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
