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Reference guide to build inventory management and forecasting solutions on AWS

AWS Big Data

Such a solution should use the latest technologies, including Internet of Things (IoT) sensors, cloud computing, and machine learning (ML), to provide accurate, timely, and actionable data. Data ingestion and storage Retail businesses have event-driven data that requires action from downstream processes.

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Extract insights in a 30TB time series workload with Amazon OpenSearch Serverless

AWS Big Data

In today’s data-driven landscape, managing and analyzing vast amounts of data, especially logs, is crucial for organizations to derive insights and make informed decisions. We recently announced a new capacity level of 30TB for time series data per account per AWS Region.

Testing 111
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Stream multi-tenant data with Amazon MSK

AWS Big Data

Real-time data streaming has become prominent in today’s world of instantaneous digital experiences. Processing these data streams in real time is key to delivering responsive and personalized solutions, and maximizes the value of data by processing it as close to the event time as possible.

Modeling 115
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The Data Behind Tokyo 2020: The Evolution of the Olympic Games

Sisense

During this period, those working for each city’s Organising Committee for the Olympic Games (OCOG) collect a huge amount of data about the planning and delivery of the Games. At the Information, Knowledge, and Games Learning (IKL) unit, we anticipate collecting about 1TB of data from primary sources.

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How to Drive Competitive Advantage from Next-Gen Computing

CIO Business Intelligence

First came those driven by cloud, mobile, and advanced security. Then came the arrival of 5G, edge, and the Internet of Things (IoT). But it also introduces a new set of challenges for the enterprise’s IT infrastructure, not least the need for more powerful tools to process workloads and data faster and more efficiently.

IoT 98
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How to Drive Competitive Advantage from Next-Gen Computing

CIO Business Intelligence

First came those driven by cloud, mobile, and advanced security. Then came the arrival of 5G, edge, and the Internet of Things (IoT). But it also introduces a new set of challenges for the enterprise’s IT infrastructure, not least the need for more powerful tools to process workloads and data faster and more efficiently.

IoT 98
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Digital transformation: nei progetti a tutto campo la chiave è il change management

CIO Business Intelligence

Trasformazione digitale: la data platform e il digital twin AMA è tra le organizzazioni che stando imprimendo un forte slancio alla loro digitalizzazione. Roero ha in mente anche l’introduzione dell’intelligenza artificiale per rendere più fluidi e controllati i processi e rendere l’azienda data-driven.