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Chinese cyber espionage growing across all industry sectors

CIO

Another commonly shared resource between Chinese threat groups are so-called ORB (Operational Relay Box) networks that consist of thousands of compromised IoT devices and virtual private servers that are used to route traffic and conceal espionage operations.

Industry 198
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Chinese cyber espionage growing across all industry sectors

CIO

Another commonly shared resource between Chinese threat groups are so-called ORB (Operational Relay Box) networks that consist of thousands of compromised IoT devices and virtual private servers that are used to route traffic and conceal espionage operations.

Industry 147
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Applications and innovations in the Internet of Things (IoT)

Hacker Earth Developers Blog

The Internet of Things (IoT) is a system of interrelated devices that have unique identifiers and can autonomously transfer data over a network. IHS Technology predicts that there will be over 30 billion IoT devices in use by 2020 and over 75 billion by 2025. Real-world applications of IoT can be found in several sectors: 1.

IoT 283
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What is data architecture? A framework to manage data

CIO

Data architecture goals The goal of data architecture is to translate business needs into data and system requirements, and to manage data and its flow through the enterprise. AI and ML are used to automate systems for tasks such as data collection and labeling. An organizations data architecture is the purview of data architects.

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AI dominates Gartner’s 2025 predictions

CIO

Guardian Agents’ build on the notions of security monitoring, observability, compliance assurance, ethics, data filtering, log reviews and a host of other mechanisms of AI agents,” Gartner stated. “In Agentic AI will be incorporated into AI assistants and built into software, SaaS platforms, IoT devices and robotics.

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How Celanese makes people central to its digital transformation

CIO

Some are large, spread over more than two square miles, and they run on manual processes that require significant time on data entry and data collection across several non-integrated systems. We take a use-case focus to innovation, so we’re not implementing a digital twin here or some IoT there.

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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning - AI

Ground truth data in AI refers to data that is known to be factual, representing the expected use case outcome for the system being modeled. By providing an expected outcome to measure against, ground truth data unlocks the ability to deterministically evaluate system quality.