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Where To Look for Legitimate Responsible AI Standards Until now, regulating AI design and development has largely been left up to individual interpretation. Organizations controlled the level of risk mitigation and ethical compliance involved with their ML models, and many
Your Guide to Trends Impacting Trustworthy AI [Podcast Takeaways] At this point, AI should be a familiar word, but what does trustworthy AI mean? At Pandata, our team understands the imperative need for trustworthy AI and we have made it
Author: Cal Al-Dhubaib / Originally posted to AI News If you ask ten different data practitioners to define AI, you’ll get ten different answers. In its simplest form, AI is software that recognizes and reacts to complex patterns—but the way
Machine Learning Consultant and Educator, Keith McCormick, Supports Pandata as Data Science Executive in Residence Driven by his passion for transparent Al, data science consulting, and ML education, Keith McCormick, joins the Pandata team as a data science executive in
Deep Space, Deep Learning, and Dungeons & Dragons: A Conversation With Nick Napier Before Nick Napier realized he wanted to use machine learning to optimize global travel, prevent mental health crises, and alleviate some of businesses’ biggest problems, he was
3 Industries Represented at AI & Big Data Expo [+How To Find Yours] The Pandata team recently gathered among hundreds of innovators in Santa Clara for the 2022 AI & Big Data Expo. As the premier event for data-interested professionals
Who Is Responsible for AI’s Mistakes? This post is part of a series that features answers to top AI questions, straight from our data scientists. To receive similar content to your inbox, subscribe to our monthly email digest. Strategizing, designing,
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
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
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