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AIOps observability adoption ascends in healthcare

Dynatrace

Every day, healthcare organizations across the globe have embraced innovative technology to streamline the delivery of patient care. As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation.

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Laravel For Healthcare App Development: Why So Obvious?

Tech News Gather

Healthcare apps have become quite popular and essential today, especially in the wake of the COVID-19 pandemic. With quality healthcare app development , patients as well as healthcare service providers have the chance to avail a more streamlined and faster service on-demand.

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Ready-to-Use High Availability Architectures for MySQL and PostgreSQL

Percona

So why not use a proven architecture instead of starting from scratch on your own? This blog provides links to such architectures — for MySQL and PostgreSQL software. You can use these Percona architectures to build highly available PostgreSQL or MySQL environments or have our experts do the heavy lifting for you.

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Anomaly Detection: Leveraging Rule Engines to Minimize False Alarms

DZone

Anomalies are deviations from expected patterns and can occur in a plethora of contexts — be it in banking transactions, industrial operations, the marketing industry, or healthcare monitoring. Overview of the System Architecture Data Stream This is the continuous flow of data that the engine reviews.

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Causal AI use cases for modern observability that can transform any business

Dynatrace

Healthcare. For example, causal AI can help public health officials better understand the effects of environmental factors, healthcare policies, and social factors on health outcomes. Financial companies can also discover causal risk factors for loan defaults and simulate the effects of interventions.

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What is explainable AI? The key to closing the AI confidence gap

Dynatrace

For instance, finance and healthcare applications may need to meet regulatory requirements involving AI tool transparency. In a perfect world, a robust AI model can perform complex tasks while users observe the decision process and audit any errors or concerns. The post What is explainable AI?

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

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