Building AI Products (Technology - Data - Strategy)

Do you know what are the tools used by Product Managers while implementing Artificial Intelligence projects and building AI Products? In this video we have Dhruv Rastogi - Vice President & Head of Data Science IKS Health, taking you through the differences between Traditional Tech Products vs AI products, Key Technological Concepts in AI, and What you need to know in Data Management, Adopting Business Strategies with AI.
AI Product Management | Product Management

Sections of the Video
[00:00] Introduction to Drew Rastogi
[01:14] Understanding AI Product Development
[02:54] Four Key Aspects of Building AI Products
[04:50] Differentiating AI from Traditional Algorithms
[06:08] Key Concepts in Artificial Intelligence
[07:46] Choosing Between Machine Learning and Deep Learning
[09:34] Neural Networks and Deep Learning
[10:38] Quiz: Selecting ML or DL for Use Cases
[15:13] Types of Machine Learning Techniques
[17:29] Machine Learning Algorithms
[18:34] Quiz: Identifying Supervised vs. Unsupervised Learning
[22:07] Landscape of AI Technologies
[23:33] Developing Business Strategy with AI
[26:07] Quiz: Applying AI Use Cases to Business Strategy
[28:13] Impact of AI Products on Workflow
[29:34] Challenges in Building AI Products
[30:18] AI's Core Role in Products
[31:03] AI as a Feature in Products
[32:29] Human Involvement in AI Development
[34:19] Key Aspects of AI Product Development
[38:13] The AI Flywheel Effect
[40:32] Product Ideation and Development Techniques
[41:11] Build vs. Buy Strategy in AI Products
[43:50] Data Collection Techniques
[51:00] QnA

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Видео Building AI Products (Technology - Data - Strategy) канала Institute of Product Leadership