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Product Managers Discover Older Customers

The Accidental Product Manager

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.

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How to Become an AI Product Manager Without Experience

The Product HQ

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.

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Product Managers Prepare To Battle For The Inside Of Your Car

The Accidental Product Manager

However, even as you read this, product managers are scrambling to try to win over this one last remaining unclaimed screen. Some product managers envision a world where users could start watching a TV show at home, then with a voice command continue watching the same program in the car.

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5 Machine Learning Lessons for Product Managers

Mind the Product

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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Digital Sustainability: A Growing Frontier in Software Development

The Product Coalition

I would like to thank Tremis Skeete, Executive Editor of Product Coalition, for his valuable contributions to this article's research, development, and writing. I also thank Product Coalition founder Jay Stansell, who has provided a collaborative product management education environment.

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14 Data Analytics Trends for 2024: What You Can’t Ignore

Userpilot

So what are the trends in the data analytics landscape that are actually important for product management ? Decision intelligence : Combines data science with decision theory for improved data-driven decisions, enhancing product development, business intelligence, and marketing strategies. Source: Gartner.