AI - AIaaS

AI is at the center of modern application development as it allows for easy ways to automated traditional human tasks like classifications (question -> answer).

Architectural Decisions

1. I focus on the application of machine learning instead of theory.

2. I get started with a AWS specific stack instead of a general technology stack.

Business Rules vs Trained Models

Learn about AI:

• AI/ML mit Python auf http://udacaity.com

https://aws.amazon.com/blogs/big-data/build-a-data-lake-foundation-with-aws-glue-and-amazon-s3/

https://www.coursera.org/learn/ai/lecture/DnRJg/convolutional-neural-networks

NodeRED Docker: https://hub.docker.com/r/nodered/node-red-docker/

https://developer.ibm.com/sso/postlogin?lang=en_US&d=https%3A%2F%2Fwww.ibm.com%2Fdeveloperworks%2Fanalytics%2Flibrary%2Fiot-deep-learning-anomaly-detection-2%2Findex.html%3Fca%3Ddrs-

Model Sources: https://modeldepot.io

• Five Minutes from Machine Learning to RESTful API https://jobs.zalando.com/tech/blog/connexion-zalando-open-source/