Remove Artificial Inteligence Remove Data Remove IoT Remove Machine Learning
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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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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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The Synergy of IoT and Machine Learning: Unlocking the Potential of Connected Devices

InfoBest

In an era reminiscent of science fiction, two groundbreaking technologies have emerged, poised to reshape our world: the Internet of Things (IoT) and Machine Learning. Enhancing Data Collection and Analysis One of the primary advantages of IoT is its ability to generate vast amounts of real-time data from various sources.

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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly Media - Ideas

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. You can find full results from the survey in the free report “Evolving Data Infrastructure”.).

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Why IoT Needs Machine Learning to Thrive

CTOvision

Read why Marta Robertson says that the Internet of Things needs machine learning to thrive on IoT for All : There’s an unceasing buzz around big data and AI, the opportunities and threats of these technologies and concerns about their future.

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How to Launch Your AI Projects from Pilot to Production – and Ensure Success

CIO

CIOs seeking big wins in high business-impacting areas where there’s significant room to improve performance should review their data science, machine learning (ML), and AI projects. Are data science teams set up for success? Adopt a build, buy, or partner when developing models.