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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.
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Top 5 Factors That Drive AI ROI Success in Financial Institution
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.
Future Trends in Case Management for Banking
Case management in banking is the practice of implementing new technological solutions to improve and accelerate case management work. With numerous emerging technologies, you can naturally expect the trends regarding case management to change…and you are right! In this article, we will look at this more closely—we invite you to read on!
Boost Bank Agent Efficiency with AI Tools
The buzz around AI is starting to slow down, and we're seeing fewer sensational headlines about it. Instead, we're noticing that information about investments in AI development has become a routine part of business operations. The adoption of AI solutions in financial sectors varies with intensity. Certain implementations and uses of AI (e.g. database management, transaction analysis) are not visible to the average Financial Advisor. Let's examine how AI tools we implemented as LiveBank to our customers impact efficiency and level the playing field between new and experienced employees. Efficiency is a crucial measure that we use to evaluate our employees.
Optimizing Financial Operations: AI Applications in Banking Processes
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!
Automated Processes, Human Touch: Striking the Balance in AI-Powered Customer Service
Optimizing processes in digital banking is inevitably linked to automating them. From customer onboarding through loan decisioning to fraud detection, reporting, and customer service – all of these fields can be improved with the use of innovative technologies. Why don’t we look at this together and see how LiveBank can help you make your digital banking processes more efficient?
Exploring the Role of Artificial Intelligence in Digital Banking
From virtual assistants to fraud detection – AI plays a significant role in digital banking. It drives the creation of personalized customer experiences, improves sales, accelerates customer support, and improves productivity within financial institutions. So, how exactly does it help banks achieve these benefits? Let’s find it out.