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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

As the name suggests, a cloud service provider is essentially a third-party company that offers a cloud-based platform for application, infrastructure or storage services. In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. What Is a Public Cloud?

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Best practices for Meta Llama 3.2 multimodal fine-tuning on Amazon Bedrock

AWS Machine Learning - AI

The required training dataset (and optional validation dataset) prepared and stored in Amazon Simple Storage Service (Amazon S3). He has extensive experience designing end-to-end machine learning and business analytics solutions in finance, operations, marketing, healthcare, supply chain management, and IoT.

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Does It Make Sense to Push All Your IoT Data to the Cloud?

Actian

IoT devices create plenty of data – much more that you might think. When you multiply this amount of data by the number of devices installed in your company’s IT ecosystem, it is apparent IoT is a truly big data challenge. Why would you move IoT data to the cloud? Enable business analytics and decision-making.

IoT 45
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PaaS, IaaS, and SaaS: Making the Right Choice for Your Oracle Cloud Migration

Datavail

compute, network, storage, etc.) PaaS includes the essential infrastructure and middleware as well as technologies such as artificial intelligence, the Internet of Things (IoT), containerization, and big data analytics. You prefer a monthly or an annual payment scheme to large one-time capital expenses.

Cloud 97
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Does It Make Sense to Push All Your IoT Data to the Cloud?

Actian

IoT devices create plenty of data – much more that you might think. When you multiply this amount of data by the number of devices installed in your company’s IT ecosystem, it is apparent IoT is a truly big data challenge. Why would you move IoT data to the cloud? Enable business analytics and decision-making.

IoT 8
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AI-powered assistants for investment research with multi-modal data: An application of Agents for Amazon Bedrock

AWS Machine Learning - AI

The multi-modal agent is implemented using Agents for Amazon Bedrock and coordinates the different actions and knowledge bases based on prompts from business users through the AWS Management Console , although it can also be invoked through the AWS API. In our previous post , we deployed a persistent storage solution using Amazon DynamoDB.

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Streaming Analytics in the Real World

Cloudera

According to Dinesh Chandrasekhar, the Director Product Marketing at Cloudera, data decay – or deterioration – complicates an already complex ecosystem defined by the exponential explosion of data from streaming sources such as IoT.

Analytics 101