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Why do AI projects in finance fail to deliver ROI? Despite the billions poured into artificial intelligence, nearly 40% of financial services CIOs admit their AI initiatives failed to achieve positive ROI in the last year. Why is this happening? It’s not about the technology itself—it’s about strategy. Success hinges on aligning AI with business goals, leveraging high-quality data, and focusing on the right use cases.
Read more"The only constant in life is change" – this maxim by Heraclitus of Ephesus perfectly summarizes the essence of continuous improvement and the creation of new processes. Just look at the banking sector in Europe in 2015 and compare it to the current situation: contactless payments, mobile banking, digital banks, and the dynamic growth of fintech. Customer behaviors and communication channels have evolved dramatically, leading us to a new era of personalized and real-time customer service. Are you ready for the next step – Digital Customer Interaction Solutions (DCIS), which allow financial institutions to interact with customers in real-time, across multiple channels, and on a large scale?
Why do AI projects in finance fail to deliver ROI? Despite the billions poured into artificial intelligence, nearly 40% of financial services CIOs admit their AI initiatives failed to achieve positive ROI in the last year. Why is this happening? It’s not about the technology itself—it’s about strategy. Success hinges on aligning AI with business goals, leveraging high-quality data, and focusing on the right use cases.
As financial institutions increasingly digitize their services, one of their most valuable assets becomes their data. Every customer action, decision, webpage interaction, and transaction generates vast amounts of information, often dispersed across different systems. Bringing this data together is the first step in turning it into a powerful resource.
Centralizing customer data into a single, real-time dashboard enhances efficiency and satisfaction by providing agents with easy access to all necessary information. Coupled with real-time analytics, this setup empowers agents to offer personalized recommendations and proactive communication, fostering loyalty and trust.
What are the emerging trends and the future of wealth management? Firstly, a new generation of investors is approaching, which means that you need to tailor your services to the characteristics of the younger people. Secondly, sustainable investments will become more important for consumers. Thirdly, we can already see that customers want easy, simple communication via chat apps instead of meeting their advisors in person. Finally, AI is bound to be used to analyze market trends, make predictions and hence find new investment opportunities. Do you want to learn more? Then read on!
What is the future of banking apps? We expect a rise in security measures, combined with an even higher level of personalization, enhanced customer experience, and an integration of a plethora of financial features, enabling users to conduct their banking fully through mobile apps. Naturally, for that to happen, banks need to utilize artificial intelligence and machine learning for their apps, which the leading ones already do. Do you want to learn more? Then read on!