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Generative AI for Corporate Productivity

his workshop equips corporate professionals with practical, hands-on experience using AI tools such as ChatGPT, Microsoft Copilot, and other generative AI solutions to streamline workflows, automate routine tasks, and enhance decision-making.

Participants will explore real-world corporate use cases, including AI-powered content creation, data analysis, customer support automation, and personalized communication. Through interactive exercises and case studies, they will gain actionable insights into integrating AI into their daily work—driving efficiency, productivity, and competitiveness in an AI-enabled business environment.

Participants are required to bring a laptop with internet access for hands-on activities.

Objective

• Equip leaders with practical, hands-on expertise in Generative AI tools.
• Identify opportunities where AI can enhance productivity, collaboration, and creativity.
• Build a structured framework for integrating AI Copilot into corporate workflows.

Learning Outcomes:

By the end of the programme, participants will be able to:

• Apply Generative AI to improve business efficiency and enable intelligent automation.
• Leverage AI tools such as ChatGPT and Copilot to support analysis, problem-solving, and decision-making.
• Understand the role of AI in knowledge management, risk management, and corporate governance.
• Develop actionable strategies to embed AI effectively into core business processes.

Outline

Module 1: Generative AI Essentials for Leaders

• Understanding Generative AI and its impact on leadership and teams
• Key use cases of AI in modern corporate environments
• The AI tools landscape: Microsoft Copilot, ChatGPT, and beyond

Module 2: Driving Productivity with AI

• Using AI to draft emails, create documents, and summarize information efficiently
• Enhancing knowledge management and business research with AI
• Leveraging AI for executive decision support and strategic analysis

Module 3: AI in Business Operations & Automation

• Applying AI-powered workflows across HR, marketing, and finance functions
• Case study: Enterprise-level AI process automation in action

Module 4: Embedding AI into Corporate Strategy

• AI governance: Ethical, responsible, and secure adoption
• Best practices for leading AI implementation within teams
• Future-proofing business and operating models with AI

Hands-On Session:

• Live demonstrations and practical use of AI tools for leadership decision-making

Who should attend

This course is designed for corporate professionals who want to leverage AI tools to enhance productivity, optimize workflows, and make better data-driven decisions.

Profile of Dwight Nuwan Fonseka

Head Data Analyst | Data Governance & AI | CAIP | CDSP | ACLP

Dwight Fonseka is a seasoned data analytics professional with over a decade of experience in big data, predictive modeling, and AI. Holding a Master’s in Education (NTU), a degree in Biotechnology (NUS). He is a Certified AI Practitioner (CAIP), Certified Data Science Practitioner (CDSP), and ACLP-certified trainer with extensive experience delivering data-driven insights and practical applications across industries.

Dwight has held roles such as Senior Data Analyst and Data Governance Officer at Plano Pte Ltd, specializing in healthcare analytics and machine learning. As an adjunct trainer, he delivers practical courses in data visualization, data storytelling, deep learning, and AI business models, using tools like R, Python, Tableau, and RapidMiner.

Notable Topics Trained:

• Data Analytics & Visualization (R, Tableau, Excel)
• Machine & Deep Learning (RapidMiner, DeepCognition)
• Data Governance & AI Business Models
• Predictive Analytics & Data-Driven Decision-Making