Subscribe for the Emerj "AI in Banking Pulse" Newsletter

Join thousands of other finance professionals and discover the latest AI applications and trends in banking, insurance, wealth management, and more. Delivered weekly.
AI transformation in Banking 1200x200Embedded Analytics in Banking – Two Use Cases

Trending AI in Banking Context

OECD-Approved AI Tools and Resources for Financial Services@2x

OECD-Approved AI Tools and Resources for Financial Services

The OECD.AI Policy Observatory is an inclusive platform that brings together resources and expertise from the OECD and its partners to facilitate dialogue and provide evidence-based policy analysis on the impact of AI. It is built upon the foundation of the OECD AI Principles, the first intergovernmental standard on AI adopted in 2019, endorsed by OECD countries and partner economies.

002 – What Responsible AI Means for Financial Services – with Scott Zoldi

What Responsible AI Means for Financial Services – with Scott Zoldi 

Implementing responsible AI in the financial sector is crucial for ethical practices, fairness, and transparency. Financial institutions must prioritize data privacy, address biases, ensure explainability, and practice ongoing monitoring. By doing so, they build trust, mitigate risks, and foster sustainable growth. 

001 – Using ChatGPT Responsibly in Financial Services – with Scott Zoldi of FICO copy

Using ChatGPT Responsibly in Financial Services – with Scott Zoldi of FICO

Traditionally, responsible AI management practices are not just a matter of theoretical ethics debates but a practical matter of compliance. Financial sectors are highly regulated and monitored to ensure the safety and security of consumers and the overall economy. Many of those regulations are written so that responsible management practices are meant to avoid penalties. 

Intelligent Automation for Enhancing RPA in Banking@2x-min

Intelligent Automation for Enhancing RPA in Banking – Two Use Cases

Critical to the definition of robotic process automation (RPA) is the notion that the tasks a 'robotic' software automates are repetitive by nature, with exceptions in rare instances. While RPA cannot independently learn from and adapt to new contexts and workflow problems, it can if the RPA system is imbued with the correct AI capabilities. 

_Discovering Automation and AI Opportunities in Financial Services – with Christophe Makni of Basler Kantonalbank 950×540

Discovering Automation and AI Opportunities in Financial Services – with Christophe Makni of Basler Kantonalbank

As AI automation (aka, “intelligent automation,” or IA) in financial services quickly becomes mainstream, it attracts increased stakeholder interest as firms explore the possibility of unlocking value via increased efficiency, cost reduction, and enhanced predictive capabilities.