Think of an owl, and you probably picture a bird hooting from a tree deep in the wilderness. In fact, recent research finds that owls adapt very well to urban and industrial settings and are increasingly found thriving in areas of high human population. It’s one finding from a team at the University of Alaska Fairbanks that’s using machine learning to understand and predict where different animals live and thrive. As the delicate balance that sustains our planet’s wildlife is disrupted, researchers need these kinds of bold new ways to use technology to monitor species and better conserve their habitats. The team is currently focusing on the habitats of squirrels and owls by applying machine learning algorithms to large wildlife data sets, a wealth of environmental data, and geographic information systems (GIS). The insights aim to support climate change forecasts, evolutionary research, and global conservation efforts. Aided by Oracle Cloud Infrastructure, they’re already debunking some prevailing myths about these creatures.
Catch replays of keynotes from Larry Ellison, Safra Catz, Clay Magouyrk, Steve Miranda, and Juan Loaiza, plus Mike Sicilia’s Oracle Health Conference kickoff.
German online supermarket Flink improved automation and visibility using Oracle Retail, helping it to better track inventory across hubs and distribution centers to meet customer expectations for fast, accurate deliveries.
Manufacturers are building system connectivity and data sharing that will let them reimagine how their facilities work, helping them produce goods faster and with fewer defects while cutting costs. Visit Oracle Connectfor more stories
Oracle CloudWorld Tour Worldwide January–April 2024 Elevate the service experience to master “anything-as-a-service” delivery On demand Harmonize financial data and ease M&A On demand Find developer community events Live and on demand
