2030 Development Product Management Product Manager 
The Accidental Product Manager
FEBRUARY 5, 2024
If this is the case, what you have done to make it easy for them to use your product? If the answer is “nothing”, then you are like many other product managers who have not taken the time to study their customers and customize their products for their unique needs.
Mind the Product
AUGUST 4, 2020
trillion to global GDP by 2030. The post Machine Learning for Product Managers – A Quick Primer appeared first on Mind the Product. As was reported by Crunchbase, in 2019 there were 8,705 companies and startups that rely on this technology. It’s obvious [.].
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BrainMates
FEBRUARY 11, 2019
If you’re energised by complex problems of product, AI, machine learning, privacy and data, then the next decade of product management is going to be the most interesting yet. I’ve left Pausefest 2019 inspired about the next wave of products and how we Product people can keep our minds open and our tool-belts relevant.
The Product HQ
MAY 10, 2024
Want to become an AI product manager? This guide shows you how to prepare for a career in AI product management. Today, more and more businesses are looking for product managers specializing in artificial intelligence and machine learning technologies. If so, then you’ve come to the right place.
The Product Coalition
JANUARY 27, 2024
Software development with sustainability in mind is a rising trend in digital spaces. I would like to thank Tremis Skeete, Executive Editor of Product Coalition, for his valuable contributions to this article's research, development, and writing. Let’s explore how and why this matters.
The Accidental Product Manager
JUNE 19, 2023
However, even as you read this, product managers are scrambling to try to win over this one last remaining unclaimed screen. Alternatively, GM has developed an in-dash system that includes a commerce platform where users can pre-order from Dunkin’ Donuts or Starbucks. Which screen is this you ask?
Mind the Product
AUGUST 19, 2019
What does it mean for us as product managers? We all use AI or machine learning (ML)-driven products almost every day, and the number of these products will be growing exponentially over the next couple of years. By 2030, it is expected to contribute $15.7 What does it mean for us as product managers?
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