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How To Cultivate a Responsible Machine Learning Culture in Your Organization Even though we’ve come a long way in improving the accuracy and integrity of AI, it’s still far from perfect. If no one is responsible for your AI, how
What is Anomaly Detection? And How Can It Be Used in Your Trusted AI Project? Anomaly detection, also called outlier analysis, refers to uncovering and analyzing anything in a dataset that deviates from the norm. Anything that falls outside of
Chris Brace has always had a passion for the unknown. From a young age, he found himself creating his own instructions for moving toys, class assignments, and everything in between. His curiosity led him to his role as an Associate
6 Key Players That Should Be Involved in Every AI Decision If you want to develop a Trusted AI solution that solves a business challenge, you need human input. Or, to be more precise, you need human input from a
How to Identify AI Communication Gaps and Avoid Project Failure [ODSC West Insights] 12% of AI projects actually reach production and yield business results. Why is that? The landscape of AI has exploded in complexity and as a result, the
Artificial Intelligence vs. Machine Learning vs. Deep Learning: What’s the Difference? What is the difference between artificial intelligence, machine learning, and deep learning? How are they different? How are they similar? There are a slew of terms and jargon within
Pandata’s Proactive Approach to Trusted AI At Pandata, we advocate for Trusted AI that is approachable and ethical. This means acknowledging that sometimes there is no right answer but because we have a duty to safeguard others from unintended consequences,
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
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