Why Trusted AI Has to Matter in the Healthcare Industry Over the last few years, healthcare providers have increasingly offered telehealth appointments, managed digital transfers of medical records, and encouraged patients to take a more active role in monitoring their
Transforming Data into Actionable Intelligence in Regulated Industries In the first of a series of fireside chats between Bo Howell, CEO of Joot and owner of FinTech Law, and Cal Al-Dhubaib, CEO of Pandata, the two discuss managing data and
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
How to Identify AI Communication Gaps and Avoid Project Failure [ODSC West Insights] Only 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,
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,
3 Sessions on Responsible AI You Won’t Want to Miss At ODSC West 2021 The first-ever hybrid Open Data Science Conference (ODSC) West event is next week and our team can’t wait to join hundreds of other data scientists to
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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