Remove news tag business-analytics
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A look at the GigaOm 2024 Radar for Cloud Observability

Dynatrace

With the Dynatrace platform, which report author Ron Williams describes as “an all-in-one observability, security, analytics, and automation platform for cloud-native, hybrid, and multicloud environments,” all your data is stored in one massively scalable data lakehouse. Both of these are critical as companies modernize to intelligence.

Cloud 244
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IT Operations: A Use Case in the 2023 Gartner Critical Capabilities for Application Performance Monitoring and Observability

Dynatrace

Data, AI, analytics, and automation are key enablers for efficient IT operations Data is the foundation for AI and IT automation. The data is stored with full context, which enables AI to deliver precise answers with speed and analytics to give rich insights with efficiency. 5) in the Gartner report. Want to learn more?

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Dynatrace extends contextual analytics and AIOps for open observability

Dynatrace

Dynatrace news. Today’s digital businesses run on heterogeneous and highly dynamic architectures with interconnected applications and microservices deployed via Kubernetes and other cloud-native platforms. Entity tagging requires an enormous amount of manual effort and is always open to interpretation.

Analytics 246
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Dynatrace OpenPipeline: Stream processing data ingestion converges observability, security, and business data at massive scale for analytics and automation in context

Dynatrace

Organizations choose data-driven approaches to maximize the value of their data, achieve better business outcomes, and realize cost savings by improving their products, services, and processes. This “data in context” feeds Davis® AI, the Dynatrace hypermodal AI , and enables schema-less and index-free analytics.

Analytics 200
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Any analysis, any time: Dynatrace Log Management and Analytics powered by Grail

Dynatrace

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Dynatrace has recognized this problem for some time, and we’ve been working hard to build a radically new approach to addressing it.

Analytics 242
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Measuring the importance of data quality to causal AI success

Dynatrace

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. Data mesh is a popular new concept that encourages the people who create data to treat it as a product to be managed like any other product. That’s where causal AI can help.

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Exploratory analytics and collaborative analytics capabilities democratize insights across teams

Dynatrace

Exploratory analytics with collaborative analytics capabilities can be a lifeline for CloudOps, ITOps, site reliability engineering, and other teams struggling to access, analyze, and conquer the never-ending deluge of big data. These analytics can help teams understand the stories hidden within the data and share valuable insights.

Analytics 208