Kate Minogue

Watch out for these three ways too much of a good thing can be dangerous Kate Minogue · Follow Published in Towards Data Science · 7 min read · 9 hours ago — Balance is important. Even in situations where we think we are following best-in-class wisdom we have to stay alert to the possibility we will push that wisdom beyond its objective and into extremes that deliver unintended consequences. If you are a business

How data professionals can increase the impact of their strongest asset Kate Minogue · Follow Published in Towards Data Science · 10 min read · 9 hours ago — Artificial intelligence, data science and analytics: these functions or data products tend to get the most airtime and attention when we think about whether our organisation is data-driven. A focus on sophistication and maturity goes hand-in-hand with assessing the newest technologies and approaches. As is the

Demystifying the term “accuracy” in Data Science and Artificial Intelligence Kate Minogue · Follow Published in Towards Data Science · 7 min read · Apr 16, 2024 — Accuracy is one of those words that everyone intuitively assumes they understand and that most people believe is always better when it is higher. With the rise in attention on Artificial Intelligence (AI) and the increasing awareness of lapses in reliability or accuracy of outputs, it is

This sophistication matrix can show you where you need to go Kate Minogue · Follow Published in Towards Data Science · 7 min read · 1 day ago — Every company today seems to be consumed with building an AI strategy. From sole traders to massive organisations, the question top of mind for the past 6 months has been — how can I use AI in my business? Often even before “Should I?” Luckily, with