":"publish","type":"post","link":"https:\/\/www.teoresigroup.com\/it\/news\/teoresi-alla-fintechinsurtech-observatory-conference-2025\/","title":{"rendered":"Teoresi alla Fintech & Insurtech Observatory Conference 2025"},"content":{"rendered":"\n
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L\u201911 dicembre abbiamo partecipato alla decima edizione del Fintech & Insurtech Observatory Conference, l\u2019appuntamento annuale organizzato dall\u2019Osservatorio Fintech & Insurtech<\/strong><\/a>\u00a0degli\u00a0Osservatori Digital Innovation<\/strong><\/a>\u00a0<\/strong>del\u00a0Politecnico di Milano.<\/strong><\/a>\u00a0<\/p>\n\n\n\n

L\u2019evento ha riunito rappresentanti del mondo finanziario, istituzioni, universit\u00e0 e aziende per approfondire trend, ricerche e progettualit\u00e0 che stanno trasformando il settore. <\/p>\n\n\n\n

Il nostro contributo <\/h2>\n\n\n\n

Teoresi ha partecipato alla tavola rotonda \u201cArtificial Intelligence nel finance e insurance: tanti progetti ma poche sfide\u201d<\/strong>, moderata da Filippo Renga<\/strong><\/a>, Direttore dell\u2019Osservatorio. <\/p>\n\n\n\n

A intervenire per noi \u00e8 stato Fabio Gadda<\/strong><\/a>, Strategic Marketing Manager, che ha portato la nostra esperienza nell\u2019applicazione dell\u2019intelligenza artificiale ai processi finanziari e assicurativi. Durante il confronto, Fabio ha condiviso alcuni spunti derivati dal nostro lavoro sul campo e dalle attivit\u00e0 di ricerca condotte in collaborazione con il Politecnico di Torino<\/strong><\/a>, in particolare sui modelli di machine learning per la valutazione dell\u2019affidabilit\u00e0 finanziaria di clienti e imprese garantendone la trasparenza secondo principi di \u201cexplainability\u201d delle valutazioni e sulle tecniche di reinforcement learning applicate alla portfolio optimization, ovvero metodi in cui l\u2019algoritmo impara tramite tentativi ed errori a scegliere la combinazione di investimenti pi\u00f9 efficace e sostenibili in base a rendimento e rischio. <\/p>\n\n\n\n

Un esempio concreto del nostro impegno nel combinare competenze, ricerca e tecnologie avanzate per supportare il settore nella gestione del rischio, nell\u2019automazione dei processi e nella costruzione di modelli predittivi affidabili.  <\/p>\n\n\n\n

Il valore della collaborazione con l\u2019Osservatorio <\/h2>\n\n\n\n

La nostra partnership con l\u2019Osservatorio<\/strong><\/a>\u00a0<\/strong>e la partecipazione al suo convegno si inseriscono in un percorso ormai consolidato, che da\u00a0tre anni\u00a0<\/strong>rappresenta per noi uno spazio privilegiato di dialogo e confronto nel settore Fintech &\u00a0Insurtech.\u00a0<\/p>\n\n\n\n

Per sintetizzare i principali spunti della giornata, abbiamo chiesto a Fabio di condividere la sua visione attraverso tre domande:<\/strong> <\/h6>\n\n\n\n

1.\u00a0Nel panorama in rapido cambiamento dell\u2019AI applicata ai servizi finanziari, quali sono a tuo avviso le condizioni che permettono a un\u2019organizzazione di trasformare il potenziale tecnologico in valore reale e misurabile?\u00a0<\/p>\n\n\n\n

Per trasformare il potenziale dell\u2019AI in valore servono tre condizioni: <\/em>dati di qualit\u00e0 e governance solida<\/em><\/strong>, perch\u00e9 senza dati puliti e tracciabili anche il modello migliore fallisce; <\/em>obiettivi chiari di business<\/em><\/strong>, con metriche come riduzione del default, tempo di risposta, capital allocation, cos\u00ec da misurare davvero l\u2019impatto; e <\/em>integrazione nei processi e nelle responsabilit\u00e0<\/em><\/strong>, cio\u00e8 modelli explainable, controlli di rischio e ownership chiara tra IT, risk e business, in linea con le richieste di XAI e AI governance che stanno emergendo nel credito.<\/em> <\/p>\n\n\n\n

