Generative AI for Business

Generative AI for Business is a comprehensive 3-hour course designed to introduce professionals to the dynamic world of generative artificial intelligence, particularly focusing on its implications and applications in the business sector. The course begins with foundational knowledge, introducing participants to generative models and Large Language Models like ChatGPT. It then delves into practical business applications, from content creation to data analysis, while also addressing the strengths, limitations, and ethics relevant to AI deployments. The course concludes with insights on effective implementation strategies and a glimpse into the future of generative AI in the business landscape.

The course will cover -

Introduction to Generative AI
● What is a Large Language Model (LLM)?
● What are LLMs capable of?
● Vendor landscape

Strengths and Limitations of Generative AI

● Strengths of Generative AI
○ Scalability
○ Cost-effectiveness
○ Rapid content generation
○ High quality outputs for many domains
○ Human-like language capabilities
○ Versatile - can adapt to new domains
○ Constantly improving
● Limitations and Challenges
○ May generate incorrect or nonsensical content
○ Lack of deeper reasoning
○ Biases in AI
○ Quality control issues
○ The risk of over-reliance

Ethical Considerations and Best Practice

● Ensuring Responsible Use
○ Verification and accuracy
○ Bias and limitations
○ Accountability
● Privacy and data security
○ Data handling
○ Copyright
● Inclusive and fair access
○ Accessibility
○ Equitable Access

Business Applications of Generative AI

● Prompt Engineering
○ The importance of the quality prompts - getting the basics right
○ Creating dialogues and personas and role-playing scenarios
● Content Creation
○ Text generation - summarization, translation, creative writing
○ Marketing copy, blogs, and reports
○ Writing assistance - emails, reports, content creation
○ Data processing and analysis
○ Research and market analysis
○ Summarising large texts or data
○ Assisting in trend analysis
○ Automatic code generation
○ Automating repetitive tasks
○ Image generation
● Customer Support and Interaction
○ Customer Service and Chatbots
○ Personalised responses and interactive websites
● Automation and Efficiency
○ Process automation scripts
○ Generating templates and data-driven reports
● Implementing Generative AI in Business Operations - Choosing the right tool

Future of Generative AI in Business

● Emerging trends and developments
● Long-term technology roadmap
● Economic and workforce impacts
● Developing an AI strategy for your business