Hong Kong launches a new crypto regulatory framework
in a bid to set itself up as a digital asset hub – Copyright AFP Peter PARKS
How is AI reconfiguring financial services and how sophisticated is machine-based learning expected to become? Considering some of the important trends is Stuart Wilkie, Head of Commercial Finance at Anglo Scottish.
The executive looks at key strategic areas like precision forecasting and improving customer services as part of the continuing digital transformation of financial services.
AI advancements in recent years have enabled huge improvements in financial forecasting. Given the increasingly volatile nature of the competitive landscape, real-time updates to your forecasting can be the difference between getting ahead of the game and being left behind.
Machine-learnt algorithms can provide automated forecasting that continuously adapts projections, aggregating massive datasets from a range of sources and in a range of mediums. These can be compared to industry benchmarks or competitor performance to ensure that a firm is on track according to any of its key performance indicators (KPIs).
As time passes and a growing amount of data is entered, the AI’s predictions will become increasingly accurate. When used in this context, it may be able to identify the real driving factors behind a busi