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Exploring the AI ACT: Transparency as the Key for Future Technology

by Francesca Manca | Financial Services, Explainable AI

Nowadays, artificial intelligence (AI) systems are seamlessly integrated into our daily lives, making tailored suggestions and influencing our decisions. While artificial intelligence offers incredible advantages, it is necessary to address the potential issues of...

Predicting customer churn using machine learning

by Rulex | Machine Learning, Financial Services

Predicting customer churn using machine learning has proved effective in identifying potential churners and developing successful retention strategies for the financial sector. The process of digital transformation has opened up great new possibilities for banks and...

Ethical and responsible AI – the future of data-driven technology

by Rulex | Ethical AI, Financial Services

As the applications for data-driven technology increase in everyday life, questions around ethical and responsible AI are emerging in the public arena. Every time we play a song on Spotify, watch a video on YouTube, or order a takeaway online, we leave data...

Digital transformation in action – 2 financial services case studies

by Silvia Parma | Financial Services

The true is not all digital transformations are the same. This makes it particularly difficult for financial institutions to identify the AI-based solution that fits best their business. In a previous article, we listed 3 key points which, in our experience, make a...

3 key points that make a difference to the digital transformation of financial services

by Silvia Parma | Financial Services

The financial services sector is constantly changing, adapting to new policies, regulatory compliance, and the ongoing digital transformation. Numerous decisions must be taken every day to manage business efficiently, making it extremely complicated to pinpoint the...

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