Remove Data Processing Remove IoT Remove Modeling
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AI dominates Gartner’s 2025 predictions

CIO Business Intelligence

Large language models that emerge have no set end date, which means employees’ personal data that is captured by enterprise LLMs will remain part of the LLM not only during their employment, but after their employment. CMOs view GenAI as a tool that can launch both new products and business models.

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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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The DataOps Vendor Landscape, 2021

DataKitchen

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. GitHub – A provider of Internet hosting for software development and version control using Git. Azure Repos – Unlimited, cloud-hosted private Git repos. .

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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for. Machine Learning model lifecycle management. As noted above, ML and AI involves more than model building. We are beginning to see interesting industrial IoT applications and systems.

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

datapine

This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience. Gartner has stated that “artificial intelligence in the form of automated things and augmented intelligence is being used together with IoT, edge computing and digital twins.” Connected Retail.

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Architectural Patterns for real-time analytics using Amazon Kinesis Data Streams, Part 2: AI Applications

AWS Big Data

Now get ready as we embark on the second part of this series, where we focus on the AI applications with Kinesis Data Streams in three scenarios: real-time generative business intelligence (BI), real-time recommendation systems, and Internet of Things (IoT) data streaming and inferencing. The event tracker performs two primary functions.

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Azure Cloud Is Transforming the Way We Run Our Businesses in 2021

Smart Data Collective

For instance, Azure Digital Twins allows companies to create digital models of environments. It is an Internet of Things (IoT) platform that promotes the creation of a digital representation of real places, people, things, and business processes. This is a game-changer in industrial IoT applications. Convenience all the way!