Singapore University of Social Sciences

AI, Blockchain, Quantum Computing and Cloud in Banking and Insurance

AI, Blockchain, Quantum Computing and Cloud in Banking and Insurance (CET150)

Applications Open: 18 December 2019

Applications Close: 04 August 2020

Next Available Intake: 18 August 2020

Course Types: Short Course, SkillsFuture Series

Language: English

Duration: 2 days

Fees: $1400

Area of Interest: Management, Information Technology, Finance, Business Administration, Others

Schemes: To be confirmed

Funding: SkillsFuture

School/Department: SUSS Academy


Duration: 2 days
Venue: Singapore University of Social Sciences
Minimum number to run: 25 participants (To be updated by SUSS)
Certificate of completion is awarded upon fulfilling course requirements.


Synopsis

In this 2-day course, we will look at the rapidly changing technological landscape using concrete case studies collected globally. We seek to examine how millennials, boomers, nations and corporates are changing and adapting to cope as technology forces change in how we 1) think and learn with artificial intelligence (AI); 2) (re)organise ourselves in the corporate world; 3) understand how Chinese companies are pulling ahead in the rollout of global payments systems; 4) know which corporates are doing a better job in accepting and adapting to revolutionary change; 5) comprehend how technology is radically changing our understanding of insurance.

Who Should Attend

Business and Industry Consultant, Enterprise Resource Planning Consultant, Business Manager, Financial Analyst, Investment Research Analyst, Application Development Manager, Business Process Consultant, Chief Information Officer, Manager (Financial Planning), Courseware Developer

Learning Outcomes

A. Knowledge and Understanding (Theory Component)

At the end of this course, participants should be able to:

  • Identify the human and corporate blindspots that cause failure and how AI can overcome them
  • Describe the nuts and bolts of blockchain, cloud, quantum computing and insurtech
  • Discuss the ways in which banking and insurance are adapting more rapidly than others
  • Analyse how incumbent elephants learn to adapt and use new technologies to reinvent themselves

B. Key Skills (Practical Component)

At the end of this course, participants should be able to:

  • Employ the most applicable AI skills in creating a start-up
  • Compare corporate strategies which will work and which will be doomed through case studies
  • Criticize the role of AI as a vital ally in avoiding pitfalls in investing
  • Assess the future applications of quantum computing and the preparation for it

Schedule

TimeAgenda
Day 1
09:00 – 09:152-Day Course Overview
09:15 – 10:45Escaping the Personal and Corporate Lizard Brain
  • The 21 human blindspots that ruin investments
  • How AI overcomes them with standard tools and new deep learning algorithms
  • Case studies: Netflix, Facebook, Google, Ping An, Weka
10:45 – 11:00Break
11:00 – 13:00China vs the US in AI and Financial Services
  • Ways in which Alibaba and Tencent are way ahead of US
  • How ecosystems evolve as an outward growing circle of data sharing
  • Case studies: Tencent, Zhong An, Alibaba vs Facebook, Google, Amazon, Microsoft, Apple
13:00 – 14:00Lunch
14:00 – 15:30Evolution of Banking
  • Ride share, e-commerce and payments morphing into lifestyle banking
  • Alibaba moves into global e-commerce and payments for OBI, beating Tencent
  • Are Walmart and Amazon into financial services in India?
  • The differences between a good credit and a good citizen
15:30 – 15:45Break
15:45 – 17:30New Players and Products in Financial Services
  • China: Hate the bitcoin sinner; love the blockchain sin
  • Case studies: DBS, Fujitsu, IBM
  • How big Kahunas are changing: China Life, China Unicom, Singtel
  • Will central banks try to singularize a universal blockchain system?
Day 2
09:00 – 09:15Overview of the Day and a Quick Recap
09:15 – 10:45Connection Between Blockchain and IOT
  • Learning from failure
  • Why banks must create online digital banks, immediately?
  • Case studies: Goldman, JPM, Tencent, Alibaba, Santander, Lufax
  • The blockchain clock - blockclock
10:45 – 11:00Break
11:00 – 13:00Ping An and the Transformation of Healthcare and Insurtech
  • How Ping An uses core data to create ever richer data sources
  • How insurance data is pro-hint into credit data
  • How AI causes quantum improvements in business
  • Case studies: The Ping An move in O2O - and the evolution of Lufax
13:00 – 14:00Lunch
14:00 – 15:30Insurtech - Digitizing Head, Heart, and Hand
  • Millennials vs boomers
  • What the temporary nature of millennials means for insurtech products?
  • IOT and insurtech
  • Digitizing insurance data
  • Transformation and learning from mistakes
  • Case study: Ping An
15:30 – 15:45Break
15:45 – 17:00Conclusions: Implications for Startups and Corporates
  • Digitizing the elephant
  • Growing the small companies with AI
  • Becoming better investors with AI
  • Limits of AI - and the evils that people do
  • Feedback - did this change your view of corporate strategy or startup?
  • Feedback - what are the danger points for Alibaba and Tencent?
  • Feedback - Singapore needs to glue itself to Indonesia?
  • Feedback - will the US go after China to isolate it further in 2021?
17:00 – 17:30Assessment


