Whitepapers and E-books
Resource page for fintech professionalsData-Driven Banking Strategies
Google, HSLU and ti&m explain how the increasing amount of data and advances in AI will decisively shape banking in the future. Read our free whitepaper on data-driven banking to learn how data is driving the next generation of banking.
Data-driven banking: From key elements to the right strategy.
The migration of data to the cloud, open ecosystems in banking and wealth management, and improved and more cost-effective use cases for artificial intelligence are the technological drivers in banking. In this white paper, ti&m, together with Google and HSLU, analyzes various aspects of data-driven banking and explains how banks can implement their individual strategy.
- The state of data-driven banking and regulatory aspects
- The three technological drivers for data-driven banking
- Regulatory aspects of a successful data-driven banking strategy
- Use cases and pathway to becoming a data-driven bank
More Whitepapers of ti&m
Items from the same categoryAI in banking: LLMs and personalized ChatGPTs
The easy availability of AI models such as GPT-4 is opening up many new applications for the banking industry. In our white paper, we explain how LLMs and prompts work
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