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Innovative data integration in 2024: Pioneering the future of data integration

CIO

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

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Accelerating Industry 4.0 at warp speed: The role of GenAI at the factory edge

CIO

While warp speed is a fictional concept, it’s an apt way to describe what generative AI (GenAI) and large language models (LLMs) are doing to exponentially accelerate Industry 4.0. Manufacturers have been using gateways to work around these legacy silos with IoT platforms to collect and consolidate all operational data.

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Machine Learning In Internet Of Things (IoT) – The next big IT revolution in the making

Openxcell

From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more. What is IoT or Internet of Things? What is Machine Learning?

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The AI continuum

CIO

Generative AI and large language models (LLMs) like ChatGPT are only one aspect of AI. Great for: Extracting meaning from unstructured data like network traffic, video & speech. Downsides: Not generative; model behavior can be a black box; results can be challenging to explain. Learn more.

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AIOps for successful IoT projects

CIO

It’s interesting how the number of projected IoT devices being connected in 2023 can differ by 26 billion from article to article. I can’t imagine being an IT administrator in a large, distributed environment. If you’re new to using AI or HPE Aruba Networking Central, you can learn more from the following links: What is AIOps?

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Gen AI without the risks

CIO

On top of that, Gen AI, and the large language models (LLMs) that power it, are super-computing workloads that devour electricity.Estimates vary, but Dr. Sajjad Moazeni of the University of Washington calculates that training an LLM with 175 billion+ parameters takes a year’s worth of energy for 1,000 US households.

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P&G enlists IoT, predictive analytics to perfect Pampers diapers

CIO

That’s when P&G decided to put data to work to improve its diaper-making business. Data-driven diaper analysis During the diaper-making process, hot glue stream is released from an automated solenoid valve in a highly precise manner to ensure the layers of the diaper congeal properly.

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