Requirements

For any enquiries regarding the workshop requirements, please email suss_ftb@suss.edu.sg.

Trainer's Profile

Paul SchultePaul Schulte
Founder & Editor, Schulte Research

Paul Schulte is founder of Schulte Research, set up in 2012 researching financial institutions and financial technology.

He has spent 3 decades in research on financials. He has worked for all 3 branches of US government, including the NSC at the White House. He currently teaches in 3 universities, has written 5 books and authored hundreds of articles. He has worked for the Number 1 investment bank from US, UK, Japan, China and Switzerland starting in 1990. He has taught on 5 continents. His focus is technological change in banks and insurance. He has been a source for the WSJ, NYT, Bloomberg, Nikkei, FT, Economist, Barron's and Forbes.

His clients include some of the largest sovereign, pension, mutual and hedge funds globally. He is the author of "The Next Revolution in our Credit Driven Economy".

Application Procedures

Please submit the following documents to cet@suss.edu.sg:

  1. Coloured copy (back and front) of NRIC for Singaporeans and PRs, or "Employment"/"S" Pass for foreign applicant
  2. Recent payslip or income statement (For WTS scheme only)
  3. Application form

Note: For SUSS current students and staff members, you are not required to complete the application form. Instead, please email suss_ftb@suss.edu.sg to register.

Course Fee

International ParticipantsS'poreans (aged below 40) and PRsSkillsFuture Mid-Career Enhanced Subsidy1
(S'poreans aged 40 and above)
Workfare Training Support2
(S'poreans aged 35 and above, and earn ≤ $2,000 per month)
Enhanced Training Support for SMEs3
Full Course fee (A)$1400$1400$1400$1400$1400
SSG grant (70%) (B)-($980)($980)($980)($980)
Nett course fee (A) - (B) = (C)$1400$420$420$420$420
7% GST on nett course fee (D)$98$29.40$29.40$29.40$29.40
Total nett course fee payable, including GST (C) + (D) = (E)$1498$449.40$449.40$449.40$449.40
Less additional funding if eligible under various schemes (F)--($280)($350)($280)
Total nett course fee payable, including GST, after additional funding from the various funding schemes (E) - (F) = (G)$1498$449.40$169.40$99.40$169.40

1 Mid-Career Enhanced Subsidy: Singaporeans aged 40 and above may enjoy subsidies up to 90% of the course fees.
2 Workfare Training Support: Singaporeans aged 35 and above (13 years and above for Persons with Disabilities) and earning not more than $2,000 per month may enjoy subsidies up to 95% of the course fees.
3 Enhanced Training Support for SMEs: SME-sponsored employees (Singaporean Citizens and PRs) aged 21 and above may enjoy subsidies up to 90% of the course fees.

  • Participants are required to achieve at least 75% attendance and/or sit and pass any prescribed examinations/assessments or submit any course/project work (if any) under the course requirement.
  • The course fees are reviewed annually and may be revised. The University reserves the right to adjust the course fees without prior notice. Singapore University of Social Sciences reserves the right to amend and/or revise the above schedule without prior notice.

SkillsFuture Credit

For SkillsFuture Credit, please refer to http://www.skillsfuture.sg/credit. Please note that SkillsFuture credit must be approved by SSG before course payment.

For clarification, please contact the Centre for Continuing and Professional Education (CCPE) via the following:
Telephone: +65 6248 0263
Email: CET@suss.edu.sg

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