Session Objective (Overall)
Empower leaders to leverage Generative AI and ChatGPT effectively, enhancing productivity and integrating AI-driven strategies into various business functions. This 8-hour workshop is designed to provide practical insights, hands-on exercises, and relevant use cases for each department.
Learning Outcomes
By the end of this workshop, participants will be able to:
- Understand the foundational concepts of AI and Generative AI in business contexts.
- Implement prompt engineering techniques to produce targeted results across functions.
- Identify practical applications of Gen AI for business functions such as HR, Admin, Production, and Technology.
- Formulate a department-specific AI strategy to streamline operations and boost efficiency.
- Address ethical considerations and anticipate future trends in Generative AI.
Module Outline
Module 1: Introduction to AI
- Definition and scope of Artificial Intelligence in modern organizations.
- Evolution of AI from Machine Learning (ML) to Deep Learning (DL) and Generative AI.
- Real-world examples of AI in business functions.
- Understanding AI’s role in increasing efficiency and decision-making.
- Hands-on Activity: Discussion on AI’s impact and potential in participants’ respective departments.
Module 2: Understanding Generative AI
- Explanation of Generative AI and how it differs from traditional AI.
- Key applications of Generative AI in business.
- Exploring the benefits and challenges of Gen AI.
- Real-world use cases across industries.
- Dive into Various Generative AI Applications
- Tool Selection for Different Applications
- Demonstration of Text-to-Text Applications
- Explore Text to image tools, text to video, text to voice
- Hands-on Activity: Experiment with ChatGPT to understand generative responses for business inquiries.
Module 3: Prompt Engineering
- Introduction to prompt engineering and its importance.
- Types of prompts for various business needs.
- Customizing prompts to achieve desired AI outputs.
- Practical tips for crafting effective prompts.
- Hands-on Activity: Participants practice creating prompts specific to their departments and compare results.
Understanding Fundamentals of ChatGPT
- Exploration of Different use cases of ChatGPT
- Key Features and Functionalities
- Use Cases and Applications in your industry
- Comparison Between Various LLMs
- Limitations and Workarounds
- Future Developments within ChatGPT
Hands on activity: Participants will explore various ChatGPT, Bing AI, comparing their features and applications. They’ll experiment with different tools to understand their functionalities within business contexts.
Module 4: Building an AI Strategy
- Steps to create a customized AI strategy aligned with company goals.
- Identifying department-specific use cases for AI.
- Aligning AI strategy with productivity and efficiency goals.
- Addressing challenges in AI adoption and integration.
- Hands-on Activity: Teams outline an AI roadmap focusing on strategic, operational, and efficiency objectives.
Module 5: Generative AI for Various Business Functions
- Exploring department-specific applications:
- HR and Admin: Using AI for recruitment automation, employee engagement insights, policy drafting, and document management.
- Inserts Production: Optimizing production processes with Gen AI, SOP creation, taking advisory with Gen AI tools for various tasks
- Quality Control: Leveraging AI for quality assessment, defect detection, and real-time monitoring to maintain high standards and reduce human error using Traditional AI and computer vision
- Production Planning & Control: Utilizing Gen AI to forecast demand, optimize production schedules, and manage resources efficiently.
- Business Controller: Employing AI for financial forecasting, budget analysis, and data-driven decision-making, aiding in accurate financial planning and cost control.
- Purchase and Logistics: Streamlining procurement processes, inventory management, and supply chain optimization. Using AI to compare proposals, vendors and agreements, review supplier contracts too
- Facility Management & Sustainability: Enhancing facility operations, automating documentation, manual data entry, making of incident reports using Generative AI, also writing and dealing with local authority and vernacular language letters using Gen AI
- Case studies of Gen AI in different functions.
- Hands-on Activity: Participants identify potential applications in their departments and discuss implementation.
Module 6: Integrating Gen AI into Work
- Using Gen AI to streamline day-to-day operations.
- Enhancing productivity through automation.
- Document creation, meeting summaries, and content generation.
- Leveraging AI for internal communications and team collaboration.
- Hands-on Activity: Participants use Gen AI tools to draft documents, emails, or reports for typical departmental tasks.
Module 7: Using Gen AI for Office Functions
- Applying Gen AI in routine office functions for time savings.
- Document processing, scheduling, and task management automation.
- Using ChatGPT and other tools for repetitive tasks.
- Visual aids and presentations with AI support.
- Hands-on Activity: Participants automate a common office task using Gen AI tools and reflect on efficiency gains.
Module 8: Data Analysis and Presentation with Gen AI
- Overview of data processing and visualization with AI.
- Analyzing trends and insights using Gen AI tools.
- Creating engaging presentations with AI-generated visuals.
- Using AI for report generation and summarization.
- Hands-on Activity: Teams create a data-driven presentation or report using Gen AI insights.
Module 9: Ethics in Generative AI
- Ethical considerations and responsible AI usage.
- Addressing bias and fairness in AI-driven decisions.
- Ensuring transparency and accountability.
- Regulatory landscape and industry guidelines.
- Discussion: Participants discuss ethical challenges in their respective departments and brainstorm mitigation strategies.
