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Machine Learning for Product Managers – A Quick Primer

Mind the Product

Currently, there are thousands of products, apps, and services driven by machine learning (ML) that we use every day. trillion to global GDP by 2030. The post Machine Learning for Product Managers – A Quick Primer appeared first on Mind the Product. It’s obvious [.].

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5 Machine Learning Lessons for Product Managers

Mind the Product

Artificial intelligence (AI) is probably the biggest commercial opportunity in today’s economy. 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.

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Pausefest 2019 points to Product Management 2030

BrainMates

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. Beyond 2030, food will be provided based on our individual physiological needs. Beyond ‘Product Fit’ to ‘Fairness’.

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Which Industry Is Right for You: What Product Managers Need To Know

The Product Coalition

Based on Zippia , (using a database of 30 million product managers (PM) within the US) 26% of all product managers work in a Fortune 500 (F500) company. I believe a PM should try to get as close as possible to the innovations of new “AI technology,” including the technicalities and applications of machine learning.

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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 ? Natural language processing : NLP revolutionizes customer sentiment analysis and communication by processing human language, improving internal and external interactions and content discoverability.