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Make Better Predictions With Spatial ML Algorithms on Oracle Autonomous Database Serverless Pt. 2
Tuesday March 25, 2025 1:30pm - 2:15pm MDT
Room 105
In this session, we will work with Oracle Machine Learning for Python (OML4Py) Spatial AI on Autonomous Database Serverless (ADB-S) to improve predictions about electric vehicle adoption. We will load and prepare data on electric vehicle registrations in California, then build models using spatial machine learning algorithms. These algorithms incorporate location-based effects, enhancing traditional machine learning with more reliable predictions.

OML4Py Spatial AI provides specialized machine learning algorithms that account for location-based influences. Using spatial algorithms can improve model quality and prediction accuracy. For example, spatial regression algorithms can enhance home value predictions by considering the influence of nearby properties. Spatial algorithms can also identify location-based patterns, such as clusters of traffic accidents. As part of OML4Py on Autonomous Database Serverless, Spatial AI enables seamless spatial ML workflows, reducing data movement to external ML engines, simplifying architecture, and accelerating time to value.
Speakers
avatar for Rahul Tasker

Rahul Tasker

Senior Product Manager, Oracle
Rahul is a senior product manager for Oracle Spatial and Graph. He defines product strategy and vision to drive revenue, growth, and market adoption, while also identifying technology products and features that meet customer needs.
Tuesday March 25, 2025 1:30pm - 2:15pm MDT
Room 105
  Development, Data (not database)

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