The section where COCO promotes technological innovation, artificial intelligence, machine learning and other techniques applied to banks and insurance companies.
Leading the development of financial products has become a challenging task for banks and insurers. From my department, I witness daily how crucial it is to anticipate people’s needs and show them that someone is by their side, taking care of their finances.
Generative artificial intelligence (GenAI) is beginning to be applied in Anti-Money Laundering (AML), but its adoption is limited and complementary to other forms of artificial intelligence, such as supervised and unsupervised machine learning, which are already common in the financial sector.
We interviewed one of the most influential and inspiring women in Latin America’s tech industry: Natalia Jiménez, CEO of Lulo X. In this interview, we discovered the story behind this neobank and its synergies with Lulo Bank and other entities in Colombia.
The transformation of the financial ecosystem in Latin America is a fascinating and complex phenomenon. The region has emerged as fertile ground for the development of fintechs seeking to meet the needs of a market with great growth potential.
Past week, Ibercaja announced the launch of Pensumo, a pioneering app that transforms consumption into retirement savings. This initiative allows users to receive contributions to an individual pension plan whenever they make purchases at participating retailers.
The use of this technology builds bridges between end users and financial institutions, creating connections that were previously unimaginable. Customer communications used to be generic, not tailored to their real needs or their history of banking products and services consumption.
The advent of generative artificial intelligence, with tools like ChatGPT and similar technologies, has ushered in a new era in the digital realm. However, this advancement is not without challenges and issues that need to be addressed with responsibility and common sense.
Let’s face it, the volume of textual information generated daily by financial institutions is overwhelming. From sector reports and news to customer feedback on social media, and everyday banking transactions, the abundance of unstructured data presents both an opportunity and a challenge.
In this article, I will discuss how understanding transactions allows us to determine the carbon footprint impact of a company or a user. We will also see how COCO {CO2} translates those banking transactions into Kg of CO2eq.
As I mentioned in my previous article, our main goal is to develop and implement new functionalities in the Coinscrap Finance’s financial coach. Thanks to this, our clients, including some of the leading banks globally, will be able to make strategic decisions based on the analysis of behavioral patterns.
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