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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
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
4 Steps to Building an AI-First Company that Stands Out Artificial intelligence is a differentiator for many businesses. For now. When used right, AI can help companies make decisions on unique products and services, optimize systems and processes, improve quality,
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
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
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