Automated

Join Ryan Cole as he explores invisible systems powering modern technology—self-tuning databases, autonomous workflows, and infrastructure that scales without human intervention. Discover how machines are closing the gap between action and reaction, and the critical questions we should be asking.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/@DIYHOMEGARDENTVThis content was created in partnership and with the help of Artificial Intelligence AIThis episode includes AI-generated content.

Ryan Cole explores why eliminating all friction from automated systems might be dangerous, examining "positive friction" — strategic checkpoints that improve accuracy without slowing workflows. He argues the fastest systems aren't frictionless, but deliberately frictioned at critical moments where errors would cascade catastrophically through autonomous pipelines.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/@DIYHOMEGARDENTVThis content was created in partnership and with the help of Artificial Intelligence AIThis episode includes AI-generated content.

Ryan Cole explores how the real cost of business is dead space between action and reaction. Using BrainPOP's platform transformation and lead response failures, he argues automation should eliminate workflow gaps, not just speed them up. As AI capabilities double every seven months, organizations must operate at machine speed or risk falling behind.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/@DIYHOMEGARDENTVThis content was created in partnership and with the help of Artificial Intelligence AIThis episode includes AI-generated content.

Ryan Cole explores how databases now optimize themselves using machine learning, eliminating the traditional seven-year manual tuning process. He covers Amazon's Learned Systems Group, automated materialized views in Redshift, and why self-tuning databases represent the final automation frontier in backend infrastructure.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/@DIYHOMEGARDENTVThis content was created in partnership and with the help of Artificial Intelligence AIThis episode includes AI-generated content.