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Secure cloud fabric: Enhancing data management and AI development for the federal government

CIO Business Intelligence

In recent years, government agencies have increasingly turned to cloud computing to manage vast amounts of data and streamline operations. While cloud technology has many benefits, it also poses security risks, especially when it comes to protecting sensitive information.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.

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Data Centers Are Reshaping the Future of eCommerce Management

Smart Data Collective

They give online retailers high levels of control over their own internal data. They are not subject to data loss from hosting it in the cloud, which might have retention policies outside their control. E-commerce companies are using a lot of great data centers and hosting options.

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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

Through both mandatory reporting and voluntary disclosures, companies can identify and manage climate-related risks, and provide valuable information to investors and other stakeholders for greater transparency. 2 For example, some are turning to software solutions that can more easily capture, manage and report ESG data.

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Business Intelligence for Fairs, Congresses and Exhibitions

Smart Data Collective

Business intelligence is simply a tool, computer software, and practice used to collect, integrate, analyze, and present raw business data that can be used to create actionable and informative business data. Business intelligence tools can include data warehousing, data visualizations, dashboards, and reporting.

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Strengthening cybersecurity in life sciences with IBM and AWS

IBM Big Data Hub

Cloud computing offers the potential to redefine and personalize customer relationships, transform and optimize operations, improve governance and transparency, and expand business agility and capability. Cloud is transforming the way life sciences organizations are doing business.

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Gain insights from historical location data using Amazon Location Service and AWS analytics services

AWS Big Data

By combining historical vehicle location data with information from other sources, the company can devise empirical approaches for better decision-making. For example, the company’s procurement team can use this information to make decisions about which vehicles to prioritize for replacement before policy changes go into effect.