Choosing Your First AI Application

About this Video

• Video Title: Choosing Your First AI Application
• Channel: John Savill's Technical Training
• Speakers: John Savill
• Duration: 00:31:33

Introduction

This video guides viewers through selecting their initial AI workload. It emphasizes the importance of choosing a project with tangible business value and manageable risk, focusing on generative AI but acknowledging other AI types. The video stresses the need for preparation, including employee skilling and data readiness, before implementing AI.

Key Takeaways

• Prioritize Tangible Business Value: The first AI project must demonstrate measurable impact on the organization. Focus on clear business needs, such as revenue increase or cost reduction, with quantifiable success metrics.
• Data Readiness is Crucial: Ensure data quality, hygiene, and appropriate permissions before applying AI. Over-permissioning and data gaps can lead to problems. Data should ideally be easily accessible to the AI application.
• Technical Feasibility is Key: Choose a project with manageable technical complexity. Leverage existing infrastructure and expertise; simpler implementations (e.g., ready-made APIs) are preferable for initial projects.
• Minimize Ethical Implications: Prioritize projects with minimal ethical considerations, avoiding those involving sensitive data or high-stakes decisions (e.g., loan approvals, medical care). Responsible AI practices are essential.
• Scalability and ROI are Important: Select a project that can be scaled if successful, ensuring a clear return on investment. Quantify the costs associated with development and operation, offsetting them against the value generated.