2.\u00a0La collaborazione con il\u00a0Politecnico di Torino\u00a0nasce in un ambito di ricerca avanzata. Al di l\u00e0 dei singoli progetti, in che modo questo percorso sta contribuendo ad ampliare la visione e le possibilit\u00e0 future per Teoresi nel mondo finance?\u00a0<\/p>\n\n\n\n

La collaborazione con il Politecnico permette a Teoresi di lavorare su casi d\u2019uso avanzati \u2013 come il credit risk\u00a0explainable\u00a0o il\u00a0portfolio ESG-LDI<\/strong>\u00a0(Environmental, Social, Governance \u2013 Liability-Driven\u00a0Investment)\u00a0con\u00a0Reinforcement\u00a0Learning \u2013 che difficilmente nascerebbero dalle urgenze\u00a0operative\u00a0 quotidiane. Questo allarga la visione su tre fronti:\u00a0tecnologie di frontiera, come il\u00a0deep\u00a0Reinforcement\u00a0Learning<\/strong>, che consente ai modelli di apprendere strategie decisionali evolute dai dati, e la\u00a0XAI\u00a0<\/strong>(Explainable\u00a0Artificial\u00a0Intelligence), che rende trasparenti e comprensibili le decisioni degli algoritmi; nuovi modelli di rischio e di allocazione del capitale; e soprattutto una maggiore capacit\u00e0 di dialogare con banche, asset manager e assicurazioni su temi che saranno centrali nei prossimi anni, dall\u2019AI responsabile alla finanza sostenibile.\u00a0<\/em><\/p>\n\n\n\n

3. Dalla conferenza emergono segnali di trasformazione che riguardano innovazione, ecosistemi e nuovi approcci al mercato. Quali traiettorie ritieni pi\u00f9 significative per comprendere dove sta andando il settore nei prossimi anni? <\/p>\n\n\n\n

Dalla conferenza emergono alcune traiettorie chiare:\u00a0AI sempre pi\u00f9 spiegabile e regolata<\/strong>, con modelli che devono essere non solo accurati ma\u00a0auditabili\u00a0e conformi ai nuovi framework europei;\u00a0integrazione strutturale di ESG e sostenibilit\u00e0<\/strong>, dove la domanda non \u00e8 pi\u00f9 \u201cse\u201d ma \u201ccome\u201d la sostenibilit\u00e0 crea valore di lungo periodo; e\u00a0evoluzione di LDI\u00a0<\/strong>(Liability-Driven\u00a0Investment)\u00a0e gestione del rischio<\/strong>\u00a0verso approcci pi\u00f9 dinamici, diversificati e data\u2011driven, che usano anche strumenti quantitativi avanzati per gestire tassi, spread e passivit\u00e0 in modo pi\u00f9 fine.<\/em><\/p>\n<\/div>\n<\/div>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

L\u201911 dicembre abbiamo partecipato alla decima edizione del Fintech & Insurtech Observatory Conference, l\u2019appuntamento annuale organizzato dall\u2019Osservatorio Fintech & Insurtech\u00a0degli\u00a0Osservatori Digital Innovation\u00a0del\u00a0Politecnico di Milano.\u00a0 L\u2019evento ha riunito rappresentanti del mondo finanziario, istituzioni, universit\u00e0 e aziende per approfondire trend, ricerche e progettualit\u00e0 che stanno trasformando il settore.  Il nostro contributo  Teoresi ha partecipato alla tavola rotonda \u201cArtificial Intelligence nel finance e insurance: tanti progetti ma poche…<\/p>\n","protected":false},"author":14,"featured_media":73519,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[13,701,39],"tags":[],"class_list":["post-73525","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-corporate","category-event-it","category-partnership"],"yoast_head":"\nTeoresi alla Fintech & Insurtech Observatory Conference 2025 - Teoresi Group<\/title>\n<meta name=\"description\" content=\"Discover all you need to know about Teoresi alla Fintech & Insurtech Observatory Conference 2025 on Teoresi Group - Teoresi Group is high profile engineering. 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