Lucidworks Fusion pairs machine learning and search to interpret user intent and provide the most relevant, contextual experiences for search and discovery applications. The Data Science Toolkit Integration in Fusion 5.1 takes relevance a step further by allowing data scientists to develop in their data science toolkit of choice (TensorFlow, spaCy and scikit-learn) and then deploy custom machine learning models directly into Fusion’s search pipelines.
Join us for a look into what’s new in the latest release of Fusion, including a deep dive into the Data Science Toolkit Integration and its benefits for digital workplace and digital commerce applications.
This webinar will cover:
- An introduction to Fusion’s ML service
- Fusion’s Jupyter notebook integration for exploring data and testing models
- Deploying ML models at scale in Fusion using Seldon Core