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Innovative data integration in 2024: Pioneering the future of data integration

CIO Business Intelligence

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

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What is data architecture? A framework to manage data

CIO Business Intelligence

Modern data architecture best practices Data architecture is a template that governs how data flows, is stored, and accessed across a company. Modern data architectures must be designed to take advantage of technologies such as AI, automation, and internet of things (IoT). Data integrity.

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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 111
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Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

Labels are curated and stored with the content, thus enabling curation, cataloguing (indexing), search, delivery, orchestration, and use of content and data in AI applications, including knowledge-driven decision-making and autonomous operations.

Strategy 267
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Navigating the data management maze: How emerging tech and modern solutions are revolutionizing mainframe-to-cloud integration

CIO Business Intelligence

Emerging technologies are transforming organizations of all sizes, but with the seemingly endless possibilities they bring, they also come with new challenges surrounding data management that IT departments must solve. Often organizations struggle with data replication, synchronization, and performance.

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Administering Data Fabric to Overcome Data Management Challenges.

Smart Data Collective

Recognizing the potential of data, organizations are trying to extract values from their data in various ways to create new revenue streams and reduce the cost and resources required for operations. The increased amounts and types of data, stored in various locations eventually made the management of data more challenging.

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How BSH boosted their knowledge power to deliver better customer service

CIO Business Intelligence

The insufficiently connected systems even prevented BSH from taking full advantage of what the Internet of Things and the company’s “smart” appliances have to offer. This deficiency impacted the targeted marketing campaigns that would help boost the consumer experience (CX) and engagement.