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Data Integration in Real-Time Systems

DZone

In the rapidly evolving digital landscape, the role of data has shifted from being merely a byproduct of business to becoming its lifeblood. With businesses constantly in the race to stay ahead, the process of integrating this data becomes crucial.

Systems 281
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Google Cloud Next 2024: AI innovation for Google Cloud

Dynatrace

By seamlessly integrating observability, AI-driven insights, and data analytics, organizations can overcome common obstacles such as operational inefficiencies, performance bottlenecks, and scalability concerns. AI innovation elevates efficiency and performance of Google Cloud AI adoption is increasingly critical for any organization.

Google 263
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Optimizing Generative AI With Retrieval-Augmented Generation: Architecture, Algorithms, and Applications Overview

DZone

This article is intended for data scientists, AI researchers, machine learning engineers, and advanced practitioners in the field of artificial intelligence who have a solid grounding in machine learning concepts, natural language processing , and deep learning architectures.

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Overcoming Challenges and Best Practices for Data Migration From On-Premise to Cloud

DZone

Data migration is the process of moving data from one location to another, which is an essential aspect of cloud migration. Data migration involves transferring data from on-premise storage to the cloud. With the rapid adoption of cloud computing , businesses are moving their IT infrastructure to the cloud.

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Managing IoT Edge Devices at Scale: Device Lifecycle and Configuration Management

DZone

IoT has ushered in an era of unprecedented connectivity and data collection. IoT edge devices, ranging from sensors to industrial machines, have become integral to various industries, offering insights, automation, and efficiency. However, managing a large number of these edge devices efficiently poses a significant challenge.

IoT 204
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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

Systems 226
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TPM Chips and the Use of TPM in Virtualization Technology

DZone

TPM chips have grown in relevance in both physical and virtual contexts, where they play a critical role in data security and preserving the integrity of computer systems. TPM chips, their functionality, and how they are used in virtualization technology will be discussed in this article.