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More connected, less secure: Addressing IoT and OT threats to the enterprise

CIO Business Intelligence

The Internet of Things (IoT) is a permanent fixture for consumers and enterprises as the world becomes more and more interconnected. By 2027, the global number of connected IoT devices is projected to exceed 29 billion, a significant increase from the 16.7 billion devices reported in 2023.

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What you need to know about IoT in enterprise and education

CIO Business Intelligence

What you need to know about IoT in enterprise and education . In an era of data driven insights and automation, few technologies have the power to supercharge and empower decision makers like that of the Internet of Things (IoT). . As the adoption of IoT devices is expected to reach 24.1 billion by 2029.

IoT 137
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AIOps for successful IoT projects

CIO Business Intelligence

It’s interesting how the number of projected IoT devices being connected in 2023 can differ by 26 billion from article to article. HPE Aruba Networking Central includes a feature called Client Insights that gives you AI-powered profiling, traffic visibility and also lets you see if IoT clients change their behavior.

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The Best IoT Temperature Sensors for Smart Homes

Smart Data Collective

The Internet of Things (IoT) has changed our lives in extraordinary ways. A number of new IoT devices have made it easier to manage smart homes and have improved or lives. billion IoT devices online by 2025 , as more people discover their benefits. More homeowners and businesses are looking for IoT devices to invest in.

IoT 125
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How IEC 62443 and Other Regulatory Requirements Help Enable IoT Security

Smart Data Collective

The use of IoT devices and operational technology (OT) generates new attack surfaces that can expose an organization’s critical infrastructure to hackers and other threat actors. Just like most other things that gain widespread use, regulation has started creeping into IoT products. IoT Cybersecurity Improvement Act of 2020.

IoT 100
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AI adoption accelerates as enterprise PoCs show productivity gains

CIO Business Intelligence

Some prospective projects require custom development using large language models (LLMs), but others simply require flipping a switch to turn on new AI capabilities in enterprise software. “AI That work is difficult and requires highly skilled talent, which is why many enterprises bring in a partner to help with the work.

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Three Emerging Analytics Products Derived from Value-driven Data Innovation and Insights Discovery in the Enterprise

Rocket-Powered Data Science

The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data. What could be faster and easier than on-prem enterprise data sources? using high-dimensional data feature space to disambiguate events that seem to be similar, but are not).