Mastering the AI Design Process: From Concept to Deployment & Key Stakeholders Explained

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  • Опубликовано: 5 окт 2024
  • Welcome to our comprehensive guide on The AI Design Process! 🚀
    In this video, we'll take you on an insightful journey through the 10 critical stages of designing an AI-based product, starting from the initial concept and culminating in deployment. We'll cover:
    1. Idea Generation and Problem Definition
    2. Feasibility Study
    3. Requirement Analysis
    4. Design and Planning
    5. Data Collection and Preparation
    6. Model Development
    7. Integration and Testing
    8. Deployment
    9. Monitoring and Maintenance
    10. Iteration and Improvement
    But that's not all! We'll also introduce you to the Key Stakeholders involved in AI projects and delve into their crucial roles:
    Project Sponsor/Executive Leadership
    Project Manager
    Data Scientists/AI Engineers
    Data Engineers
    Software Developers/Engineers
    Domain Experts
    UX/UI Designers
    Quality Assurance (QA) Testers
    Legal and Compliance Officers
    Ethics and Governance Committees
    Customers/End-Users
    Vendors and Partners
    🎯 Learning Objectives:
    Understand the sequential stages of the AI design process.
    Recognize the importance of each phase from concept to deployment.
    Identify the key stakeholders in AI projects and their roles.
    Appreciate the collaborative nature of AI development.
    📚 Additional Resources:
    Articles:
    "The AI Project Lifecycle: From Idea to Deployment" - AI Magazine
    "Stakeholder Engagement in AI Development" - Journal of AI Research
    Videos:
    "Managing AI Projects Effectively" - Webinar by the AI Project Management Institute
    "The Importance of Cross-functional Teams in AI" - TED Talk by Dr. Jane Smith
    👍 If you find this video helpful, please like, share, and subscribe for more insights into the world of Artificial Intelligence!
    #ArtificialIntelligence #AIDesignProcess #AIDevelopment #MachineLearning #AIProjects #DataScience #TechEducation #AIStakeholders #AIDeployment #AIEngineering

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