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Navigate end-to-end data compliance through effective log management

Dynatrace

This holistic approach is particularly critical in industries handling sensitive data, such as the healthcare and financial sectors. These logs contain sensitive healthcare data. Build trust with your customers: Consumer trust is vital in sectors like e-commerce and healthcare.

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AI Advancement for API and Microservices

DZone

Recent AI advancements in API technology involve enhancing natural language processing capabilities, improving algorithmic decision-making through reinforcement learning, and expanding AI integration across diverse sectors like healthcare, finance, and e-commerce to create more intelligent, adaptable, and tailored API solutions.

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. Query Optimization.

Big Data 321
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My (Seemingly) Random Walk to Netflix

The Netflix TechBlog

Whether they worked at a manufacturer for very large industrial ventilation systems , or in finance, healthcare, or elsewhere in tech (big or small), most people on my team have unique paths to their current positions at Netflix. BOOM, I finally figured out what I was supposed to be doing.

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

Dynatrace

Healthcare. Software project managers can optimize development processes by analyzing workflow data, such as development time, code commits, and testing phases. For example, causal AI can help public health officials better understand the effects of environmental factors, healthcare policies, and social factors on health outcomes.

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

Dynatrace

In a perfect world, a robust AI model can perform complex tasks while users observe the decision process and audit any errors or concerns. For instance, finance and healthcare applications may need to meet regulatory requirements involving AI tool transparency. Explainable AI methodologies are still in the early stages of development.

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New analytics capabilities for messaging system-related anomalies

Dynatrace

Messaging systems can significantly improve the reliability, performance, and scalability of the communication processes between applications and services. In traditional or hybrid IT environments, messaging systems are used to decouple heavyweight processing, buffer work, or smooth over spiky workloads. Dynatrace news.

Analytics 246