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.

30 questions you should ask about DeepSeek

30 questions you should ask about DeepSeek

Jing Hu

DeepSeek AI launch: The view from product leaders

DeepSeek AI launch: The view from product leaders

Eira Hayward

Platform thinking in the age of Generative AI: A practical guide for Product Managers

Platform thinking in the age of Generative AI: A practical guide for Product Managers

Prerna Kaul

Figma and Lovable team up to increase no-code MVPs

Figma and Lovable team up to increase no-code MVPs

Louron Pratt

Synthesia becomes the UK’s largest AI product: Lessons for product teams

Synthesia becomes the UK’s largest AI product: Lessons for product teams

London-based AI startup Synthesia announced this week the successful close of its $180 million Series D funding round. The latest funding brings Synthesia’s total capital raised to over $330 million, valuing the company at $2.1 billion. Which has cemented its position as a leader in the Gen AI video space.

Louron Pratt

The AI feature checklist: 21 questions addressing familiarity, fallbacks, and feedback

The AI feature checklist: 21 questions addressing familiarity, fallbacks, and feedback

Lorian Leong, a principal product management consultant at EQT Partners AB, shares a quick checklist to guide the development process of AI feature.

Lorian Leong

AI ethics advice from former White House technologist – Kasia Chmielinski (Co-founder, The Data Nutrition Project)

AI ethics advice from former White House technologist – Kasia Chmielinski (Co-founder, The Data Nutrition Project)

The Product Experience

How to build AI products that users trust: 3 core focus areas to stay user-centric

How to build AI products that users trust: 3 core focus areas to stay user-centric

In this article, Lorian Leong, a principal product management consultant at EQT Partners AB, explores how to design AI features that prioritise user trust, transparency, and continuous feedback for better, more reliable interactions.

Lorian Leong

Generative UI for product managers: A new frontier

Generative UI for product managers: A new frontier

In this article, Lisa Murkin, Senior Product Manager at Elsewhen, explores how Generative UI can reshape product design with adaptive, user-focused interfaces, highlighting its potential and challenges.

Lisa Murkin

Perplexity lawsuit sends warning to product managers

Perplexity lawsuit sends warning to product managers

Eira Hayward

5 ways to invent and simplify as an AI/ML product manager

5 ways to invent and simplify as an AI/ML product manager

In this article, Product Leader, Prerna Kaul, shares how ‘Invent and Simplify’ principle accelerates impactful AI development. Prerna describes five key ways to leverage ‘Invent and Simplify’ to drive innovation, efficiency, and customer value.

Prerna Kaul

How Google makes AI work at Enterprise scale – Miku Jha (Director, AI/ML and Generative AI, Google Cloud)

How Google makes AI work at Enterprise scale – Miku Jha (Director, AI/ML and Generative AI, Google Cloud)

The Product Experience