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Elections 2024, artificial intelligence could upset world balances

Security Affairs

Governments should recognize electoral processes as critical infrastructure and enact laws to regulate the use of generative Artificial Intelligence. Various state actors will attempt to interfere with voting operations by supporting candidates whose policies align with the interests of their governments.

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How AI is helping companies meet sustainability goals

IBM Big Data Hub

If we think about asset maintenance, for example, the questions are which technicians are available, where, and how should their work be prioritized. Anomaly detection: Some manufacturers have zero-defect goals. It’s not about minimizing travel. AI can tackle problems like asset maintenance efficiently.

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Security Blueprints of Many Companies Leaked in Hack of Swedish Firm Gunnebo

Krebs on Security

The Gunnebo Group is a Swedish multinational company that provides physical security to a variety of customers globally, including banks, government agencies, airports, casinos, jewelry stores, tax agencies and even nuclear power plants. ” It remains unclear whether the stolen RDP credentials were a factor in this incident.

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5 IoT Security Predictions for 2019

Security Affairs

The DCMS (Digital, Culture, Media & Sport) department of the United Kingdom government published the “ Code of Practice for Consumer IoT Security ” and the “ Secure by Design: Improving the cyber security of consumer Internet of Things Report ”, setting guidelines and recommendations for secure IoT devices.

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One-Month Countdown to Pass CCPA Amendments Begins

Data Protection Report

Next, AB 874 would redefine “personal information” to exclude information from government records. Key issues: (1) Will CCPA place any conditions on information that is publicly available from government records, such as limiting its use only to the purpose for which the information is publicly maintained? (2)

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

For example, is the problem related to declining revenue or production bottlenecks? Data science use cases Data science is widely used in industry and government, where it helps drive profits, innovate products and services, improve infrastructure and public systems and more.

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10 everyday machine learning use cases

IBM Big Data Hub

For example, many use it to contact users who leave products in their cart or exit their website. At Slack, ML powers video processing, transcription and live captioning that’s easily searchable by keyword and even helps predict potential employee turnover. They power the voice assistants that set alarms and compose messages.