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Best Examples of IoT Applications and IoT Devices: (Internet of Things)

NW Kings

This blog will explore numerous examples of IoT applications, showcasing how these connected devices transform everyday life and industries. Smart Home Devices Smart homes are a prime example of IoT applications. It is as follows- AI and IoT Integration Artificial intelligence (AI) and IoT will enable decision-making processes.

IoT 52
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Cloudera AI Inference Service Enables Easy Integration and Deployment of GenAI Into Your Production Environments

Cloudera Blog

Today, Artificial Intelligence (AI) and Machine Learning (ML) are more crucial than ever for organizations to turn data into a competitive advantage. To unlock the full potential of AI, however, businesses need to deploy models and AI applications at scale, in real-time, and with low latency and high throughput.

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Using Device Telemetry to Answer Questions About Your Network Health

Kentik

Traditional network monitoring relies on telemetry sources such as Simple Network Messaging Protocol (SNMP), sFlow, NetFlow, CPU, memory, and other device-specific metrics. With so many network boundaries being navigated (application, service, cloud providers, subnets, SD-WANs , etc.), What is device telemetry?

Network 97
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Back to the Financial Regulatory Future

Cloudera Blog

From stringent data protection measures to complex risk management protocols, institutions must not only adapt to regulatory shifts but also proactively anticipate emerging requirements, as well as predict negative outcomes.

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Making an AI Investment: How Finance Institutions are Harnessing the Power of AI and Generative AI

Cloudera Blog

Of all of the emerging tech of the last two decades, artificial intelligence (AI) is tipping the hype scale, causing organizations from all industries to rethink their digital transformation initiatives asking where it fits in. Customer experiences One significant application is in creating personalized customer experiences.

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23 Good-To-Know Networking Acronyms and Abbreviations

CATO Networks

According to Gartner, many emerging edge applications require a cloud-delivery-based approach, favoring providers with many points of presence (POPs). QoE takes into account the fact that some performance issues may have a negligible impact on application performance while others render an application unusable.

Network 52
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Understanding Data-platform Needs to Support Network Observability

Kentik

Data platforms offer enterprises a range of features: Data ingestion Data storage Data transformation Data modeling Data discovery Data observability Data security Business intelligence Data platform ingestion Useful data is generated at every layer of an application.

Network 52