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Examples and uses of GIS

IBM Big Data Hub

GIS perform spatial analysis of geospatial datasets—consisting of vector data (points, lines and polygons) and raster data (cells with spatial information)—to produce connected visualizations. Agriculture GIS technology makes productive, sustainable farming possible by providing accurate, comprehensive data.

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Climate change predictions: Anticipating and adapting to a warming world

IBM Big Data Hub

For instance, when utility officials are aware that a heat wave is on its way, they can plan energy procurement to prevent power outages. 3 While the transition from fossil fuels to clean, renewable energy sources is already underway, accelerating this transition could help further limit emissions, even amid rising global energy needs.

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6 Best Threat Intelligence Feeds to Use in 2023

eSecurity Planet

Incoming data is monitored with automated analysis and graphical visualization tools. Though the ISC’s network of volunteers is full of experts, it’s still a relatively small team with a setup that could lead to inconsistencies in reporting and depth of analysis. Daily diaries detail handler analyses.

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The history of renewable energy

IBM Big Data Hub

Renewable energy is critical to combatting climate change and global warming. The use of clean energy and renewable energy resources—such as solar, wind and hydropower—originates in early human history; how the world has harnessed power from these resources to meet its energy needs has evolved over time.