Topic
Artificial Intelligence (AI) & Machine Learning (ML)
AI and ML are no longer just buzzwords or hypotheticals; they are now practical tools shaping the way modern products are built and experienced. At their core, these technologies are about enabling systems to learn from data and make decisions with minimal human intervention. For product managers, this means knowing when to leverage AI/ML to solve real problems, deliver more personalised experiences, and unlock smarter automation. A solid grasp of the fundamentals helps you work effectively with technical teams, identify impactful use cases, and ensure these solutions support your product strategy.
Data-driven time management for product managers
Product Lead, Julia Ryzhkova launched an initiative to analyze work calendars. Personally, she found out that she spent 1573 hours in meetings last year, with 70% initiated by herself. In this article, she shares her insights and tips on data-driven time management.
Julia Ryzhkova
Building products with trust and safety in the age of AI
Anuja More, Product Lead at Meta, shares insights on how product managers can build a secure environment for their user community. She draws from her experience building products with trust and safety in the age of AI
Anuja More
Product management in the age of AI: Friend or foe? It's complicated
AI has transformative power in product management for automation, personalization, and strategic insights. Adesanjo Matthew Olugbemi, Senior Product Manager at Gumtree, shares his learnings from exploring the potential of AI-powered solutions for content moderation and fraud detection at Gumtree.
Matthew Olugbemi
Product craft in the age of AI
With artificial intelligence now becoming human-like, Kraftful CEO Yana Welinder looks at how we should adapt to a future where AI surpasses human intelligence
Yana Welinder
Ethical AI in SaaS: A product manager's guide to responsible innovation
Pranav Khare, a seasoned product leader, explores the ethical complexities of integrating AI in SaaS products.
Pranav Khare
How to obtain Product- Market fit with AI
Darian Chavira, senior product manager at Rockwell Automation, outlines the power of data science in achieving product-market fit and how it can transform your product development strategy.
Darian Chavira
How to launch AI-powered products with Todd Olson (CEO of Pendo)
Join us on this week's podcast episode with Todd Olson, CEO and Co-Founder of Pendo. We discuss the key fundamentals of launching AI-powered products and how doing so can generate real outcomes for businesses and customers.
The Product Experience
The critical role of product managers in the world of AI: Cassie Kozyrkov (CEO, Data Scientific, Google)
In an exclusive interview at Web Summit, we sat down with Cassie Kozyrkov, the CEO at Data Scientific and Google's first Chief Decision Scientist, to delve into the world of data, artificial intelligence (AI), and the crucial role of product managers in navigating this ever-evolving landscape.
Louron Pratt
Bridging business, product, and AI at Shell: Amy Challen (Global Head of AI, Shell)
In a world filled with AI innovation, we caught up with Amy Challen, Global Head of AI at Shell, to hear about how the energy company has been embracing Generative AI.
Louron Pratt
Leverage AI to set perfect delivery expectations
Faulty order promising can cause a multitude of negative effects for businesses. Amritha Arun Babu Mysore, Product Leader at Amazon, and product expert, Ameya Deshpande contend that, with an informed approach, new AI technology can help businesses ensure customers are consistently satisfied with delivery expectations.
Ameya Deshpande
SUNDAY REWIND: How will ChatGPT change product management?
This week’s Sunday Rewind looks back to the start of 2023 and at what product people were saying about the impact of ChatGPT.
Eira Hayward
Deep dive: Engineering artificial intelligence for trust
From broad to narrow to broad: Trust in small things builds up trust in the whole solution — as long as the pieces fit together
Dainius Kniuksta