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What is Azure AI Anomaly Detector?

Anticipate challenges before they occur by utilizing the Azure AI anomaly detection service, which integrates time-series anomaly detection capabilities into your applications, enabling quick identification of issues. This AI-driven Anomaly Detector analyzes various time-series datasets and smartly selects the most effective algorithm for anomaly detection, ensuring high accuracy. It can detect anomalies like spikes, drops, deviations from normal patterns, and shifts in trends through univariate and multivariate APIs. Additionally, the service can be customized to recognize different severity levels of anomalies tailored to your requirements. You also have the option to implement the anomaly detection service in the cloud or at the intelligent edge, based on your needs. With a powerful inference engine that assesses your time-series information, the service independently determines the best anomaly detection algorithm for your context, enhancing precision. This automated detection mechanism minimizes the dependency on labeled training data, allowing you to save time and focus on addressing emerging issues, which ultimately leads to enhanced operational efficacy. By harnessing this innovative tool, organizations can take a proactive approach to managing potential interruptions and refine their strategies for response. This capability not only improves organizational resilience but also fosters a culture of continuous improvement in operations.

What is Anodot?

Anodot harnesses the power of AI to provide autonomous analytics on an enterprise scale, accommodating all types of data in real-time. Our platform empowers business analysts to gain control over their operations, transcending the constraints of conventional Business Intelligence. Operating continuously, our self-service AI technology eradicates blind spots, sends alerts for incidents, and aids in root cause investigations. Utilizing patent-pending machine learning algorithms, the platform accurately identifies problems and correlates them across various parameters, thereby eliminating delays in business insights and facilitating rapid, informed decision-making. Anodot caters to more than 100 clients in the digital transformation sector, including notable names like Microsoft, Lyft, and Waze, spanning industries such as eCommerce, FinTech, AdTech, telecommunications, and gaming. Founded in 2014 with roots in Silicon Valley and Israel, Anodot also maintains a presence with sales offices globally, demonstrating its commitment to serving a diverse international clientele. As the demand for agile analytics grows, Anodot continues to innovate and expand its offerings.

Media

Media

Integrations Supported

Azure AI Metrics Advisor
Bing
Blink
CTM360
Crestwood Cloud
Google Analytics
Microsoft Azure
Microsoft Office 2021
Mixpanel
Teamstack
Zenduty
groundcover

Integrations Supported

Azure AI Metrics Advisor
Bing
Blink
CTM360
Crestwood Cloud
Google Analytics
Microsoft Azure
Microsoft Office 2021
Mixpanel
Teamstack
Zenduty
groundcover

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/ai-services/ai-anomaly-detector/

Company Facts

Organization Name

Anodot

Date Founded

2014

Company Location

Silicon Valley

Company Website

www.anodot.com

Categories and Features

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Business Intelligence

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

System Monitoring

Alerts / Notifications
Antivirus Management
Data Backup / Recovery
Device Monitoring
Inventory Management
Patch Management
Policy-based Automation
Remote Monitoring
Reporting / Analytics
Risk Analysis
Server Monitoring
Service Configuration Management

Web Analytics

Campaign Management
Conversion Tracking
Form Analytics
Goal Tracking
Keyword Tracking
Multiple Site Management
Pageview Tracking
Referral Source Tracking
Site Search Tracking
Time on Site Tracking
User Interaction Tracking

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