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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 moreHow to leverage customer feedback in digital banking? Firstly, you need to find ways to collect it, and then learn through it and combine the knowledge gained this way with the data gathered in your customer relationship management (CRM) system. In this article, we shall explore this topic further – we invite you to read on.
Cloud technology for wealth management comes with a plethora of benefits. It’s scalable, so the number of your customers does not limit you; it’s more secure since cloud systems are protected by the best cybersecurity software available – one that would be too expensive in-house; it’s cost-effective – you don’t need to invest in servers and upgrade your equipment as the system grows; finally, it’s agile and reliable – you can access it on any type of machine. Do you want to learn more? Then read on!
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 are the applications of AI in banking? For example, artificial intelligence may be used to adapt the UI based on users' habits, to automate customer service through chatbots and virtual assistants or to categorize transactions and segment customers based on these labels. Do you want to learn more? Then read on!
Managing customer expectations in digital banking is the ultimate goal of any customer service team. After all, by doing so you can build up loyalty, hence decreasing churn and collecting a higher profit. But what do customers expect? A user-friendly mobile app, omni- and opti-channel solutions, personalized offers and content, high data security, and… an appealing visual design. How do you manage customer expectations? First, you need to learn what your particular customers strive for. Then, it all comes down to… implementing adequate solutions. Do you want to learn more? Then read on!
What are the key metrics in customer service in digital banking? How to evaluate the quality of your CS department? For instance, you can use the ratings from customer surveys, mystery shopping scores, or customer complaints & compliments. You should also look into process data, such as response and transaction times. Finally, you can measure your CS team’s performance by inspecting the number of products per customer, customer lifetime value, customer churn, and the number of referrals per customer. Do you want to learn more? Then read on!