Summary of How to Build AI Products to Power Growth as a Product Manager

00:00:00 - 00:45:00

In this video, Ariel Yaron discusses how to use machine learning to power product growth. He explains that machine learning can be used to solve specific problems, and provides examples of how this has been done in the past. He also discusses how to use machine learning to improve product management, with case studies of how it was used.

• 00:00:00 In this video, product gym instructor and growth product manager, Ariel Yaron, discusses growth product management, including the objectives of the role, the different phases of the growth funnel, and how to optimize value for a product.
• 00:05:00 In this talk, the speaker defines machine learning, AI, and product managers. He goes on to explain that machine learning is a more precise definition of AI and that product managers should be data-driven and experiment-driven.
• 00:10:00 This video discusses the difference between machine learning and artificial intelligence, and provides an overview of how these technologies are used in product management. It notes that machine learning is often used to solve specific problems, and provides examples of how this has been done in the past.
• 00:15:00 This video provides tips on how to use machine learning products to improve product management. The five main algorithms are regression, classification, clustering, and anomaly detection. These are all used to improve product usability and growth.
• 00:20:00 This video discusses how to use machine learning to power product growth, with case studies of how it was used.
• 00:25:00 In this video, the product manager for LinkedIn discusses how machine learning can be used to improve follow recommendations on the platform. The hypothesis is that if the model is optimized for engagement, then recommendations will be more relevant and helpful to users.
• 00:30:00 The three case studies discussed in the video focus on product management principles such as ranking and discovery. These case studies illustrate how machine learning can be used to improve the user experience of a product and help grow the product's user base.
• 00:35:00 Product growth mindset is important for product managers who are trying to power growth. The mindset involves thinking objectively and analytically about the problem a product is solving, how it fits into the existing ecosystem, and how to improve it. Books and talks on systems thinking can help improve ecosystem thinking.
• 00:40:00 The presenter explains that in order to determine if an experiment results in statistically significant results, you need to check if the p-value is less than 5%. He also mentions that in order to be an effective product manager, you should take data science classes.
• 00:45:00 The speaker explains that when developing AI products, it is important to test them with business logic first in order to make sure the product is viable. He gives an example of how they tested a recommendation model for events. If you're not using machine learning, this is a relief because it can be difficult to wrangle if you do.