The Future of Banking: new technologies, AI and data utilization for effective marketing strategies

The white paper provides an in-depth analysis of digital transformation in the banking sector, focusing on how AI is revolutionizing key areas such as product recommendation, customer support, fraud analysis, and personalized customer engagement. Additionally, it highlights the increasing use of AI to optimize credit scoring.

A key point of the document is the exploration of Open Banking, a model based on open APIs for sharing banking data. It emphasizes how this approach enhances transparency and accessibility of financial information, significantly improving the customer experience.

The white paper also addresses the challenges related to data security and privacy, emphasizing the crucial role of first-party data in the banking sector. This focus extends to sales and marketing strategies, illustrating how data can be leveraged to create targeted campaigns and further personalize the customer experience.

Finally, the document delves into the most effective data modeling techniques for the industry, presenting real-world case studies, including:

• How AI can be used to acquire leads through enriched bidding based on credit scoring;

• How to implement cross-sell and up-sell strategies in banking through lead scoring based on customer interests.

These practical examples offer a tangible view of the impact and potential of the discussed technologies, underlining the importance of digital innovation in the banking sector.