FINTECH & INNOVATION
AI-Powered Robots and Their Impact on Financial Services
Understand how the different Financial Services organisations are approaching disruptive technological transformations, delivering new products, and adopting new business models, with the Chief Strategy Officer at a banking technology firm.
Artificial Intelligence
Data Analysis
Cybersecurity Awareness
Risk Assessment
Predictive Modelling
Course Lessons
The Evolution and Impact of AI Robots in Finance
This chapter delves into the genesis of AI in the financial sector, tracing its progress from theoretical concept to practical applications. It highlights how AI has revolutionised financial services by enhancing efficiency, accuracy, and the customer experience, ultimately reshaping the landscape of financial institutions.
Inside AI Robotics: Functionality and Training Methods
In this chapter, the focus shifts to the operational mechanics and training of AI robots within finance. It explores the various machine learning techniques—supervised, unsupervised, and reinforcement learning—used to equip AI robots with the ability to perform complex tasks and make informed decisions.
Early AI Applications in Financial Services: Benefits and Challenges
This chapter reviews the inaugural applications of AI in finance, such as fraud detection and credit scoring, emphasising the substantial benefits they brought in terms of efficiency and cost reduction. It also addresses the challenges faced, including issues of transparency, potential biases, and cybersecurity risks.
Future Horizons: The Long-Term Potential of AI in Finance
The final chapter speculates on the future trajectory of AI in finance, focusing on predictive analysis for investment, advanced risk management, and the automation of manual processes. It suggests that as AI technology continues to evolve, it holds the promise of further transforming the financial sector by introducing new levels of innovation and efficiency.