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Examples and uses of GIS

IBM Big Data Hub

Urban planning Governments use GIS data and GIS-based solutions for urban planning: zoning and land use projects, natural disaster and health event response, roadway system and building design, utility distribution, energy production, and waste and resource management.

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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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The Week in Cyber Security and Data Privacy: 12 – 18 February 2024

IT Governance

Source 1 ; source 2 New Healthcare USA Yes 12,539 Cal-Comp Electronics Source New Manufacturing Thailand Yes 12,000 Tax Favored Benefits Source New Finance USA Yes 10,974 US GAO (Government Accountability Office) Source New Public USA Yes 6,600 Dobson Technologies, Inc.

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The different types of renewable energy 

IBM Big Data Hub

Renewable energy , also known as clean energy, is produced from natural resources that are generated and replenished faster than they are consumed—such as the sun, water and wind. Most renewable energy sources produce zero carbon emissions and minimal air pollutants.

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6 Best Threat Intelligence Feeds to Use in 2023

eSecurity Planet

FBI InfraGard Best for critical infrastructure security InfraGard is a threat intelligence feed and network partnership between the FBI and other government agencies and interested private sector parties. The massive, crowdsourced approach OTX takes limits the possibility of effective quality assurance. critical infrastructure.

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The Internet of Things (IoT): Managing the Data Tsunami

Collibra

A tsunami of new data streams offers enormous opportunities in guiding digital transformation strategies across many industries. Yet along that path there will be numerous obstacles to overcome – chiefly related to data privacy and governance. Data governance holds the key. Monetising Data Assets.

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