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How AI is helping companies meet sustainability goals

IBM Big Data Hub

AI solutions work by collecting asset performance data and feeding it into machine learning models, which can predict asset health and risk of failure. Anomaly detection: Some manufacturers have zero-defect goals. These models will be valuable for predicting flood zones, forest fires , and other climate risks.

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The most valuable AI use cases for business

IBM Big Data Hub

Agricultural machines can engage in autonomous pruning, moving, thinning, seeding and spraying. Automotive With applications of AI, automotive manufacturers are able to more effectively predict and adjust production to respond to changes in supply and demand. ML can also conduct algorithmic trading without human intervention.

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Observations on the Cybersecurity Executive Order and Presidential Policy Directive

Hunton Privacy

to mitigate cyber risk.”. to mitigate cyber risk.”. This is a dramatic change from President Obama’s first pronouncement on cybersecurity just five months after taking office.

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The Week in Cyber Security and Data Privacy: 4 – 10 December 2023

IT Governance

Known records breached Up to 3,806 organisations with DICOM (Digital Imaging and Communications in Medicine) servers Source (New) Healthcare Unknown Unknown >59 million Akumin Source (New) Healthcare USA Yes 5 TB AMCO Proteins Source (New) Manufacturing USA Yes 4 TB Norton Healthcare Source (New) Healthcare USA Yes 2.5 and Robert W.

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GUEST ESSAY: Why organizations need to prepare for cyber attacks fueled by quantum computers

The Last Watchdog

This is even more urgent as quantum computers will increase our risk of critical infrastructure disruption or failure. About the essayist: Skip Sanzeri is COO of QuSecure , supplier of QuProtect™, a state-of-the-art, software-based quantum security solution.

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6 Best Threat Intelligence Feeds to Use in 2023

eSecurity Planet

Threat intelligence feeds are continually updated streams of data that inform users of different cybersecurity threats, their sources, and any infrastructure impacted or at risk of being impacted by those threats.

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CISA issues proposed rules for cyber incident reporting in critical infrastructure

Data Protection Report

Sector-Based Criteria: CISA’s sector-based criteria captures smaller entities that may not meet the size threshold but are nonetheless considered “high-risk,” such as critical access hospitals in rural areas, owners and operators of nuclear facilities, and large school districts.