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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
Recommender Systems Explained: The AI Responsible for Your Latest Netflix Binge This article is part of a series that sets out to demystify artificial intelligence and machine learning techniques that are common in everyday life, and in the news. At
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 Change Management Can Prepare Leaders for AI [Podcast Takeaways] Change can be scary. It’s a well-known adage, one whose longevity can be attributed to its accuracy—but it’s not an excuse. AI and its industry applications grow by the day.
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
Why Does AI Matter Now? 3 Factors Driving Recent Interest [Collision Takeaways] While the earliest forms of AI date back to the 1950s, the last decade has seen a marked increase in the popularity of artificial intelligence. And as AI
What Is Compute in AI? 3 Key Challenges In its simplest form, compute describes the manipulation of information; it’s used to organize and process data. Machines that use compute to perform tasks have three primary components: logic, memory, and interconnect.
Reliable KPIs for AI: How To Measure Success 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 in Regulated Industries
How Do I Monitor for Bias in AI? This post is part of a series that features answers to top AI questions, directly from our data scientists. Other posts in this series include: Data scientists, major organizations, and media outlets
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
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