About This Course
Generative AI is rapidly revolutionizing business operations across various sectors, offering new capabilities to enhance productivity, optimize workflows, and drive decision-making efficiency. For Global Business Services (GBS) professionals in finance, accounting, and IT operations, AI provides the opportunity to automate routine tasks, generate data-driven insights, and improve service delivery at scale.
This enables GBS professionals to significantly boost productivity, unlocking opportunities to focus on higher-value initiatives that enhance overall business performance.
This course will demonstrate how Generative AI can empower your teams to reduce manual workloads, streamline processes, and provide more strategic value. Through hands-on exercises and real-world case studies, you will learn how to harness this technology to enhance the operational excellence of your department and Service the wider business in a rapidly changing digital landscape.
Learning Objectives
Educate on Generative AI Benefits: Provide an overview of how Generative AI can enhance efficiency, reduce costs, and drive innovation in Global Business Services operations.
Showcase Real-World Applications: Present case studies and practical examples of local and global companies successfully leveraging Generative AI to improve operations, customer experiences, and competitiveness. Participants will gain useful insights into how Generative AI can boost their own productivity and improve operational outcomes.
Present Adoption Roadmap: Offer actionable insights and strategies for integrating Generative AI into business processes. Participants will apply a practical framework to assess their organization's readiness for Generative AI, initiating team discussions on building an adoption roadmap.
Provides Hands-On Experience with GenAI Tools: Offer practical experience in effectively using GenAI tools to obtain desirable results.
Prerequisites
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Target Audience
Global Business Services Professionals from finance, accounts and/or IT operations
Training Outline
- Introduction
- Brief Overview of Artificial Intelligence, Machine Learning & Generative AI
- Appreciation of Large Language Models & Foundation Models
- Current Landscape of Generative AI Adoption
- Adoption Roadmap
- Prompt Engineering
- Hands-on Exercise 1: Using Prompt Engineering for Linear Regression Analysis
- Hands-on Exercise 2: Creating a Proposal Using Multi-Modal GenAI
- Hands-on Exercise 3: Building Chatbots with ChatGPT Builder
- Protecting and Securing Your Data
- Hands-on Exercise 4: Using ChatGPT for Financial Analysis and Reporting
- Governance, Ethics and the Future of AI
- Final Discussion Exercise: Presentation of GBS Adoption Plan
- Wrap-up and Conclusion