Menu
From Pigeon Navigation to Pandata: A Chat with Hannah Arnson, Director of Data Science When Hannah Arnson was just a little girl, someone gave her the perfect gift. Her Fisher-Price® Micro Explorer Set™ featured a 30-power microscope, a specimen bottle,
4 Ways to Reduce Bias in AI Ever since the advent of the first computer, programmers have known that garbage in equals garbage out. In other words, the quality of what you enter into your machine determines the quality
Is Lack of Diversity in AI Costing Your Business? One day in 2019, the legal team at Facebook woke up to a lawsuit in their inboxes, filed by the U.S. Department of Housing and Urban Development. The charge? Facebook was
Journal of an AI Translator: A Marketer’s Journey Through the Land of AI Entry #3 – Unintended Consequences I recently got married, which got me thinking about unintended consequences. A wedding is a great example of where things that you
Identifying opportunities for AI is really the intersection of three things: data, decisions, and opportunity. In most cases you start with the data. Many organizations think of data assets as whatever they have in their database or their spreadsheets, but
Human-Centered AI: Why it Matters We talk a lot about human-centered Artificial Intelligence (AI), but what does that mean in application? It can mean different things depending on the purpose of the solution being created. Human-centered AI can mean creating
© 2024 All Rights Reserved • Privacy Policy
