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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for.

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The DataOps Vendor Landscape, 2021

DataKitchen

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. . Collaboration and Sharing.

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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big 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). Their terminal operations rely heavily on seamless data flows and the management of vast volumes of data.

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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

An important part of artificial intelligence comprises machine learning, and more specifically deep learning – that trend promises more powerful and fast machine learning. They indeed enable you to see what is happening at every moment and send alerts when something is off-trend. Connected Retail.

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AI in the cloud pays dividends for Liberty Mutual

CIO Business Intelligence

Eight years ago, McGlennon hosted an off-site think tank with his staff and came up with a “technology manifesto document” that defined in those early days the importance of exploiting cloud-based services, becoming more agile, and instituting cultural changes to drive the company’s digital transformation.

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How Big Data Has Become Integral to Commercial Fleet Success

Smart Data Collective

Big data solutions are often created and supported using various technologies from IIoT to machine learning and AI. A critical component of smarter data-driven operations is commercial IoT or IIoT, which allows for consistent and instantaneous fleet tracking. The global IoT fleet management market is expected to reach $17.5

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

AWS Big Data

This fragmented, repetitive, and error-prone experience for data connectivity is a significant obstacle to data integration, analysis, and machine learning (ML) initiatives. For Host , enter your host name of your Aurora PostgreSQL database cluster. On your project, in the navigation pane, choose Data. Choose Next.