Big Data
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Why Machine Learning Products Should be Managed Differently
Machine learning (ML) based products have particular characteristics and challenges, from data quality to counterfactual problems and explainability. What then are the implications of ML products for team structure, focus, and hiring? Data science jobs are increasing at around 30% year on year, and if you don’t already have a data scientist in your ranks Read more »
Ground Rules for Applying AI to Product Management
The hype around artificial intelligence (AI) and machine learning has led to lots of jargon, so that this very powerful technique has become more difficult to understand. The tips below have all helped me, so I hope this article will help product managers to cut through the noise and better understand how AI can fit Read more »
Product Management and the Internet of Things
April’s ProductTank London considered the question of how to manage devices in an increasingly interconnected world. Marc Abraham (@MAA1) brought us three great speakers to share their experience of the Internet of Things (IoT), product management and connected devices: Usman Haque (@uah) from Umbrellium; Yodit Stanton (@yoditstanton) from Opensensors.IO; and Patrick Bergel (@goodmachine) from Animal Read more »
Presenting Data—The Rabbit Hole Method
Being a product manager in a data startup offers some interesting challenges. As more and more PMs work for data startups understanding these challenges will help PMs survive the strange world of data. There are two challenges that product managers in data startups face: Translating customer problems into analysis Presentation of data to customers Translation Read more »