How to Incorporate AI Into Your Data Analysis

Finding the right dataset and preparing it for analysis can take hours of manual work. Identifying features across large images or simulation results adds to that effort. For teams running simulations, waiting until a run finishes also means missing the opportunity to examine results and make changes along the way.

This webinar explores how AI-assisted visual workflows can help address these challenges. Kitware’s experts will demonstrate:

• AI-assisted data exploration: Find and explore scientific datasets with AI assistants. See how plain-language requests become visualization and analysis workflows.
• Machine learning for imaging and simulation: Train a model on a small labeled sample. Apply it to identify regions in 3D images or features in simulation results.
• Analysis during a running simulation: Use Catalyst to connect an analysis application to a running simulation. Examine flow features and extract information as the simulation progresses.

This webinar will include practical examples using ParaView, trame, Tomviz, and Catalyst, with time for Q&A at the end.

Key Takeaways

• Understand how plain-language requests can guide visualization and analysis.
• Learn how machine learning can apply information from a small labeled sample to a larger dataset.
• See how Catalyst supports analysis during a simulation.
• Explore how AI assistants help you find and manage scientific data.

Who Should Attend

• Researchers and engineers working with simulations.
• Imaging and microscopy scientists analyzing large 3D datasets.
• Data scientists and data managers responsible for scientific datasets.
• Research software engineers and application developers.
• Visualization specialists.
• Managers and group leads overseeing these teams.