Generative AI for Business Applications

Description

Background / Overview

Generative Artificial Intelligence (GenAI) is one of the most disruptive technologies of our time, enabling organizations to rethink how they create value, innovate, and operate. Beyond content generation, GenAI offers powerful applications in business strategy, customer engagement, risk management, compliance, and process optimization.

This 3-day intensive program equips participants with both conceptual foundations and hands-on experience to explore GenAI as a driver of business transformation. Through interactive lectures, real-world case studies, and guided exercises, participants will learn how to responsibly integrate GenAI into business models and workflows.

Agenda / Content

Day 1 – Foundations of Generative AI

• Introduction to Artificial Intelligence, Machine Learning & Generative AI

• Evolution of GenAI: From rule-based AI to Large Language Models (LLMs)

• Key technologies: Transformers, Diffusion Models, Multimodal AI

• Overview of leading GenAI tools & platforms (ChatGPT, MidJourney, DALL·E, Copilot, etc.)

• Business case studies across industries (Finance, Healthcare, Marketing, Supply Chain)

• Interactive Session: Exploring GenAI outputs and limitations

Day 2 – Business Applications of Generative AI

• Enhancing productivity: Automating reports, proposals, and customer support

• Marketing & communications: Personalized campaigns, copywriting, and brand storytelling

• Product innovation & design: Prototyping, ideation, and creativity augmentation

• Finance & risk management: Fraud detection, compliance reporting, scenario modeling

• Data & analytics: Turning raw data into business insights with GenAI

• Hands-on Workshop: Using GenAI tools for real-world business scenarios

Day 3 – Implementation, Governance, and Future Trends

• Integrating GenAI into business processes & digital transformation strategies

• Change management: Preparing teams and leaders for AI adoption

• Risks & challenges: Bias, hallucinations, data security, and intellectual property

• Governance & compliance: EU AI Act, GDPR, and global AI regulations

• Future trends: Autonomous AI agents, AI + IoT, multimodal applications

• Group Project: Designing a GenAI use case tailored to participants’ business context

• Presentation & feedback session

Objectives

By the end of this program, participants will:

1. Understand core concepts and technologies behind Generative AI.

2. Identify high-impact GenAI applications across industries and business functions.

3. Gain hands-on skills in leveraging GenAI tools for day-to-day business tasks.

4. Assess risks, ethical issues, and regulatory implications of GenAI adoption.

5. Learn how to design an implementation roadmap for their organization.

Outcomes

Participants will leave the training with:

• A solid foundation in GenAI concepts, applications, and technologies.

• Practical experience using GenAI tools for business solutions.

• Insights into governance frameworks and responsible AI adoption.

• A draft business use case or action plan for piloting GenAI within their organization.

• Confidence to champion GenAI initiatives and drive innovation in their workplace.