Data is the new gold! A phrase you might have heard in some discussion or presentation you have attended. Our economies are indeed more data-driven, and decisions are made on data. Data that in many cases, originate from observations, i.e. monitoring. For instance, tollgates monitor passing cars, websites can monitor traffic, and the camera’s in machines monitor assembly of products.
In the talk, I like to explain what Artificial Intelligence, Machine Learning, Integration, and Monitoring is from an Azure perspective.
Furthermore, AI/ML is trending, and integration and monitoring are standard for integrators what will it mean for them once they onboard on a project with an AI/ML component – I like to provide my vision on that!
Lastly, I will share my experience with Artificial Intelligence, Machine Learning, Integration, and Monitoring by going through some real-world use-cases. While I am not a data-scientist as an integrator I have a role and responsibility in ML/AI related projects that require data from different places.
The general message from the talk: There is a relation between the monitoring, ingestion of data, and use for machine learning or artificial intelligence purposes.
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