Welcome back to Human-Coded, the podcast exploring the dynamic intersection of technology and people. In today’s episode, we dive into the foundational components of machine learning as part of our ongoing AI Roadmap series. Hosts Quinn Brewer, Leo Tomei, and Jay Mason break down the world of classification apps, prediction models, and computer vision.

From email spam filters to fraud detection and customer segmentation, we explore how classification apps transform industries. We also discuss predictive models that help businesses forecast outcomes and the powerful, futuristic applications of computer vision in manufacturing, autonomous vehicles, and more.

Along the way, we tackle the ethical implications of AI, including fairness, bias, and explainability, offering practical advice for business leaders looking to implement AI effectively. Whether you’re an AI enthusiast or a business leader curious about machine learning, this conversation is packed with insights to guide you through the transformative possibilities of AI.

Don’t miss this episode—it’s your gateway to understanding how AI can revolutionize your operations. If you have questions or want to connect with Jay or Leo, check out the links in the show notes.

Let’s explore the future together.

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An M&S Consulting Podcast