dsai

(Generative) AI to Supercharge Products & Workflows

Enquiry
Programme Code D294
Domain
Data Science & AI
Level
Foundation
Learning Partner(s)
NUS-ISS
Duration
2 Days
Format In-person
Rating
Competencies
Data Collection Data Systems Engineering Data Systems Integration Exploration Analysis Statistical Techniques Optimisation Techniques Charts & Dashboards Data Storytelling ML Optimisation
Job Roles
Public Service Officer (non-ICT&SS) Project Manager (Agile) ICT&SS Professional Digital Service Manager Product Manager Quantitative Analyst Computational Scientist Data Engineer AI Engineer Chief Data Officer Data Strategist Data Architect

Overview

In Singapore’s dynamic business and governance landscape, your agency must embrace generative AI to lead and deliver superior services. Seamlessly integrate AI into business operations, focusing on product management and workflow optimisation.

Government agencies must prioritise leveraging AI to enhance service quality and achieve cost efficiency, essential for impactful outcomes across public and private sectors. This involves re-architecting processes to fully exploit AI's potential, enhancing efficiency, reliability, and performance significantly.

Explore real-world case studies on leveraging AI, especially generative AI, to enhance products and workflows. Gain frameworks, tools, and strategies to confidently initiate, manage, and deliver AI projects.

Key Takeaways

At the end of this programme, you will be able to:
  • Master the fundamental principles and capabilities of generative AI technologies
  • Learn strategic integration of generative AI into digital transformation initiatives across functional units and product management processes
  • Explore diverse applications of generative AI in business sectors, including retrieval augmented generation techniques
  • Harness generative AI to drive innovation and development within functional units and product management frameworks
  • Identify market opportunities where generative AI enhances product management strategies and functional unit operations
  • Gain insights into ethical considerations and cultivate responsible AI governance practices in product management and functional unit contexts

Who Should Attend

  • Please refer to the job roles section.
  • Project Managers, Product Owners, and Service Owners aiming to enhance products and services with AI and generative AI.
  • Senior executives sponsoring AI-driven initiatives for product and service enhancement.
  • Public Service Officers seeking to grasp the fundamentals of leveraging AI and generative AI for product and service enhancement.

Prerequisites

  • Strong interest in digital products and services and their impact on business transformation and competitiveness.
  • Prior work experience in project or product areas, and/or keen to transit to a strategic role,
  • Commitment to prior readings, class preparation, and project work outside in-class sessions over 2 days.
  • Dedication of 2 to 3 hours daily to complete class assessments outside of scheduled sessions.

This programme will cover the following topics:

  • Day 1:
  • Module 1: (Generative) AI Fundamentals and Framework
    • Overview of AI and its implications for businesses / government
    • Fundamentals of AI and Machine Learning (ML) for Leaders
    • Introduction to AI and GenAI with key concepts
    • Real-world Examples of AI/GenAI transforming Product Management and Re-architecting Workflow Processes
    • The Business Value of AI and generative AI: Enhancing Creativity, Innovation, and Decision-Making

     

  • Module 1: Framework for Incorporation of AI in Business Enterprises and Government Sphere
    • Overview of AI applications: Exploring real-world examples of AI / generative AI in product design, recommendation systems, forecasting, and zero/one/multi-shot computer vision problems
    • Integration strategies: Best practices to integrate generative AI into business workflows in different functional areas (e.g. HR, Finance, Sales & Marketing, Procurement)
    • Implementation Challenges and Solutions: Addressing common challenges and pitfalls during the implementation of AI / generative AI in products and workflows

     

  • Module 2: Supercharge Operational Workflows
    • Integrating AI/GenAI into Operational Workflows: Strategies and Considerations
    • Retrieval-Augmented Generation
    • Real-world use cases of AI/GenAI in Supercharging Operational Workflows: Objection Detection with zero/one/multi-shots vision, Recommendation systems based on user behaviour, and demand forecasting based on AI OCR approach

     

  • Day 2:
  • Module 3: AI to Supercharge Products
    • AI / generative AI in Product Management
    • Retrieval-Augmented Generation and Supercharge enhancements in Products
    • Driving Innovation through Generative AI: Creative Applications and Idea Generation
    • Enhancing Product Development with Generative AI: Prototyping and Iterative Design

     

  • Module 4: Design your workflow and product management with generative AI
    • Design your workflow with AI on supercharging workflow and products
    • Demonstration to Executive Sponsors (if it is corporate or government)
    • Solution transition to Business as Usual (BAU):
      • Streamline the ML deployment
      • Periodic data refresh
      • Managed Models Drift and Enhancement
    • Reflections and Takeaways

Certificate of Completion

The programme begins with learning about generative AI and practical use of available tools, followed by applying this knowledge to leverage AI within participants' organisations. Assessments include team workshop exercises and a team action plan.


Full Fee

Full programme fee

S$1200

9% GST on nett programme fee

S$108

Total nett programme fee payable, including GSTS$1308

With effect from 1 Jan 2024

NOTE

Funding is available for this programme. Please visit the Learning Partner’s website to find out about the updated programme fee funding breakdown and eligibility. Payment for this programme is to NUS-ISS, National University of Singapore.

Upcoming Classes

Class 1
12 Nov 2024 to 13 Nov 2024 (Full Time)
Duration: 2 days
When:
Time : 9:00am to 5:00pm
Class 2
08 Jan 2025 to 09 Jan 2025 (Full Time)
Duration: 2 days
When:
Time : 9:00am to 5:00pm

Agency-sponsored

Step 1 Apply through your organisation's training request system.

Step 2 Your organisation's training request system (or relevant HR staff) confirms your organisation's approval for you to take the programme.

Your organisation will send registration information to the academy.

Organisation HR L&D or equivalent staff can click here for details of the registration submission process.


Step 3 GovTech Digital Academy will inform you whether you have been successful in enrolment.