Artificial Intelligence (AI) & Machine Learning (ML)

Every software application today is fighting for space in an increasingly crowded market, so software vendors need to differentiate their offerings with valuable features to avoid losing out to competitors. An increasing number of application teams are turning to predictive analytics as a source of competitive differentiation and additional value for end users. In fact, Read more »

In this talk, Shakhina Pulatova gets deep on the art of searching. She takes us through search basics, to what powers search products, and ends with why you should give creating search products a try. On Intent The act of searching means the user has a question that needs answering, so the first key principle Read more »

In this ProductTank San Francisco talk Alex Miller, one-time software engineer in the content understanding team at Yelp, gives us a case study of using machine learning (specifically deep learning) to provide a ranking system that surfaces the most beautiful photos of a business to the top of their page. Basic Photo Ranking You may know Read more »

Summary: Done properly, applied artificial intelligence (AI) can enhance the user experience across your product – providing value for your users and your organisation. However, you need to allow your users to make the final judgement, spend time training your model, build in feedback loops and be transparent about how you’re using AI. How to Read more »

Machine learning has taken over huge parts of our world, from diagnosis of medical conditions to legal queries to beating human players in Go. How does this affect how we design, build, and manage products? In this insightful talk from Mind the Product London 2017, Josh Clark shares how we need to think about product Read more »