Artificial Intelligence (AI) & Machine Learning (ML)
LATEST POSTS
How behavior analytics can help with your product path
The key to understanding your customers is behavior analytics. By collecting data on your customers, you can more easily plot the path your product needs to take and can ensure success by building greater demand for your product launch. Here’s how you can master this skill to aid your product path. […] Read more »
Metrics don't have all the answers: a human-centered approach to business strategy by Samihah Azim
In this #mtpcon Digital Americas session, Samihah Azim, Product Designer at Cash App, explains the importance of taking a more human-centred approach to business strategy. […] Read more »
How product managers should use competitive intelligence before launching a product
Gaining a competitive advantage in the market is a huge challenge for relatively new SaaS businesses. Before you make any product-driven decision prior to the launching, consider reading this article about using competitive intelligence. […] Read more »
How to build machine learning-based products
In this article, written for product managers, data scientists, and engineering teams we cover some growth areas and ideas on how to achieve more impact while working on building ML-based products. […] Read more »
SUNDAY REWIND: How calm technology can help us be more human by Amber Case
In this Sunday Rewind episode, we look back to when Amber Case, Cyborg Anthropologist spoke at #mtpcon London. In her talk, she discusses the concept of Calm Technology and how it can help us to be more human during a technological age. […] Read more »
Should you really be using machine learning?
Used properly and in the right place, Machine Learning (ML) is an incredible tool to bring value to your product and your users. But how can you use the five product risks—value, usability, feasibility, viability, and ethics—to know if the opportunity is right for ML? […] Read more »
Solving Ethical AI Problems, When Algorithms Go Wrong, and the Skills Needs To Work on AI Solutions: Insights From Kriti Sharma
In our final AMA of the year, exclusively for Mind the Product members, Kriti Sharma, VP Product at GfK, shares her AI insights. Watch the session again for real-life examples from Kriti’s awesome back catalogue of AI work and learn about AI trends, tackling ethical AI questions as a product manager, the skills needed to […] Read more »
Machine Learning for Product Managers - A Quick Primer
Currently, there are thousands of products, apps, and services driven by machine learning (ML) that we use every day. As was reported by Crunchbase, in 2019 there were 8,705 companies and startups that rely on this technology. According to PWC’s research, it’s predicted that ML and AI technologies will contribute about $15.7 trillion to global GDP by 2030. It’s obvious […] Read more »
Cracking The Data Code - Mike Bugembe on The Product Experience
W. Edwards Deming wrote, “In God we trust, all others must bring data.” Product people hold on to this as a mantra – how else can we defend ourselves from random requests? – but we’re not always taught how best to use data. In this week’s episode, Lens.ai founder Mike Bugembe joins us on the […] Read more »
How AI Is Changing The Product Management Job Description by Mayukh Bhaowal
In this MTP Engage Manchester talk, Mayukh Bhaowal, Director of Product Management at Salesforce Einstein, takes us through how product managers must adjust in the era of artificial intelligence and what they must do to build successful AI products. Mayukh outlines five new skillsets that product managers must acquire. Problem Mapping Data is the New UI […] Read more »