Remove Artificial Inteligence Remove Data Visualization Remove Technical Review
article thumbnail

519: Product verification, most important of the 19 activities of product management – with Nishant Parikh

Product Innovation Educators

Drawing from his 20+ years of technology experience and extensive research, Nishant shared insights about how these activities vary across different organizational contexts – from startups to enterprises, B2B to B2C, and Agile to Waterfall environments.

article thumbnail

529: Is this the best AI-powered market research approach? – with Carmel Dibner

Product Innovation Educators

How AI captures customer needs that human product managers miss Watch on YouTube TLDR In my recent conversation with Carmel Dibner from Applied Marketing Science, we explored how artificial intelligence is transforming Voice of the Customer (VOC) research for product teams. However, these early efforts faced significant limitations.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Effective customer engagement is business critical – insights from Harvard Business Review Analytic Services

Intercom, Inc.

New research from Harvard Business Review Analytic Services reveals that businesses of all sizes – from small businesses to enterprises – are realizing the business value of personal, efficient customer engagement. Below, we take a deeper dive into the report’s key data and trends. But they’re facing big barriers.

article thumbnail

462: Using qualitative data to drive product management prioritizations – with Daniel Erickson

Product Innovation Educators

How product managers can use AI to get more actionable insights from qualitative data Today we are talking about using qualitative data to drive our work in product and consequently improve sales. Before founding Viable, he held senior leadership roles in engineering, technology, and product.

article thumbnail

Why Machine Learning Products Should be Managed Differently

Mind the Product

Machine learning (ML) based products have particular characteristics and challenges, from data quality to counterfactual problems and explainability. Data science jobs are increasing at around 30% year on year , and if you don’t already have a data scientist in your ranks there’s a good chance you will soon.

article thumbnail

510: How to use these AI tools to create a product brief – with Brian Collard

Product Innovation Educators

How product managers can use AI to work more efficiently Watch on YouTube [link] TLDR AI is changing how we manage products and come up with new ideas, giving us new tools to work faster and be more creative. The future of product management will involve using more AI tools, like advanced language models and creating fake data for testing.

article thumbnail

No 16. Some AI Learning Resources & Insights

UX Planet

Since joining Microsofts AI team last year, Ive found myself diving headfirst into the world of artificial intelligence. In just six months, I transitioned from being a complete beginner to confidently speaking at conferences, sharing insights about AI and its impact on business and design.