Azure AI Metrics Advisor Description
Incorporate AI-driven monitoring capabilities to proactively manage incidents without needing expertise in machine learning. With Azure AI Metrics Advisor, which leverages AI Anomaly Detector and is part of Azure AI Services, you can oversee the performance of crucial aspects of your organization, such as sales and manufacturing operations. This tool enables rapid identification and resolution of issues through a robust set of features that includes near-real-time monitoring, model adaptation to your specific circumstances, and detailed diagnostics alongside alerting mechanisms. The AI Metrics Advisor interface simplifies end-to-end data monitoring management, seamlessly integrating with popular time-series databases and offering support for stream monitoring. Every dimension combination is thoroughly examined to identify impacted areas for root-cause analysis and alerts are dispatched promptly. Additionally, the platform includes a guided autotuning feature that allows for service customization tailored to your individual requirements, ensuring optimal performance. This comprehensive monitoring solution empowers organizations to enhance their operational efficiencies while minimizing downtime.
Azure AI Metrics Advisor Alternatives
ManageEngine OpManager
OpManager is the ideal end-to-end network monitoring tool for your organization's network. With OpManager, you can keep a close eye on health, performance, and availability levels of all network devices. This includes monitoring switches, routers, LANs, WLCs, IP addresses and firewalls.
Insights into your hardware health and performance; monitor CPU, memory, temperature, disk usage, and more to improve efficiency.
Seamlessly manage faults and alerts with instant notifications and detailed logs.
Streamlined workflows facilitate easy set-up to execute quick diagnosis and corrective measures.
The solution also comes with powerful visualization tools such as business views, 3d data center views, topology maps, heat maps, and customizable dashboards.
Get proactive in capacity planning and decision-making with over 250 predefined reports covering all important metrics and areas in your network.
Overall, OpManager's detailed management capabilities make it the ideal solution for IT administrators to achieve network resiliency and efficiency.
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KPI Fire
KPI Fire helps companies organize and quantify improvement projects that support strategic objectives and key performance metrics. KPI Fire is ideal for companies driving a Continuous Improvement, Operational Excellence, Lean, Six Sigma, or Cost Savings Initiative.
KPI Fire saves time and provides a simple way for companies to be accountable for investments of time and money into cost savings or improvement initiatives.
KPI Fire replaces bloated & complex spreadsheets and templates and organizes your continuous improvement program in a way that you wish you had time to do yourself.
Features & Use Cases:
Continuous Improvement/ Cost Savings Portfolio Management.
KPI Fire is an excellent solution for managing a CI program with idea solicitation, project initiation, and benefit tracking.
Strategy Execution:
Define the strategic initiatives and link the metrics that will be used to measure progress as well as the targets values to achieve.
Idea Funnel:
Potential projects are captured as Improvement Ideas and are prioritized based on effort vs impact and alignment with specified strategies.
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Sematext Cloud
Sematext Cloud provides all-in-one observability solutions for modern software-based businesses. It provides key insights into both front-end and back-end performance.
Sematext includes infrastructure, synthetic monitoring, transaction tracking, log management, and real user & synthetic monitoring. Sematext provides full-stack visibility for businesses by quickly and easily exposing key performance issues through a single Cloud solution or On-Premise.
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Azure AI Anomaly Detector
Anticipate issues before they arise by utilizing an Azure AI anomaly detection service. This service allows for the seamless integration of time-series anomaly detection features into applications, enabling users to quickly pinpoint problems. The AI Anomaly Detector processes various types of time-series data and intelligently chooses the most effective anomaly detection algorithm tailored to your specific dataset, ensuring superior accuracy. It can identify sudden spikes, drops, deviations from established patterns, and changes in trends using both univariate and multivariate APIs. Users can personalize the service to recognize different levels of anomalies based on their needs. The anomaly detection service can be deployed flexibly, whether in the cloud or at the intelligent edge. With a robust inference engine, the service evaluates your time-series dataset and automatically determines the ideal detection algorithm, enhancing accuracy for your unique context. This automatic detection process removes the necessity for labeled training data, enabling you to save valuable time and concentrate on addressing issues promptly as they arise. By leveraging advanced technology, organizations can enhance their operational efficiency and maintain a proactive approach to problem-solving.
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Pricing
Pricing Starts At:
$0.75 per 1,000 time series
Free Trial:
Yes
Company Details
Company:
Microsoft
Year Founded:
1975
Headquarters:
United States
Website:
azure.microsoft.com/en-us/products/ai-services/ai-metrics-advisor/
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Live Training (Online)
Webinars
Training Videos
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Azure AI Metrics Advisor Features and Options
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