What Can I Expect From the Future of Machine Learning? Machine learning has come a long way since the 1952 introduction of the first computer learning program. In 1980, data scientists created Explanation Based Learning, where a computer could create
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,
3 Tips for Setting and Managing Realistic Expectations for AI Projects This post is part of a series designed to help AI-interested regulated industry leaders overcome challenges to successful AI design. For more information, download Top Challenges to Designing AI
Can AI Generate Humor? [+How Business Leaders Can Learn From It] We all know a bad joke when we hear one. Sometimes one person’s bad joke is another person’s knee slapper. “If the mushroom was such a fungi, why didn’t
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
Exploring the Art of AI with Associate Data Science Consultant Niki Agrawal Niki Agrawal’s passion for inspiring creativity with the scientific method led her to her career as an Associate Data Science Consultant with Pandata. Read on to learn more
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
4 ways small businesses can create workplace satisfaction and attract talent (even during remote work) Originally featured in COSE’s Mind Your Business – Jan 3, 2022 As a small but growing organization, we made it a priority to be creative
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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