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How to Manage Risk with Modern Data Architectures

Cloudera

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

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IoT in Healthcare: 5 Examples of Successful Implementation

Trigent

Adopting any new technology in the healthcare world has been perceived to be slow due to the strict governance around data protection, compliance, and the long-drawn processes around testing new healthcare options. While IoT in healthcare adoption was slow initially, today, the benefits far outweigh the concerns. In-hospital care.

IoT 52
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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Altexsoft

This article explains what a data lake is, its architecture, and diverse use cases. Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. An example of a data lake architecture. Data warehouse vs. data lake in a nutshell.

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How modern CIOs are freeing up time to lead strategy

CIO

But most importantly, without strong connectivity, businesses can’t take advantage of the newest advancements in technology such as hybrid multi-cloud architecture, Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML) and edge micro data centre deployment.

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4 paths to sustainable AI

CIO

Credit rating agencies and customers are paying closer attention to environmental, social, and governance (ESG) issues such as carbon emissions, says Faith Taylor, VP of global sustainability and ESG officer at global infrastructure services provider Kyndryl. We see it as a recruiting and retention factor.”

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How the Public Sector Can Maximize the Value of Dark Data

Cloudera

Every web document, scanned document, email, social media post, and media download? Now consider that the federal government has approximately 2.8 Some examples include employee records, internal and external communications, photo, video, and audio files, IoT sensor data, and streamed data.

Data 83
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Australian businesses need new servers to drive sustainability and innovation

CIO

This number is concerning given emerging digital technologies such as blockchain, IoT, artificial intelligence, and machine learning are increasing demand for data centre services further, as workloads are no longer confined to the core data centre and can run anywhere, including the edge.