This is a meetup group for all people that have a passion for development, everyone is welcome! From HTML/CSS, Java to C C++/Engineers and from Swift tot .NET.
All skill levels are welcome. At each meetup, a speaker on a trending topic starts with sharing the latest insights, after which the floor is yours for discussion. All with the purpose to keep each other up to date on the latest development trends. We'll organise Meetups (almost) every month at venues in or around Amsterdam. Location, speakers, food and drinks will be arranged by Spilberg IT Dev Careers (https://www.spilberg.nl/). The topic and the quality of discussion is up to you! Is there any specific topic or a speaker you would like to see at the next Meetup? Do you want to share your insights on a (trending) topic yourself? Let us know!
In Collaboration with Visser & van Baars (https://www.visservanbaars.nl), we want to invite you to share your experience and questions about Microservices Architecture and Machine Learning/AI.
18:30 Doors open + 🍔🍔🍔
19:00 Speaker 1
20:00 Speaker 2
20:45 End + drinks
Microservices Architecture and Machine Learning/AI are two popular topics nowadays. So how can we place ML models into Microservices Architecture?
Each service in Microservices Architecture can expose APIs to serve its consumers. API development is a separate expertise and can be challenging for Data Scientists as well as Data Engineers. Often companies hire Data Scientists to analyze data and build ML models. They also hire Data Engineers to set up data infrastructure for efficiently collecting, processing and storing data pipelines. After setting up the data infrastructure and building models next step is to industrialize those models. There are several different ways of industrialization. A model could be deployed in a batch mode to do one off predictions or can be integrated into streaming applications to do continuous near real-time predictions. Another way to industrialize is deploying ML models as an API for on-demand predictions. In this demo presentation we will talk about industrialization of ML models in general and show you how you can build an API to expose your model.
More info about the speakers are coming soon!