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The advantages and disadvantages of renewable energy

IBM Big Data Hub

New developments in renewable energy are making headlines and inspiring hope in communities worldwide, from a remote Arctic village working to harness solar and wind power under challenging conditions to a U.S. Air Force base planning an advanced, utility-scale geothermal power system. Let’s take a look at both.

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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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Capgemini and IBM Ecosystem strengthen partnership for Drone-as-a-Service

IBM Big Data Hub

Today, utilities and many other industries use drones extensively to conduct surveys, map assets and monitor business operations. The flexibility of DaaS in offering a multiplicity of data collection services for different industry use cases makes it unique. The global commercial drone market is projected to grow from USD 8.15

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Utilities Digital Journey Insights (Part 3): Data, the new “digital capital” - Going beyond the hype of advanced analytics and AI

CGI

Utilities Digital Journey Insights (Part 3): Data, the new “digital capital” - Going beyond the hype of advanced analytics and AI. This series of blog posts builds on the 2018 CGI Client Global Insights, providing insights into how utilities are making progress toward digital transformation. So where do utilities stand?

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Forescout Platform: NAC Product Review

eSecurity Planet

This capability is further enhanced through compatibility with millions of potential endpoints from heart monitors to security cameras to industrial control systems. to stringent (quarantine assets, turn off switch port, block access, disable network card, etc.)

IoT 93
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There’s More to erwin Data Governance Automation Than Meets the AI

erwin

Industry analysts and other people who write about data governance and automation define it narrowly, with an emphasis on artificial intelligence (AI) and machine learning (ML). The bottom line is you do not need to waste precious time, energy and resources to search, manage, analyze, prepare or protect data manually.