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Renewable energy in action: Examples and use cases for fueling the future

IBM Big Data Hub

As more countries, companies and individuals seek energy sources beyond fossil fuels, interest in renewable energy continues to rise. In fact, world-wide capacity for energy from solar, wind and other renewable sources increased by 50% in 2023. What is renewable energy? trillion in 2023. trillion in 2023.

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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. ” can be answered by geospatial data and GIS.

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6 Best Threat Intelligence Feeds to Use in 2023

eSecurity Planet

Here are our picks for the top threat intelligence feeds that security teams should consider adding to their defensive arsenal: AlienVault Open Threat Exchange: Best for community-driven threat feeds FBI InfraGard: Best for critical infrastructure security abuse.ch

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The Week in Cyber Security and Data Privacy: 27 November – 3 December 2023

IT Governance

The security researcher Bob Diachenko of SecurityDiscovery first identified the exposed information in mid-September. We’ve also found 9 organisations providing a significant update on a previously disclosed incident. Organisation name Sector Location Data exfiltrated?

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The Weeks in Cyber Security and Data Privacy: 18 – 31 December 2023

IT Governance

billion records The security researcher Jeremiah Fowler discovered an unprotected database exposing more than 1.5 Fowler contacted the company, which secured the database. The security researcher Bob Diachenko identified the leak in September and contacted TuneFab, which fixed the misconfiguration within 24 hours.

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

Collibra

The Internet-of-Things has the potential to transform a range of industries – from automotive and agriculture through to healthcare, home appliances and insurance services. Continued evolution of chipsets, cloud architectures and AI/ML algorithms will provide evermore scalable storage and computer required to analyse that data.

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