Artificial intelligence (AI)

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 »

In this #mtpcon SF+Americas keynote, Cynthia Yeung, Head of Product at Plus One Robotics, gets us thinking about human/robot interaction and how we might discover a deeper understanding of our own humanity through robotics and AI. […] Read more »

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 »

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 »

In this case study, Dmytro Prosyanko, Product Manager at McKinsey & Company, Dr. Andrew Pike, Data Scientist, and Danylo Pavliuk, Product Designer at Temper, discuss why effective collaboration between product, data science, and design is crucial for successfully developing next-gen smart tech products. Overview The focus of this case study, co-authored by all three of […] Read more »

W. Edwards Deming wrote, “In God we trust, all others must bring data.”  Product people hold on to this as a mantra – how else can we defend ourselves from random requests? – but we’re not always taught how best to use data.  In this week’s episode, Lens.ai founder Mike Bugembe joins us on the […] Read more »

In this MTP Engage Manchester talk, Mayukh Bhaowal, Director of Product Management at Salesforce Einstein, takes us through how product managers must adjust in the era of artificial intelligence and what they must do to build successful AI products. Mayukh outlines five new skillsets that product managers must acquire. Problem Mapping Data is the New UI […] Read more »

The hype around artificial intelligence (AI) and machine learning has led to lots of jargon, so that this very powerful technique has become more difficult to understand. The tips below have all helped me, so I hope this article will help product managers to cut through the noise and better understand how AI can fit […] 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 »

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 »