Unlocking the Power of Large Language Models Large Language Models, commonly abbreviated as LLMs, have recently been top-of-mind for the AI open-source community, non-technical consumers, as well as organizations looking to implement their own models into production. Today we will
Estée Lauder’s Journey to Building Its Own Ethical AI Practice This article is part of a series featuring big brands that are building responsible AI solutions to solve real problems—and what we can learn from them. To receive more trustworthy
Healthcare Startup Uses ML to Predict Missing Patient Data At Thrivable, a market research platform that connect patients and healthcare companies to create better products and services, quality data is at the foundation of all business operations. Yet over the
AI Strategist Cal Al-Dhubaib Recognized as 2022 Notable Executive in Technology AI Strategist and Pandata CEO Cal Al-Dhubaib recently received the Notable Executive in Technology recognition from Crain’s Cleveland for 2022. The Notable Executives in Technology that were chosen this
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
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,
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
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