Kafka Summit is an event that we couldn’t miss. Not only it’s an amazing opportunity to meet with other Kafka enthusiasts, but it’s also a chance to learn new things and network with the best of the best in the industry.
We were thrilled to sponsor and speak at this incredible event! Here are the Keynote speech highlights.
Applying AI to real-time IoT data brings prompt advantages for companies, like a considerable reduction in energy and raw material waste.
Moving Artificial Intelligence models to production environments for IT businesses is as much crucial as painful. This article will show how to wrap ML models into containers, how Seldon helps Ops engineers to orchestrate thousands of models together and how Apache Kafka connects these assets with heterogeneous data and heavy workloads.
Building a performing Machine Learning model requires a significant amount of time to experiment. A data scientist tries different algorithms or different feature engineering strategies before getting the model right. Once the model is tuned to its best, it may be time to serve it in the production environment.