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Google Cloud Next 2024: AI innovation for Google Cloud

Dynatrace

In today’s rapidly evolving landscape, incorporating AI innovation into business strategies is vital, enabling organizations to optimize operations, enhance decision-making processes, and stay competitive. The annual Google Cloud Next conference explores the latest innovations for cloud technology and Google Cloud.

Google 264
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Dynatrace unveils Security Analytics to elevate threat detection, forensics, and incident response

Dynatrace

A traditional log-based SIEM approach to security analytics may have served organizations well in simpler on-premises environments. Security Analytics and automation deal with unknown-unknowns With Security Analytics, analysts can explore the unknown-unknowns, facilitating queries manually in an ad hoc way, or continuously using automation.

Analytics 220
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Artificial Intelligence in Cloud Computing

Scalegrid

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making. These services are tailored to meet various business requirements.

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What is application security monitoring?

Dynatrace

This approach can determine malicious activity and block it by monitoring the flow of data within the application, all the way from the user to the database. This process may involve behavioral analytics; real-time monitoring of network traffic, user activity, and system logs; and threat intelligence.

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Intelligent, context-aware AI analytics for all your custom metrics

Dynatrace

Seamlessly report and be alerted on non-topology-related custom metrics, using Dynatrace as a metric database. Our latest innovation for detecting anomalies in metrics, topology-aware Davis-AI auto-adaptive baselining, is unique in that it adapts to changing metric behavior over time, thereby helping you to avoid false-positive alerts.

Metrics 245
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How multicloud observability boosts cloud performance at Tractor Supply Co.

Dynatrace

Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. Rural lifestyle retail giant Tractor Supply Co. ” Three years ago, Tractor Supply Co.

Cloud 173
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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. Enterprises that fail to adapt to these innovations face extinction.

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