Corso di formazione Applied AI for Financial Statement Analysis & Reporting

AI is transforming how financial institutions assess creditworthiness, price risk, and optimize lending decisions.

This instructor-led, live training (online or onsite) is aimed at intermediate-level finance professionals who wish to apply artificial intelligence to enhance credit scoring models, manage risk more effectively, and improve lending operations.

By the end of this training, participants will be able to:

• Understand key AI methods used in credit scoring and risk prediction.
• Build and evaluate credit scoring models using machine learning algorithms.
• Interpret model outputs for regulatory compliance and transparency.
• Apply AI techniques to improve underwriting, loan approval, and portfolio management.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

L'intelligenza artificiale sta trasformando la modalità con cui le istituzioni finanziarie rilevano il frode e combattono il riciclaggio di denaro attraverso l'analisi intelligente e in tempo reale dei vasti insiemi di dati delle transazioni.

Questo addestramento guidato dall'insegnante (online o sul posto) è rivolto a professionisti di livello intermedio che desiderano applicare strumenti di machine learning e IA per automatizzare e migliorare la rilevazione della criminalità finanziaria, il monitoraggio della conformità e la governance operativa.

Alla fine di questo addestramento, i partecipanti saranno in grado di:

• Comprendere le applicazioni dell'IA nella rilevazione del frode e nel monitoraggio AML (Anti-Money Laundering).
• Progettare ed implementare modelli per la rilevazione delle anomalie e il punteggio delle transazioni.
• Leveraggere l'IA basata su grafi per la rilevazione del rischio di rete.
• Affermare un'implementazione etica, spiegabile e conforme alle normative dei modelli.

Formato del Corso

• Lectura interattiva e discussione.
• Molte esercitazioni e pratica.
• Esecuzione pratica in un ambiente di laboratorio live.

Opzioni di Personalizzazione del Corso

• Per richiedere una formazione personalizzata per questo corso, si prega di contattarci per organizzare l'incontro.

AI in Financial Services is a strategic enabler for risk reduction, customer experience, and operational efficiency.

This instructor-led, live training (online or onsite) is aimed at financial services executives, fintech managers, and compliance officers with limited prior exposure to artificial intelligence who wish to understand how to responsibly and effectively implement AI solutions in their institutions.

By the end of this training, participants will be able to:

• Understand the strategic value of AI in financial services.
• Identify and mitigate ethical risks associated with AI models.
• Navigate the regulatory landscape for AI in finance.
• Design responsible AI governance and implementation frameworks.

Format of the Course

• Interactive lecture and discussion.
• Case study analysis and group exercises.
• Application of ethical frameworks to realistic financial scenarios.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

L'IA sta trasformando il FinTech abilitando l'automazione intelligente, la personalizzazione iper-individualizzata e servizi finanziari in tempo reale sicuri.

Questa formazione guidata da un istruttore (online o sul posto) è rivolta a professionisti del FinTech di livello principiante-intermedio che desiderano esplorare la convergenza tra IA, API e innovazioni Open Banking per progettare prodotti finanziari di nuova generazione.

Al termine di questa formazione, i partecipanti saranno in grado di:

• Capire come l'IA e il machine learning sono applicati attraverso diversi scenari di utilizzo del FinTech.
• Sfruttare le API Open Banking e la aggregazione dati per l'innovazione dei prodotti.
• Progettare funzionalità guidate dall'IA per portafogli digitali, neobanche e assistenti finanziari.
• Allineare l'innovazione con considerazioni regolative, etiche e di sicurezza.

Formato del Corso

• Lecture interattiva e discussione.
• Molti esercizi e pratica.
• Implementazione pratica in un ambiente di laboratorio live.

Ozioni di Personalizzazione del Corso

• Per richiedere una formazione personalizzata per questo corso, contattateci per organizzare.

Artificial Intelligence is a powerful set of techniques used to develop intelligent trading systems that analyze market data, make predictions, and execute strategies autonomously.

This instructor-led, live training (online or onsite) is aimed at intermediate-level finance professionals who wish to apply AI techniques in trading and asset management, focusing on signal generation, portfolio optimization, and algorithmic strategies.

By the end of this training, participants will be able to:

• Understand the role of AI in modern financial markets.
• Use Python to build and backtest algorithmic trading strategies.
• Apply supervised and unsupervised learning models to financial data.
• Optimize portfolios using AI-driven techniques.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AI is transforming WealthTech by enabling highly personalized financial services, intelligent advisory platforms, and enhanced user experiences.

This instructor-led, live training (online or onsite) is aimed at intermediate-level finance and technology professionals who wish to design, evaluate, or implement AI-driven solutions for personalized wealth management and robo-advisory services.

By the end of this training, participants will be able to:

• Understand how AI is applied in wealth management and digital advisory platforms.
• Design intelligent systems for personalized portfolio recommendations.
• Incorporate behavioral finance data and preferences into advisory algorithms.
• Evaluate ethical and regulatory concerns in automated investment advice.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Generative AI is a class of artificial intelligence techniques used to generate new content or predictions from existing data, including Large Language Models (LLMs) and Generative Adversarial Networks (GANs).

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level finance professionals who wish to apply generative AI for forecasting, anomaly detection, and compliance in financial services.

By the end of this training, participants will be able to:

• Understand the foundational concepts behind generative AI models.
• Apply LLMs and GANs to use cases such as fraud detection and synthetic data generation.
• Design effective prompts for financial forecasting and reporting support.
• Evaluate ethical and regulatory considerations in generative AI applications.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Machine Learning is a subset of Artificial Intelligence focused on creating systems that learn from data and make predictions or decisions without being explicitly programmed.

This instructor-led, live training (online or onsite) is aimed at intermediate-level finance professionals who wish to apply machine learning and AI techniques to real-world problems such as fraud detection, credit scoring, and risk modeling.

By the end of this training, participants will be able to:

• Understand the core machine learning concepts relevant to finance.
• Apply supervised and unsupervised learning algorithms to financial datasets.
• Build and evaluate predictive models for credit risk, fraud detection, and market analysis.
• Use Python and scikit-learn to implement machine learning pipelines.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.