Come and join us for this wonderful AI meetup where we'll go through the great outcomes of implementing DevOps good practices to AI and we'll also go over some real-life use cases artificial intelligence brings to home automation business.
EVENT SCHEDULE
18:00 Doors open
18:15 Pizza and beer 
(Big thank you to Copernica for hosting us!)
18:45 Intro by Codemotion
19:00 Talk #1: What AI can learn from DevOps - a lesson on ML and Continuous Evaluation - Thiago de Faria (Head of Solutions Engineering @LINKIT | AI Engineer)
19:45 Talk #2: AI and Machine Learning for the connected home - Rik van der Vlist (Data Scientist at Quby)
20:30 Drinks and networking
Talk #1: What AI can learn from DevOps - a lesson on ML and Continuous Evaluation - Thiago de Faria
AI is the buzzword while ML is the underlying component... but when do we use ML? To solve problems that machines can find patterns without explicitly programming them to do so. But do you have a team building an ML model? How far are they from the IT team? Do they know how to deploy and serve that? Testing? And sharing what they have done? That's where a DevOps mindset comes in: reduce the batch size, continuous-everything and a culture of failure/experimentation are vital for your data team! In the end, I will show how the workflow of a data scientist can be on the real life with a live demo!
➡️ Talk #2: AI and Machine Learning for the connected home - Rik van der Vlist
Quby is a leading company offering data driven home services technology across European markets, known for creating the in-home display and smart thermostat Toon. 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, Rik 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 both physics-based and deep learning algorithms are used to detect household appliances from electricity meter data using Apache Spark. Furthermore, we will look at the possibilities for AI use cases for smart thermostats, and look in at the challenges faced when scaling up AI services to hundreds of thousands of end users.
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