Artificial intelligence (AI)
Artificial intelligence (AI) is where we see the simulation of human intelligence in machines programmed to think like humans. To stay competitive, it’s important for product managers to understand AI, how it can be used to solve problems, as well as the challenges it brings.
LATEST POSTS
How will ChatGPT change product management?
We look at the likely impact of the latest AI bot ChatGPT on product work and find out how product people are using it So… chatbot software ChatGPT. Have you played with it? Looked at how you might use it in your product? Do you welcome it or worry about its impact on the work Read more »
A gentle introduction to AI in product by Rand Hindi
In the closing keynote session at #mtpcon London 2022, Rand Hindi, CEO at Zama, takes us through the history of AI, looks at what it can do for society today and asks what we must do to prevent its misuse. Read more »
A guide to machine learning Part 2: Set yourself up for success
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 »
Robotics and society by Cynthia Yeung
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 »
Solving Ethical AI Problems, When Algorithms Go Wrong, and the Skills Needs To Work on AI Solutions: Insights From Kriti Sharma
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
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 »
Helping a Machine to Distinguish Toilet Flush From Kitchen tap: a Case Study
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 »
Cracking The Data Code - Mike Bugembe on The Product Experience
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 »
How AI Is Changing The Product Management Job Description by Mayukh Bhaowal
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 »
Ground Rules for Applying AI to Product Management
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 »