LATEST POSTS

A guide to machine learning Part 2: Set yourself up for success

BY Eira Hayward on November 21, 2022 for Prioritised Members

The reduction in the cost of computing, and a growing understanding of what the technology can do means that machine learning (ML) is starting to become a tool that any software company can use. But how do you set yourself up for success? Here’s a rundown of the things you need to consider. TL;DR Is […] Read more »

SUNDAY REWIND: Product design in the era of the algorithm by Josh Clark

BY Louron Pratt on October 30, 2022

Machine learning has taken over vast parts of our world, from diagnosing medical conditions to legal queries to beating human players in Go. In this Sunday Rewind, we look back to 2017, when Josh Clark, Founder and Principal of Big Medium, shared how these advancements impact how we design, build, and manage products. […] Read more »

What you need to know about Spotify's search function - Jonny Brooks-Bartlett on The Product Experience

BY The Product Experience on October 26, 2022

What is the science behind Spotify nailing its algorithms to ensure that all users get what they search for?  On this week’s podcast, Lily and Randy sat down with Jonny Brooks-Bartlett, Senior Machine Learning Engineer at Spotify, to discuss this process, and much, much more […] Read more »

A guide to machine learning Part 1: What's important

BY Eira Hayward on October 24, 2022 for Prioritised Members

Whether it’s in taxi and food-ordering apps, Spotify and Netflix recommendations, spam email filters, chatbots and virtual assistants, machine learning is all around us. In the first of a two-part series, we speak to some senior product people who live and breathe machine learning to find out what you need to know and where you should start. […] Read more »

How to build machine learning-based products

BY Olga Kuritsyna on May 26, 2022

In this article, written for product managers, data scientists, and engineering teams we cover some growth areas and ideas on how to achieve more impact while working on building ML-based products. […] Read more »

Machine learning in product discovery - Ha Phan on The Product Experience

BY The Product Experience on April 6, 2022

In this weeks’ podcast episode, we spoke with Ha Phan, Director of Discovery Products at Pluralsight, to develop a stronger understanding of how we can best use ML in product management. […] Read more »

Should you really be using machine learning?

BY Chris Wade on June 24, 2021

Used properly and in the right place, Machine Learning (ML) is an incredible tool to bring value to your product and your users. But how can you use the five product risks—value, usability, feasibility, viability, and ethics—to know if the opportunity is right for ML? […] Read more »

Designing for Cognitive Bias - David Dylan Thomas

BY The Product Experience on April 28, 2021

Monika Turska defines the job of a Product Manager as someone who helps make better decisions, faster. But making the right decisions—whether it’s the ones that we’re actively making, or the ones we’re empowering our algorithms to make—requires a real understanding of the environment they’re being made in. We asked Design for Cognitive Bias author, […] Read more »

Solving Ethical AI Problems, When Algorithms Go Wrong, and the Skills Needs To Work on AI Solutions: Insights From Kriti Sharma

BY Imogen Schels on December 3, 2020 for Prioritised Members

In our final AMA of the year, exclusively for Mind the Product members, Kriti Sharma, VP Product at GfK, shares her AI insights. Watch the session again for real-life examples from Kriti’s awesome back catalogue of AI work and learn about AI trends, tackling ethical AI questions as a product manager, the skills needed to […] Read more »

Machine Learning for Product Managers - A Quick Primer

BY Alexey Kutsenko on August 4, 2020

Currently, there are thousands of products, apps, and services driven by machine learning (ML) that we use every day. As was reported by Crunchbase, in 2019 there were 8,705 companies and startups that rely on this technology. According to PWC’s research, it’s predicted that ML and AI technologies will contribute about $15.7 trillion to global GDP by 2030. It’s obvious […] Read more »