Digital Transformation in Banking and Finance Industry

Course Info

Length: 2 Weeks

City: Kuala Lumpur

Type: In Classroom

Available Dates

  • June-24-2024

    Kuala Lumpur

  • July-22-2024

    Kuala Lumpur

  • Aug-26-2024

    Kuala Lumpur

  • Sep-23-2024

    Kuala Lumpur

  • Oct-28-2024

    Kuala Lumpur

  • Nov-25-2024

    Kuala Lumpur

  • Dec-23-2024

    Kuala Lumpur

Dates in Other Venues

  • June-17-2024

    London

  • June-17-2024

    Amsterdam

  • June-24-2024

    Istanbul

  • July-01-2024

    Paris

  • July-01-2024

    Singapore

  • July-08-2024

    Barcelona

  • July-08-2024

    Dubai

  • July-15-2024

    London

  • July-15-2024

    Amsterdam

  • July-22-2024

    Paris

  • July-29-2024

    Istanbul

  • July-29-2024

    Singapore

  • Aug-05-2024

    Paris

  • Aug-05-2024

    Singapore

  • Aug-12-2024

    Barcelona

  • Aug-12-2024

    Dubai

  • Aug-19-2024

    London

  • Aug-19-2024

    Amsterdam

  • Aug-26-2024

    Istanbul

  • Sep-02-2024

    Singapore

  • Sep-02-2024

    Paris

  • Sep-09-2024

    Barcelona

  • Sep-09-2024

    Dubai

  • Sep-16-2024

    London

  • Sep-16-2024

    Amsterdam

  • Sep-23-2024

    Paris

  • Sep-30-2024

    Singapore

  • Sep-30-2024

    Istanbul

  • Oct-07-2024

    Paris

  • Oct-07-2024

    Singapore

  • Oct-14-2024

    Dubai

  • Oct-14-2024

    Barcelona

  • Oct-21-2024

    Amsterdam

  • Oct-21-2024

    London

  • Oct-28-2024

    Istanbul

  • Nov-04-2024

    Paris

  • Nov-04-2024

    Singapore

  • Nov-11-2024

    Barcelona

  • Nov-11-2024

    Dubai

  • Nov-18-2024

    London

  • Nov-18-2024

    Amsterdam

  • Nov-25-2024

    Istanbul

  • Dec-02-2024

    Singapore

  • Dec-02-2024

    Paris

  • Dec-09-2024

    Dubai

  • Dec-09-2024

    Barcelona

  • Dec-16-2024

    London

  • Dec-16-2024

    Amsterdam

  • Dec-23-2024

    Paris

  • Dec-30-2024

    Istanbul

  • Dec-30-2024

    Singapore

Course Details

Course Outline

10 days course

 

The transformation of the banking industry

 

  • Statistics on key banking variables (employment, skills, branch numbers, internet usage et al)
  • Recent developments in banking and finance
  • Digital transformation and its significance
  • The structure of scientific revolutions – models of how change happens

 

The transformation of the banking industry 2

 

  • Problems faced by banks
  • Social media and brand at banks and financial institutions
  • Technology governance in banks and financial institutions
  • Deconstructing the bank value chain between product and customer
  • The insurance industry and digitech
  • Fund management digital interfaces
  • Case Study: Modelling cost savings from digital transformation

 

Organisation analysis and technology

 

  • Human resources implications
  • It skill-sets and relevant qualifications
  • Training and development: what technical skills do front-line staff need?
  • Management teams and examples of transformation
  • Organisational culture and technology

 

Banking technology

 

  • Enterprise Architecture and its importance
  • Payments technology and third-party software
  • Digital Technology in Practice
  • Neural computing
  • Non-card payments, mobile devices and payments
  • Trends in internet use
  • Third-party payment software
  • Ocular and voice recognition technologies

 

Breaking down barriers to entry in banking and finance?

 

  • Problems faced by legacy organisations
  • Examples of banking and finance legacy companies
  • Rise of the challenger banks
  • Face and voice recognition technology

 

Using data in banking and finance

 

  • How do machines learn?
  • What is big data and how can it be harnessed?
  • Behavioural economics and profitability – analysing the connection
  • The role of the Internet of Things (IoT) in improving pricing and risk analysis
  • Case Study: Improving the accuracy of insurance pricing using real-time vehicle analytics and big data processing

 

The use of Artificial Intelligence (AI)

 

  • Neural networks and AI as a forecasting tool
  • Case Study: Comparing neural and parametric forecasting techniques’ success in financial markets
  • Robotic Process Automation (RBA)
  • The RBA output at bank board level
  • Algorithm-driven corporate bank marketing and sales
  • Alignment with EU GDPR and other data protection regimes
  • Case Study: Building a real-time client-specific smart dashboard – components and benefits

 

Cybersecurity

 

  • Data safety, privacy and security management
  • Global Accessibility
  • Deep learning and AI for security
  • Case Study: Evaluating Cognizant’s contribution

 

The banking landscape in 2030

 

  • What is ‘fast forward forecasting’ and how far does it explain technology forecasting error?
  • Review of forecasts for 2020 from 2010 – what went wrong?
  • How to conduct technology forecasting
  • Measured views of the banking and finance industry in 2030

 

Conclusion 

 

  • Potential obstacles to measured digital transformation
  • Probable achievements of distributed ledger, robotics and AI by 2030
  • Implications for skill sets, employment, profitability and shareholder value in banking and finance
  • Strategising the bank and finance industry with 2030 technology

Course Video