Uploaded October 2020 | Updated September 2026, 8 hours ago
By next year, surveys indicate that more than half of machine learning projects will remain undeployed due to the challenges of operationalizing AI. While most organizations are proficient in the ‘build’ and ‘train’ phases of the machine learning lifecycle, deploying and managing models in production persists as the biggest challenge faced by professionals in the field today. In this talk, Stony Apps co-founder and engineer Tony Teate discusses the shortcomings of existing deployment solutions, and proposes a unique alternative designed to save practitioners time and resources. By applying modern DevOps principles, he illustrates how to combine cloud-native applications with reusable client interfaces to construct an automated full-stack deployment pipeline. He then demonstrates the effectiveness of this solution by deploying a TensorFlow classification model to a mobile Android app in 5 minutes. Attendees will learn how this pipeline can be used to accelerate the deployment of their own models to customer-facing mobile applications.
By next year, surveys indicate that more than half of machine learning projects will remain undeployed due to the challenges of operationalizing AI. While most organizations are proficient in the ‘build’ and ‘train’ phases of the machine learning lifecycle, deploying and managing models in production persists as the biggest challenge faced by professionals in the field today. In this talk, Stony Apps co-founder and engineer Tony Teate discusses the shortcomings of existing deployment solutions, and proposes a unique alternative designed to save practitioners time and resources. By applying modern DevOps principles, he illustrates how to combine cloud-native applications with reusable client interfaces to construct an automated full-stack deployment pipeline. He then demonstrates the effectiveness of this solution by deploying a TensorFlow classification model to a mobile Android app in 5 minutes. Attendees will learn how this pipeline can be used to accelerate the deployment of their own models to customer-facing mobile applications.
![Is There Life After Death? moderated by John Cleese - 2018 Tom Tom Fest [CLIP w/ Bruce Greyson]](https://i.ytimg.com/vi/jDH7Yn6ZqgQ/mqdefault.jpg "Is There Life After Death? moderated by John Cleese - 2018 Tom Tom Fest [CLIP w/ Bruce Greyson]
Neurobehavioral Scientist Bruce Greyson, M.D. describes the analogous recollections of those who’ve had Near Death Experiences (NDEs). Most commonly reported are heightened mental abilities, accurate perceptions from outside the body, and meetings with the deceased.")
