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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

Their terminal operations rely heavily on seamless data flows and the management of vast volumes of data. Recently, EUROGATE has developed a digital twin for its container terminal Hamburg (CTH), generating millions of data points every second from Internet of Things (IoT)devices attached to its container handling equipment (CHE).

IoT
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Thinking Machines At Work: How Generative AI Models Are Redefining Business Intelligence

Smart Data Collective

Reading: Thinking Machines At Work: How Generative AI Models Are Redefining Business Intelligence Share Notification Font Resizer Aa Font Resizer Aa Search About Help Privacy Follow US © 2008-23 SmartData Collective. He is passionate about covering topics like big data, business intelligence, startups & entrepreneurship.

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2025 Middle East tech trends: How CIOs will drive innovation with AI

CIO Business Intelligence

AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance. AI and machine learning evolution Lalchandani anticipates a significant evolution in AI and machine learning by 2025, with these technologies becoming increasingly embedded across various sectors.

IoT
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How CIS Credentials Can Launch Your AI Development Career

Smart Data Collective

Learning AI Fundamentals Through a CIS Lens You are already ahead if you’ve worked with systems design, databases, and networking in school or on the job. There are CIS graduates who just need to add machine learning and data modeling to their toolkit. The growing need for big data is another.

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Digital twins at scale: Building the AI architecture that will reshape enterprise operations

CIO Business Intelligence

The process of collecting, processing and integrating data from various sources to ensure the digital twin mirrors the physical entity accurately. AI and machine learning models that analyze data and simulate scenarios to predict future behaviors and outcomes. Analytics and simulation. Visualization.

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Introducing a new unified data connection experience with Amazon SageMaker Lakehouse unified data connectivity

AWS Big Data

Third, some services require you to set up and manage compute resources used for federated connectivity, and capabilities like connection testing and data preview arent available in all services. To solve for these challenges, we launched Amazon SageMaker Lakehouse unified data connectivity.

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Accelerate your data quality journey for lakehouse architecture with Amazon SageMaker, Apache Iceberg on AWS, Amazon S3 tables, and AWS Glue Data Quality

AWS Big Data

In an era where data drives innovation and decision-making, organizations are increasingly focused on not only accumulating data but on maintaining its quality and reliability. By using AWS Glue Data Quality , you can measure and monitor the quality of your data.