From the course: AI Product Ideation: Principles and Practical Applications
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Coming up with completely new AI products
From the course: AI Product Ideation: Principles and Practical Applications
Coming up with completely new AI products
- [Instructor] Creating new AI-based value streams is one of the most exciting processes. Often, these ideas emerge naturally as a side effect of process workshops or during dedicated data monetization workshops that I run for AI savvy companies. Let me show you how it works. The first step is understanding your company's data. This means going beyond a general awareness and building a detailed inventory of your data sources, their size, and what they contain. Think of it as mapping out your data assets. This gives you a solid foundation for brainstorming. Then usually during a workshop, we start ideating. Here's where the fun begins. This phase isn't overly structured. It's very creative and exploratory. We look at the data, your processes, and the services you currently offer, then start asking questions like, "What extra value would customers pay for? What could make their lives or work easier, more enjoyable, or more exciting? What gaps in the market could your data help solve?…
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Contents
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Ideation workshop: Preparation6m 16s
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Ideation workshop: Core process6m 55s
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Ideation workshop: Best practices4m 3s
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What you should know before ideating5m 35s
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Ideation workshop: Presentation3m 55s
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Ideation workshop: Outcomes4m 38s
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Organizational ideation: Idea collection5m 7s
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Organizational ideation: Best practices5m 13s
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Organizational ideation: Outcomes4m 55s
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Coming up with completely new AI products4m 38s
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Coming up with completely new AI products: Examples6m 5s
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