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.
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
A year in AI: Key product management insights in 2023
Louron Pratt
Meet your new intern! Five tips to manage ChatGPT
Robert Schlaff, Head of Technical Product Management at JP Morgan, sets out the ways to successfully harness the power of Large Language Models (LLMs) in the workplace.
Robert Schlaff
The product manager's playbook for AI/ML integration
Product lead Parv Sondhi explores the ways in which product managers can effectively integrate Artificial Intelligence (AI) and Machine Learning (ML) into products.
Parv Sondhi
The decisive role of AI-powered analytics in your product strategy
Advertorial: Most SaaS product teams are actively working on weaving AI-powered analytics into their products. Whether to create new features or entirely new data products, AI-powered analytics is top of mind, and rightfully so: today, it’s easier than ever to incorporate into applications. But before you do, let’s take a closer look at what analytics insights can do for your product, and pick the strategy, format, and tools to get the job done right.
Helen Shaughnessy
Image generation AI: A paradigm shift in creativity and governance
AI image generation provides creators with new and exciting capabilities but also raises some profound and critical ethical questions. Ameya Deshpande and Amritha Arun Babu look for a way forward that will harness its immense possibilities while also ensuring safety, transparency and responsible governance.
Amritha Arun Babu
A year with ChatGPT and product innovation: Navigating the AI landscape
Louron Pratt
How to keep your head about generative AI (when everyone is losing theirs) by Claire Woodcock
Jon Horvath
How to harness AI to stand out as a product manager
Steve Lourdessamy, Co-founder of Spheria.ai explores how to use AI to improve and grow as a product manager.
Steve Lourdessamy
Navigating the future: Key leadership insights from tech experts
Louron Pratt