INTRODUCTION
It is crucial for global and local businesses to learn how to leverage new opportunities and join the digital movement in order to remain competitive.
In order to stand out from the competition, digital transformation professionals face questions including how to predict ever-changing customers expectation and technology advancement; cater appropriate digital products for different customer segments demands; deliver services for the unbanked segments; offer differentiated value-added services for customers beyond prices; improving customers adoption of digitalized distribution networks; monitoring and assessing returns on digital investments through specific KPI measurement metrics.
This 10 Days course is designed for bank and finance executives who have the present and future responsibility for implementing digital changes in an era when transformation will undoubtedly be rapid, and its effects far-reaching and permanent.
OBJECTIVES
By the end of the Digital Transformation in Banking and Finance Industry Course you will be able to:
Learn what technology can and cannot achieve in banking and finance, and the implications for costs, employment and profitability
Build a realistic forecast of the use of technology in the banking and finance industry over the coming decade
Deliver perspectives on digital transformation from a management and technical standpoint
Understand the opportunities and management challenges posed by Artificial Intelligence, robotics and distributed ledger technologies in the next decade
Dramatically improve capacity to understand, select, deliver and then manage digital technology in a bank or other financial institution
WHO SHOULD ATTEND ?
This Digital Transformation in Banking and Finance Industry Course ideal for:
The course is designed to provide a comprehensive overview for executives working in, responsible for, or interested in changing banking models.
COURSE OUTLINE
Day 1
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
Day 2
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
Day 3
Organisation analysis and technology
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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
Day 4
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
Day 5
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
Day 6
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
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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
Day 7
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
Day 8
Cybersecurity
Data safety, privacy and security management
Global Accessibility
Deep learning and AI for security
Case Study: Evaluating Cognizant s contribution
Day 9
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
IN-HOUSE TRAINING
LPC Training is capable of conducting this training programme exclusively for your delegates. Please e-mail us on admin@lpcentre.com for further information and/or to receive a comprehensive proposal.
www.lpcentre.com
DOCUMENTATION
LONDON
Oxford Street Offices:
London - Oxford Street
High-Quality material has been prepared by the LPC team for distribution to delegates. In addition, a special note pad to facilitate note-taking will be provided.
25 N Row, London W1K 6DJ
+44 (0) 20 36 916 970
CERTIFICATES
West London Office: 47 49 Park Royal Road
London NW10 7LQ
Accredited Certificate of completion will be issued to those who attend & successfully complete the programme.
SCHEDULE
Our Course timings commence at 09:00 and conclude at 13:00.
REGISTRATION & PAYMENT
+44 (0) 20 80 900 464
info@lpcentre.com
DUBAI Business Bay - Marasi Drive
Churchill Tower commercial 1, Office 107
+971 4 421 4616
Please complete the registration form on the course page & return it to us indicating your preferred mode of payment. For Further Information, please get in touch with us.
KUALA LUMPUR
CANCELLATION AND REFUND POLICY
Delegates have 14 days from the date of booking to cancel and receive a full refund or transfer to another date free of charge. If less than 14 days notice is given then we will be unable to refund or cancel the booking unless on medical grounds.
For more details about the Cancellation and Refund policy, please visit www.lpcentre.com/terms-and-conditions/
TRAVEL AND TRANSPORT
No. 03-06-05, UOA Business Park, Jalan Pengaturcara U1/51A, Section U1, Kawasan Perindustrian Temasaya, 40150 Shah Alam, Selangor
+60 19-305 5694
We are committed to picking up and dropping off the participants from the airport to the hotel and back.
www.lpcentre.com
www.lpcentre.com