7 Steps to Design, Build, and Scale an AI Product
Despite widespread belief that AI will transform the way we do business, 82% of businesses are still in the investigation or non-adoptive stage of AI. This talk will explore the fundamental use cases in AI and how designers and engineers can be at the forefront of prioritizing AI/ML best practices. From user research to MVP iterations, we will explore the core differences between building an AI and non-AI product so that you can feel confident proposing or launching an AI project of your own.
Outline/Structure of the Case Study
- Brief intro to AI - what does it do
- The 5 Levels of AI (identification, categorization, assessment, recommendation, prediction)
- 1-2 example use cases of AI
- How design differs in AI vs non-AI products
- How MVPs and the iteration process differs in AI vs non-AI products
- The first step: if you want to build with AI, what is the first thing you should do when you walk out the door?
Beginner knowledge about AI and potential use cases, what makes building an AI product different from building a non-AI product, and how non-AI experts can get started today.
Product owners, designers, and engineers looking for how to get started on an AI project
Prerequisites for Attendees
We will briefly cover what AI is, so becoming an AI expert is not a prerequisite. Participants should be somewhat familiar with design thinking or roles that design can play in the product building process.
schedule Submitted 2 years ago
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