AI in LATAM Banks: The Definitive Guide for Financial Leaders (3/3)

Part 3/3 - Maturity, Practical Framework, and FAQ In Part 1, you learned the potential: six use cases generating 35-50% ROI. In Part 2, you understood LATAM's unique challenges and why governance is critical. Now comes...

AI in LATAM Banks: The Definitive Guide for Financial Leaders (2/3)

Part 2/3 - Unique Challenges, Regulation, and Governance If you were reading Part 1 of this series, you already know the potential: 6 use cases generating 35-50% ROI in 4-8 months. The opportunities are real. But...

AI in LATAM Banks: The Definitive Guide for Financial Leaders (1/3)

Part 1/3 - Current State, Use Cases, and ROI Five years ago, artificial intelligence in banks was a laboratory experiment. A team of data scientists in a basement, modest budgets, isolated use cases. CEOs approved...

Artificial Intelligence, Critical Thinking, and the Future of Work

In a new episode of Fin Talks, Julián Colombo spoke with Mariano Amartino, a leading figure in the Latin American tech ecosystem and entrepreneur, about artificial intelligence, startups, communication, education, and the changes already...

Modernizing Banking Without the Trap of Replacing Everything

In a new edition of Fin Talks, Julián Colombo, CEO of N5 Now, spoke with Joaquín Quintas, founder of Coderío, about one of the financial industry's greatest challenges: how to modernize banking without assuming...

Ukraine: When Artificial Intelligence in Banking Ceases to Be Innovation and Becomes Resilience

Cuando la IA no escala, sino permite que la banca siga operando a pesar de las bombas.

The use of agent AI in finance can multiply a team’s productivity by 200% to 2000%, according to McKinsey

N5 in La Nación: The financial industry is incorporating AI agents; in Argentina, implementations with cost reductions and improvements in efficiency are already known

La inteligencia artificial ya no responde: opera

La nueva generación de inteligencia artificial empresarial marca el paso de los asistentes genéricos a los agentes capaces de integrarse con sistemas, datos y procesos reales. En banca y seguros, la diferencia estará en la especialización.