Product Management in the Age of AI
Mike Donoghue is a member of a multinational information technology corporation where he collaborates on the communications guidelines and customer relationship strategies affecting the interactions with internal and external clients. He has analyzed, defined, designed and overseen processes for various engagements including product usability and customer satisfaction, best practice enterprise standardization, relationship/branding structures, and distribution effectiveness and direction. He has also established corporate library solutions to provide frameworks for sales, marketing, training, and support divisions.
There was a time not so long ago when being a product manager meant you had to juggle road maps, customer feedback, and stakeholder demands while trying not to have a nervous breakdown in front of the engineering team. With the addition of artificial intelligence however, there are now product teams finding it necessary to welcome this new and sometimes perplexing member to the group.
With the introduction of AI, the field of product management has not gotten simpler. Instead, it has gotten smarter, faster and a little “different” than what we used to know. Features are still being built into the products, but you are also fine-tuning models, explaining neural nets to marketing, and wondering why your application chatbots keep giving “helpful” solutions that are not really helpful at all.
What could it mean to be a product manager in this brave and slightly confusing new world?
AI: Brilliant and Unpredictable
If you have had a close working relationship with developers, you know they can be a mysterious bunch. But if you think they are puzzling, try working with a machine learning model.
AI can be a powerful ally—but it does require a new kind of product thinking. It is not just about defining unchanging features, it is also about managing evolving behaviors. As it develops, you will observe that you are not only launching a product, …
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