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AI is Changing How Product Managers Learn For the Better

Product Management University

In a similar fashion, AI is changing how product managers learn best practices, and it will all be for the better when you see the results. Common Scenarios Before & After AI Here are a few common product management scenarios that exemplify the stark difference between learning best practices before and with AI.

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AI and Product Strategy

Roman Pichler

Customer Insights and Idea Generation AI tools can analyse market data, customer feedback, and emerging trends to suggest new products and features, assuming that enough relevant data is available. For example, you can use an AI tool to analyse support tickets to discover and address common issues.

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529: Is this the best AI-powered market research approach? – with Carmel Dibner

Product Innovation Educators

How AI captures customer needs that human product managers miss Watch on YouTube TLDR In my recent conversation with Carmel Dibner from Applied Marketing Science, we explored how artificial intelligence is transforming Voice of the Customer (VOC) research for product teams.

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Top Product Manager Roles at Data-Driven Companies (+Candidate Spotlight)

Userpilot

Thats why Ive curated a list of three top product manager openings at data-driven companies, along with standout candidates who are ready to make an impact. Recommended product manager job openings in data-driven companies Looking for a job in data-driven product management ? Meta Manager, Product Data Operations Meta office.

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From 0 to UI in 60 seconds (sort of)

UX Planet

Each clarification or request created a fresh canvas instance, which helped with versioning but also made it a bit harder to manage continuity. That made micro iterations like changing copy, layouts, or page logic fast and manageable. Use generative AI design tools to spin up rough concepts you can socialize for quick feedback.

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8 AI trends that will define product development in 2025 & beyond

Modus Create

Generative AI will find practical niches, automating repetitive tasks and scaffolding prototypes. Agentic AI systems will become mainstream In the next three years, software development will increasingly focus on building agentic AI systems designed to autonomously take action, be collaborative, and adapt to achieve some goal.

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Are you ready to transform life sciences with intelligent apps? Five questions to help kickstart your AI journey

Modus Create

If your goal is to predict outcomes based on existing data, like patient readmission risk, traditional, discriminative AI modeling is likely the best tool for the job. AI can be a tool to increase employee productivity, cutting out tedious, repetitive tasks in favor of more strategic functions best performed by humans.