AI and Machine Learning for the Connected Home - Databricks

AI and Machine Learning for the Connected Home

Download Slides

Quby is the creator and provider of Toon, a leading European smart home platform. We enable Toon users to control and monitor their homes using both an in-home display and app. As a data driven company, we use AI and machine learning to generate actionable insights for our end users. Using the data we collect via our IoT devices we have introduced multiple data driven services, including an energy waste checker and a boiler monitoring service. In this talk, Stephen will describe how AI and machine learning are implemented on the Toon platform, and will show multiple AI use cases relating to the connected home. We’ll take a look at how Deep Learning algorithms are used to detect inefficient appliances from electricity meter data and how streaming algorithms allow users to be alerted to anomalies with their heating systems in near real-time. Stephen will share the experiences from the Data Science and Data Engineering teams at Quby with bringing data science algorithms from R&D to production and the lessons learned in offering multiple data driven services to hundreds of thousands of users on a daily basis.

Session hashtag: #SAISAI4



« back
About Stephen Galsworthy

Stephen Galsworthy is the Head of Data Science at Quby, the creator and provider of Toon, a leading European smart home platform. In this role, he is responsible for the development of data driven services for residential customers and partners such as utilities and insurance providers. Stephen holds both a Master’s degree and Ph.D. in Mathematics from Oxford University and has been leading Data Science teams since 2011.