From the course: AI Strategy Foundations for Data Scientists and Team Leaders
Join today to access over 25,200 courses taught by industry experts.
Why AI strategy is product focused
From the course: AI Strategy Foundations for Data Scientists and Team Leaders
Why AI strategy is product focused
Making an AI product is like a barista making a latte. Data models and others are the ingredients that must taste well together, but you still need to sell it to customers and think of the market. AI strategy ensures an AI product fits the business model, user needs, and market opportunities. Your biggest mental shift as a team leader is seeing AI as a product. Integrating AI strategy into your company isn't only tech, it's the potential product value of AI and data. Focus on adding business value. The benefit of AI products are increased profitability and efficiency. They improve user experience, enhance functionality and have product market fit. Data is at the heart of AI product value. Data is what fuels AI products and crafts profitable solutions. You need to work with product teams, engineers and users. Understanding the data and how to leverage it drives AI product profitability. You should think about trade-offs, dataset iteration and data exploration to make great AI products.…
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.