**POSTPONED**Humanising Decision Making with Artificial Intelligence (AI)

Innovation

18
Jun 2020

18 June 2020

8:30 am - 5:00 pm

Securities Commission Malaysia

MYR 950 *Fee is not inclusive of 6% SST

KINDLY TAKE NOTE THAT THIS EVENT HAS BEEN POSTPONED FOLLOWING THE RECENT OUTBREAK OF COVID-19. 

STAY TUNED FOR DETAILS OF NEW DATE AND VENUE.

Artificial Intelligence (AI) technology has been around for a while, however its capabilities, funding and overall interest have only catapulted in recent years. AI has already proved its potential for effectiveness and efficiency, which eventually redefine the way we live, work and communicate with one another. The emergence of AI has actually improved human interaction, especially within business environment.

Prescriptive analytics deemed as the next frontier of disruption based on AI technology can help executives become better leaders by applying unbiased data in making difficult decisions. The rise of AI is expected to help create digital tools that will rapidly transform the capital markets value-chain by introducing aspects such as automating deal matching, investor matching processes, automated trade reconciliation, fraud detection and improve the accuracy of financial models.

The biggest and most important opportunities for human intelligence in this new age of super-powerful machine learning lie at the intersection of two areas:

  • figuring out what problems to work on next, and
  • persuading others to tackle them using the defined solution.

Business intelligence (BI) applications will be one of the fastest growing areas in leveraging AI technology over the next five to 10 years. By embracing the confluence of AI and BI, businesses can synthesize vast quantities of data into coherent plans of action for effective decision making. Humanising technology means designing technology to be better for humans as well as more effective in facilitating interactions between humans.

Programme Objective

The aim of this programme is to provide understanding on how AI-powered technology could be leveraged to improve investment performance through smarter, contextual and data-driven risk management solutions in order to make better and effective business decisions.

Upon completing the programme, the participant should be able to:

  1. describe the available AI tools and applications in performing effective decision-making
  2. recognise the impact of AI technology and recommend changes to business processes
  3. discuss potential strategic business decision-making based on AI-powered prescriptive analytics
  4. explain on how companies could build own AI based on data analytics
  5. discuss how AI technology could shape the future workforce

Methodology

Interactive presentations, guided discussions and Question-and-Answer (Q&A) session

Competencies

Functional (Technical) – Digital Technology Application (Level 3)
Foundational (Product) – Capital Market Environment (Level 3)
Behavioural (Organisation Leadership) – Decision Making (Level 3)

Target Audience

Individual 

Directors, C-Suites, Key Management Team, Business owners and individuals with decision making role and capacity

Institutions 

Public Listed Companies (PLCs), Legal Firms, Consultancy Firms, Accounting Firms, Fund Management Companies, Stockbroking Firms, Investment Banks, Small Medium Enterprises (SMEs)

8.30 am Registration
9.00 am AI Fundamentals

·       What is Artificial Intelligence (AI)? – A broad overview of terms and technology

·       What are the 5 misconceptions regarding implementing emerging technologies?

·       How could AI impact my business unit – both negatively and positively?

·       AI – Accelerating disruption: Opportunities or crisis?

 

Intervention 1: Team Role Play – CEO of a disrupted company

10.30 am Coffee Break
11.00 am Building an AI Mindset – Agile Leadership

• AI and its use in creating operational efficiency or strategic innovation

• What are the limitations of AI

• What business problems can AI help solve?

 

Intervention 2: Case Study – What impact is AI having on existing industries?

 

Experiential Planning Insights

• Case Study – Building an Agile business – A requirement if AI is to be effective

• Case Study – Building an AI-powered business

• Case Study – What is outside-in versus inside-out based analysis?

• Case Study – What is data driven decision making?

 

Objective: Using data science, strategic planning and of AI in creating new competitive advantage

 

12.30 pm Lunch Break
2.00 pm Planning – From Data Science to Business Value

An Executive’s starter guide to data science

The practical use of analytics

Outcome-based objectives and data driven pivot points

Linking data with strategic plans

 

Intervention 3: Practical – Data science basics for business Executives

3.00 pm Coffee Break
3.15 pm Execution – Building Your Own AI

• Case study on how Google reduced their own power usage using AI

  • Build your own AI (Part 1): Creating an AI game that educate as you play
  • Build your own AI (Part 2): Building the brain of a self-driving car

•       Designing the future workforce with AI mindset

 

(This is done through the use of code templates and easy steps for Executives to follow)

5.00 pm End of Programme

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