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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
Pandata Launches New Partnership with Carlin Jackson of Theo. Wyes David, Ltd. With an extensive technological background and passion for operations and strategy, Carlin Jackson of Theo. Wyes David, Ltd., has joined Pandata as Director of Partnerships. Carlin is confident
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
How To Solve Problems With AI [theCUBE Interview] What is trustworthy AI? How are companies using AI? What are some of the top concerns about AI and privacy today? Pandata CEO and AI Strategist, Cal Al-Dhubaib, recently joined Jonathan Seckler
Is AI Really Surveillance? [Insight From Collision Conference] When you hear the word “surveillance” what comes to mind? You might be thinking about hidden cameras, tracking website history, public health monitoring, or a military operation. It’s often construed as invasive
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
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
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