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AI Monetisation Strategies
  • Overview
  • Objectives & Outline
  • Methodology
  • Participant Profile
  • Trainer
  • Overview
    Programme Details
    Date
    1 – 2 March 2023
    Time
    9:00 AM – 5:00 PM
    Venue
    Asian Banking School
    HRDC PROG NO
    10001254237
    Monetising your artificial intelligence (AI) initiatives comes in many flavours. You can focus on using AI to improve your organisation’s productivity and drive down costs. You can also create new revenue opportunities with AI by making actionable insights available to clients. This 2-day programme shows how multiple aspects of the organisation needs to come together – from creating a data-driven culture and conceiving new datasets, to governing its data and knowing how to build data-powered products – to create a money-making factory powered by AI.
    Learning Level
    Foundation
    Programme Fees*

    AICB MEMBER

    MYR

    2,400

    / PAX

    NON-MEMBER

    MYR

    2,700

    / PAX

    *Subject to 6% Service Tax

  • Objectives & Outline
    LEARNING OBJECTIVES
    By the end of the programme, participants will be able to:
    • Monetise their data assets using advanced analytics and AI
    • Walk away with a list of monetisation “quick wins” – industry use cases they can start right away in their organisation
    PROGRAMME OUTLINE
    The Artificial Intelligence Landscape
    • Understanding the importance of Big Data and AI, concepts and applications in the digital economy

    Organisational Big Data Analytics and AI Maturity
    • Different stages of Big Data Analytics and AI Maturity stages (descriptive, diagnostic, predictive and prescriptive) and the applications

    The AI Ecosystem
    • Structured format from data ingestion to analytics, reporting and actionable insights

    The Operations and Money-Making Data Scientist
    • Capability of different roles in AI Ecosystem

    AI Systematic Approach to Starting an AI-driven Project
    • Structured methodology for high-impact analytics projects

    AI-driven Use Cases
    • Leading practices of local and global companies in applications of AI

    Group Activity
    • AI-driven monetisation business case brainstorming and prioritisation
  • Methodology
    Interactive group discussions, lectures, exercises, case studies and sharing of real-world experiences
  • Participant Profile

    Middle to senior-level executives from all divisions

  • Trainer

    TECK GUAN

    Teck Guan has been working as a software practitioner primarily in the development area. He had previously worked in Accenture as a consultant to help clients in digital transformation to improve business processes and customer experiences. He has more than 10 years of working experience in different MNCs helping the companies to develop systems as part of the digital transformation journey in different industries.

    He is a part time lecturer at one of the local universities and has conducted numerous face to face classes primarily Microsoft Excel, Big Data Science, Big Data Strategy and AI monetisation. In addition, he has also conducted virtual online training in Data Science especially during the MCO period for local and overseas candidates. Teck Guan has a Master degree in Data Science from University of Malaya and Bachelor Degree in Information and Communication Technology from the Universiti Teknologi PETRONAS. His core professional strengths include system development, data science and project management.

    PETER KUA

    Peter Kua is the cofounder and CEO of GradientX. His responsibilities include finding ways data can be used as a competitive advantage as well as identifying new business opportunities with data. He also heads the Data Science team in REV Media Group (formerly known as Media Prima Digital) and was instrumental in driving the National Big Data Analytics Initiative under MDEC in the areas of thought leadership and industry development. He played a key role in developing the first National BDA Framework that delivered strategic recommendations and action plans to achieve the National BDA vision.

    Peter has conducted training in areas that includes public masterclasses in Big Data Strategy for NTT Data, PAS Selangor, CIIF, PosAviation Hitachi, FGV, Perodua Maxis, SIRIM, and Principal Asset Management CIMB. In addition, he also trained several in-house Big Data Strategy workshops for organisations such as OCBC, Keysight, TNB, TM One, and Johnson Johnson. During the MCO period, Peter conducted several Big Data Strategy virtual classes for Citibank, Alliance Bank, Bank Islam, Intel, Osram, Dell, Sarawak Energy, Optics Balzers Penang Port, and Maxis Broadband. Peter’s core professional strengths include data science and big data strategies, web development and project management. His industry experience includes the media, internet, manufacturing, FMCG, e learning and agriculture.

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