Remove Business Analytics Remove IoT Remove Storage
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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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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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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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Turning Businesses Digital with Mobile App Development

Sunflower Lab

Some features of the application are as follows: SaaS platform that automated a secured process and storage of electronic medical records (EMR). Through proper business analytics, the overall productivity is tracked, which provides a good idea of the patient satisfaction ratio and the revenue that can be expected.

Mobile 52
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Turning Businesses Digital with Mobile App Development

Sunflower Lab

Some features of the application are as follows: SaaS platform that automated a secured process and storage of electronic medical records (EMR). Through proper business analytics, the overall productivity is tracked, which provides a good idea of the patient satisfaction ratio and the revenue that can be expected.

Mobile 52
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Few-shot prompt engineering and fine-tuning for LLMs in Amazon Bedrock

AWS Machine Learning - AI

Cost Monthly cost incurred for fine-tuning = Fine-tuning training cost for the model (priced by number of tokens for training data) + custom model storage per month + hourly cost (or Provisioned Throughput cost for time commitment) of custom model inference.

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MongoDB Atlas: Not Your Parents’ Cloud Database

Datavail

Turning fast-moving internet of things (IoT) data streams into insight. Performing real-time or predictive business analytics with minimal latency. Costs are largely calculated according to the size of the storage used and the number of servers. Building mobile-ready applications which can scale to a global user network.

Cloud 40