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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. As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for.

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Australian businesses need new servers to drive sustainability and innovation

CIO

This number is concerning given emerging digital technologies such as blockchain, IoT, artificial intelligence, and machine learning are increasing demand for data centre services further, as workloads are no longer confined to the core data centre and can run anywhere, including the edge.

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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

Knowledge Bases is completely serverless, so you don’t need to manage any infrastructure, and when using Knowledge Bases, you’re only charged for the models, vector databases and storage you use. To learn more about the capabilities of Amazon Bedrock and knowledge bases, refer to Knowledge base for Amazon Bedrock.

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Innovative Technology for an Advanced Security Ecosystem: Challenges and Solutions

Perficient

Capturing data in real time: IoT and Priority Security This dynamic environment is powered by microservices that capture data by integrating with devices through IoT (Internet of Things). In the vehicular domain, our systems, connected to the Azure cloud via IoT, search for incident-related license plates in real time.

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LG announces the first 50 participants in its LG Nova program

TechCrunch

Xplorit Virtual Travel – Real-world metaverse platform that offers experiential virtual travel and immersive storytelling experiences. MET3R – Unique smart charging and energy storage services to bridge the gap between electric mobility and the smart grid to support the decarbonization of the energy sector.

3D 221
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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Altexsoft

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. This structure is made efficient by data engineering practices that include object storage. Many organizations also deploy data marts , which are dedicated storage repositories for specific business lines or workgroups.

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Optimizing the Energy Sector with Data Analytics

Cloudera

For example, predictive maintenance, based on machine learning, will enable utility companies to take preventative action that avoids large-scale power outages and costs. These efficiencies are achieved through remote inspection solutions, avoiding staff travel, and cutting resolution times.

Energy 85