In this webinar, we are joined by O’Reilly author and Lightbend Principal Architect, Boris Lublinsky, as he discusses one of the hottest topics in software engineering today: serving machine learning models.
Typically with machine learning, different groups are responsible for model training and model serving. Data scientists often introduce their own machine-learning tools, causing software engineers to create complementary model-serving frameworks to keep pace. It’s not a very efficient system. In this webinar, Boris demonstrates a more standardized approach to model serving and model scoring, focusing on:
If you'd like to learn more, visit these Lightbend resources to keep up with this emerging competitive advantage:
As always, Lightbend is here to make your streaming, Fast Data, and Machine Learning journey successful. To find out more about our platform subscription, getting-started engagement services, or anything else, feel free to contact us below and schedule a 20-min introduction.