https://cms.megaphone.fm/channel/NPTNI1774863718 en Copyright 2026 Inception Point AI Host Ryan Cole breaks open the black box of AI models to explore how they're built from raw data, trained to perform, and deployed across industries that touch our daily lives. Each episode reveals the engineering decisions, trade-offs, and real-world stakes behind the intelligence powering modern technology. For more content like this, visit QuietPlease.ai This content was created in partnership and with the help of Artificial Intelligence AI. https://megaphone.imgix.net/podcasts/7a85b490-4da7-11f1-83bc-9b1290f1f957/image/a654ee5e733e84b2cfcf7782d09b6150.jpg?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress https://cms.megaphone.fm/channel/NPTNI1774863718 no episodic Inception Point AI Host Ryan Cole breaks open the black box of AI models to explore how they're built from raw data, trained to perform, and deployed across industries that touch our daily lives. Each episode reveals the engineering decisions, trade-offs, and real-world stakes behind the intelligence powering modern technology. For more content like this, visit QuietPlease.ai This content was created in partnership and with the help of Artificial Intelligence AI. Quiet. Please info@inceptionpoint.ai https://player.megaphone.fm/NPTNI9758205365 Join host Ryan Cole as he demystifies the hidden algorithms shaping your daily life—from app recommendations to high-stakes industry decisions. Model takes you inside the journey from raw data to predictive systems, exploring how machine learning models are built, deployed, and sometimes fail spectacularly. Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTV This content was created in partnership and with the help of Artificial Intelligence AI. Wed, 01 Apr 2026 21:49:17 -0000 trailer Inception Point AI Join host Ryan Cole as he demystifies the hidden algorithms shaping your daily life—from app recommendations to high-stakes industry decisions. Model takes you inside the journey from raw data to predictive systems, exploring how machine learning models are built, deployed, and sometimes fail spectacularly. Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTV This content was created in partnership and with the help of Artificial Intelligence AI. 40 https://player.megaphone.fm/NPTNI9008562153 Ryan Cole explores what happens after AI models leave the lab and enter the real world—where drift, retraining, and continuous monitoring separate systems that work from those that work well. From fraud detection to factory floors to personalized shopping, he examines the infrastructure, pitfalls, and discipline required to keep intelligence operational when reality refuses to hold still. Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTV This content was created in partnership and with the help of Artificial Intelligence AI. Wed, 01 Apr 2026 21:49:15 -0000 full Inception Point AI Ryan Cole explores what happens after AI models leave the lab and enter the real world—where drift, retraining, and continuous monitoring separate systems that work from those that work well. From fraud detection to factory floors to personalized shopping, he examines the infrastructure, pitfalls, and discipline required to keep intelligence operational when reality refuses to hold still. Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTV This content was created in partnership and with the help of Artificial Intelligence AI. 1643 https://player.megaphone.fm/NPTNI5946190204 Ryan Cole examines the critical gap between training AI models and deploying them in production, exploring real-time versus batch inference, edge deployment, MLOps pipelines, shadow testing, and rollback strategies. He breaks down why organizations with brilliant models often fail at deployment—and what separates reliable AI systems from those that collapse under real-world conditions. Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTV This content was created in partnership and with the help of Artificial Intelligence AI. Wed, 01 Apr 2026 21:49:11 -0000 full Inception Point AI Ryan Cole examines the critical gap between training AI models and deploying them in production, exploring real-time versus batch inference, edge deployment, MLOps pipelines, shadow testing, and rollback strategies. He breaks down why organizations with brilliant models often fail at deployment—and what separates reliable AI systems from those that collapse under real-world conditions. Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTV This content was created in partnership and with the help of Artificial Intelligence AI. 1783 https://player.megaphone.fm/NPTNI4274984805 Ryan Cole examines the critical gap between training AI models and deploying them in production, exploring real-time versus batch inference, edge deployment, MLOps pipelines, shadow testing, and rollback strategies. He breaks down why organizations with brilliant models often fail at deployment—and what separates reliable AI systems from those that collapse under real-world conditions. Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTV This content was created in partnership and with the help of Artificial Intelligence AI. Wed, 01 Apr 2026 21:30:36 -0000 full Inception Point AI Ryan Cole examines the critical gap between training AI models and deploying them in production, exploring real-time versus batch inference, edge deployment, MLOps pipelines, shadow testing, and rollback strategies. He breaks down why organizations with brilliant models often fail at deployment—and what separates reliable AI systems from those that collapse under real-world conditions. Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTV This content was created in partnership and with the help of Artificial Intelligence AI. 1783 https://player.megaphone.fm/NPTNI3572408167 Ryan Cole breaks down the real mechanics of AI model training—backpropagation, gradient descent, transfer learning, and cross-validation—revealing how raw data becomes intelligent systems. From data cleaning's critical role to ensemble methods and evaluation metrics, discover the iterative, messy reality behind machine learning. Learn why building models is easy, but building them responsibly is hard. Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTV This content was created in partnership and with the help of Artificial Intelligence AI. Wed, 01 Apr 2026 21:30:31 -0000 full Inception Point AI Ryan Cole breaks down the real mechanics of AI model training—backpropagation, gradient descent, transfer learning, and cross-validation—revealing how raw data becomes intelligent systems. From data cleaning's critical role to ensemble methods and evaluation metrics, discover the iterative, messy reality behind machine learning. Learn why building models is easy, but building them responsibly is hard. Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTV This content was created in partnership and with the help of Artificial Intelligence AI. 1437