Remove AWS Remove Data Pipeline Remove Internet of Things
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Administering Data Fabric to Overcome Data Management Challenges.

Smart Data Collective

Recognizing the potential of data, organizations are trying to extract values from their data in various ways to create new revenue streams and reduce the cost and resources required for operations. The increased amounts and types of data, stored in various locations eventually made the management of data more challenging.

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Deploy a predictive maintenance solution for airport baggage handling systems with Amazon Lookout for Equipment

AWS Machine Learning Blog

In this post, we describe how AWS Partner Airis Solutions used Amazon Lookout for Equipment , AWS Internet of Things (IoT) services, and CloudRail sensor technologies to provide a state-of-the-art solution to address these challenges. It’s an easy way to run analytics on IoT data to gain accurate insights.

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Apache Kafka use cases: Driving innovation across diverse industries

IBM Journey to AI blog

Producers and consumers A ‘producer’, in Apache Kafka architecture, is anything that can create data—for example a web server, application or application component, an Internet of Things (IoT) , device and many others. Here are a few of the most striking examples.

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What are Snowflake Hybrid Tables, and What Workloads Do They Support?

phData

However, it is now available in public preview in specific AWS regions, excluding trial accounts. The real benefit of utilizing Hybrid tables is that they bring transactional and analytical data together in a single platform. Hybrid tables can streamline data pipelines, reduce costs, and unlock deeper insights from data.

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Serverless use cases: How enterprises are using the technology to let developers innovate

IBM Journey to AI blog

Today, all leading CSPs, including Amazon Web Services (AWS Lambda), Microsoft Azure (Azure Functions) and IBM (IBM Cloud Code Engine) offer serverless platforms. Additionally, serverless’ always-on capabilities mean data pipelines can be designed in a way to react to real-time changes in data and change application logic accordingly.

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Generative AI for agriculture: How Agmatix is improving agriculture with Amazon Bedrock

AWS Machine Learning Blog

This post describes how Agmatix uses Amazon Bedrock and AWS fully featured services to enhance the research process and development of higher-yielding seeds and sustainable molecules for global agriculture. AWS generative AI services provide a solution In addition to other AWS services, Agmatix uses Amazon Bedrock to solve these challenges.

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