From the course: The New AI Tech Stack: AI Literacy for Tech Leaders
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Selecting valuable AI projects
From the course: The New AI Tech Stack: AI Literacy for Tech Leaders
Selecting valuable AI projects
- AI projects are already a reality for most companies. If they're not for yours, they will be soon. The question is, will you be focusing on the right projects? 53% of AI projects never deploy and are considered failures. The main reason is not bad data science nor poor data quality, but mostly bad selection of projects. Here's a story from my own experience. We deployed exactly what our client wanted, a product for a retail company, and the business refused to use the tool because it was not helpful to them. How did this happen? The company refused to engage end users in the process just assuming what the ultimate solution should be. That's why the process of choosing the best projects to portfolio is essential for AI success. The best way to ensure smart projects is to follow these simple steps. The first step is ideation, where you generate as many ideas as possible. It's best practice to either invite all employees to contribute ideas or just a selected group of business experts…
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