Foundations of Digital Transformation (in partnership with IIA Malaysia)

Online Course

Details

6 Jul 2020
8 Jul 2020

Program Overview

Today’s organizations face a critical dilemma – embrace Digital Transformation and remain a leader or embrace the status quo and become a laggard. This is based on the fact that Digital Transformation is starting to permeate organizations and can be found in a plethora of unusual places.
According to IBM by 2020 up to 85% of customer services interactions will not involve a human. Growing machine learning and NLP capabilities will allow for chatbots, phone support and self-service interfaces to deliver customer service at an acceptable level. These technologies will reduce errors, increase the speed of resolving customer issues and remove some of the bias present in customer service interactions. The UBS bank has already deployed, using IBM Watson, an avatar based on economist Daniel Kalt to interact with clients. The avatar was trained by Kalt himself and allows customers to speak to Kalt as if he were present physically
Surveys done by Bain & Co, a leading management consultancy, show that across every industry revenue at digital leaders grows more than twice as fast, as those at the laggards. And, profits follow a similar pattern.
However, the biggest challenge is in capturing these opportunities. Of all participants in the surveys, only 5% achieved or exceeded expectations, while 20% produced less than half of the desired outcome.
This program is designed to allow senior leaders, Board Directors and various other professionals understand the opportunities and imperatives in Digital Transformation. Over 2 days participants will become familiar with various technologies underpinning Digital Transformation, understand how they fit together and learn to identify areas and processes where significant improvements can be achieved. In addition, the attendees will understand what are some of the critical success factors and potential roadblocks in the process of Digital Transformation.

Learning Outcomes

Upon completion of this program, participants will:

  • Explain the current and potential impact of digitalisation
  • Understand and clarify various technologies used in Digital Transformation, such as Big Data, Articificial Intelligence, High-Performance Computing, Augmented Reality, to name a few
  • Identify opportunities for Digital Technology usage in various activities
  • Analyse the impact of digitisation and technology on business operations
  • Propose new ways to perform efficiently in the workplace in line with latest technological breakthroughs, upskilling talents for moving up the value chain

Intended Audience

  • Board Directors
  • CxO Leaders
  • Chief Internal Auditors
  • Chief Risk Officers
  • Governance Professionals
  • Finance Professionals
  • HR Professionals
  • Marketing Professionals
  • Engineers
  • Managers and Executives
  • Strategy and Innovation Professionals
  • Data Scientists
  • Business Intelligence Professionals
  • Business Analysts
  • System Analysts
  • Risk and Compliance Analysts
  • Finance and Operational Auditors
  • IS Auditors

Program Level and Pre-requisites for Attending

Foundation level, no pre-requisites

Program Duration

2 days

Number of Attendees

Maximum 70 attendees

Training Methodology

A distinguishing feature of this program is its emphasis on scenario work and demonstrations. At the end of major modules a practical exercise will be performed, designed to reinforce the concepts of the module.
Several modules include demonstrations of the technologies covered in the material. The objective of these is to provide with an easy way to visualize and comprehend concepts, such as Virtual Reality or Artificial Intelligence.

Program Outline

Day 1

  • Digital Technology Overview
  • Definitions
  • Impact on Society, Government and Enterprises

  • A Primer on the Role of Digital Technology in the Value Chain for Selected Industries
  • Primary Activities
  • Secondary Activities
  • Scenario Work
  • Cloud Computing
  • Introduction
  • Definitions
  • Cloud Strategy and Risk Management
  • Cloud Pricing Models
  • Automation / Robotics
  • Overview
  • Benefits and Risks
  • Use Cases in Specific Industries
  • Drone / UAV
  • Overview
  • Benefits and Risks
  • Use Cases in Specific Industries
  • Scenario Work
  • AR/ VR/ MR
  • Overview and definitions
  • The relationship between AR, VR and MR
  • Virtual Reality demo
  • 3D Printing and Wearables
  • Overview and Definitions
  • Examples of Current Uses
  • Blockchain
  • Introduction
  • What Blockchain Is and Is Not
  • Potential Use Cases
  • Cybersecurity and Privacy
  • Current Risks – Nature and Impact
  • Regulatory Environment – MENA, ASEAN, World-wide
  • Managing Cyber- and Privacy Risks – Processes and Methodologies
  • The Key Success Factor in Cybersecurity Risk Reduction
  • Practical Exercise

Day 2

  • Data Science, Big Data and Industrial Internet of Things (IIOT)
  • Introduction
  • Big Data – definition and types
  • Big Data Sources
  • IoT and IIoT – definitions
  • The Big Data-IIoT symbiosis
  • Data Science and Big Data Analytics
  • Use Cases in Selected Industries
  • Practical Exercise
  • Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL)
  • Introduction and Definitions
  • Types of AI and ML
  • The relationship between AI, ML and DL
  • AI in Practice - Modelling a business process
  • Overview
  • Inputs and Outputs
  • “It Starts with Pen and Paper” – Representing a Business Problem
  • Scenario Work
  • Dissecting the Value Chain for Digital Technology in the Organisation
  • Primary Activities
    • Production
    • Logistics
    • Marketing and Sales
  • Secondary Activities
    • Human Resources
    • Information Technology
    • Finance and Accounting
  • Scenario Work
  • Achieving Digital Readiness
  • Digital Readiness Roadmap
  • Critical Success Factors
  • Program Review, Q&A, Comments

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