AI-Powered Robots and Their Impact on Financial Services

Can a tech company revolutionise the financial services industry?
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.
AI in finance: Processing data 1,000 times faster than humans, transforming fraud detection and personalising financial advice.
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Online Course


12 mins

Video duration




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With this online course, you will:

Understand the transformative impact of AI-powered robots on financial services.
Learn about the machine learning techniques that train AI robots for finance.
Explore the early applications of AI in fraud detection and credit scoring.
Identify the benefits and challenges of integrating AI into financial operations.
Envision the future potential of AI in personalising financial advice and enhancing risk management.

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.

Meet your instructor - Mohamed Abdallah

B2B Marketing Expert, Fintech Trends Enthusiast
and E-Payments Expert

Mohamed is a seasoned B2B marketing consultant and brand communication and story builder with over ten years of expertise in the fintech and payments industries. He has a proven track record of delivering multi-fold revenue growth, building high-performance teams, and creating end-to-end campaign management systems that drive success Go-To-Market strategies and brand-building initiatives for top-tier organisations in this sector.