Name: Azure Anomaly Detector
Rating: 8.9 (4 reviews)
Author: Microsoft

Call Center Workforce Optimization

Help Desk

Web and Video Conferencing

Customer Support

Mobile App Development

Development

Business Intelligence (BI)

Collaboration

Data Discovery and Visualization

Document Management

Dropshipping

Integrated Workplace Management (IWMS)

Enterprise

Accounting

Payment Gateway

Spend Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Course Authoring

Employee Monitoring

Employee Performance Management

HR Management

Payroll

Professional Employer Organizations (PEO)

Recruitment Agency

Recruitment Automation

Succession Planning

Talent Intelligence

Talent Management

Video Interview

Workforce Analytics

Workforce Management

eLearning Content

Human Resources

C/C++ Integrated Development Environments

Cloud Storage

Compliance Consulting

Configuration Management Databases

Data Quality

Distributed Denial of Service (DDoS) Protection

Fraud Detection

IT Alert Management

In-Memory Databases

Infrastructure-as-Code (IaC)

Integration Platform as a Service (iPaaS)

Network Performance Monitoring

Remote Monitoring and Management

Tower Servers

Virtual Private Network (VPN)

Zero Trust Security Solutions

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Competitive Intelligence

Consumer Ratings & Reviews

Content Management

Email Marketing

Email Testing

Market Intelligence

Marketing Automation

Presentation

Social Media Advertising

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Field Sales Software

Multichannel Retail

Sales

Antivirus

Certificate Lifecycle Management

Secure Access Service Edge (SASE)

User and Entity Behavior Analytics (UEBA)

Security

Car Rental

Home Health Care

Insurance Agency Management

Legal Research

Library Management

Vertical-Specific

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Anomaly Detector on Microsoft's Azure is an AI service that helps foresee problems. Users can embed time-series anomaly detection capabilities into apps to help users identify problems quickly. Anomaly Detector ingests time-series data of all types and selects the best anomaly detection algorithm for the data to support high accuracy. Detect spikes, dips, deviations from cyclic patterns, and trend changes through both univariate and multivariate APIs. The service can be customized to detect any level of anomaly, and it can be deployed from the cloud or at the edge as needed.

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Azure Anomaly Detector

Streaming Analytics is performing analytic computations on data streaming from devices, sensors, websites, social media, applications, infrastructure systems, and more. This category of tools is an evolution of Complex Event Processing (CEP) software, designed specifically for the big data era.

Streaming Analytics

Introducing Azure Anomaly Detector

Do more with less. At Microsoft we empower people and businesses throughout the world realize their full potential and achieve more. We make this simple mission come to life every day through our passion to create technologies and develop products that touch just about every kind of customer. With Microsoft for Nonprofit, we offer industry leading products as standalone solutions, but they're even better when used together. Our modular and extensible cloud platform allows your organization to start with your needs and adapt as you grow. These solutions provide foundational systems ranging from security and business applications to modern work tools and data and AI integration. Support you donors, volunteers, and constituents with tools and applications that help improve fundraising, engagement, training, data intelligence and much more. With Microsoft for Nonprofit we're here to help your organization expand beyond the boundaries and do more with less.

Streaming Analytics is performing analytic computations on streaming data. Data streams can come from devices, sensors, websites, social media, applications, infrastructure systems, and more.

Real-Time Data Analysis

Visualization Dashboards

Easy-to-understand pictorial illustration of data with graphs charts and dashboards

Data Ingestion from Multiple Data Sources

Ability to ingest data from many sources including Internet of Things (IoT) endpoint data, stock trading data etc, as well as static data

Low Latency

How many milli-seconds or seconds it takes to ingest, analyze and respond to an incoming event or
data-point

Integrated Development Tools

Tools to allow developers to rapidly create streaming applications via a graphical user interface and selection of predefined
functions and operators

Data wrangling and preparation

Tools to rapidly prepare data for analysis by normalization, data cleansing, etc.

Linear Scale-Out

Easy to scale out or scale down by visually changing the resource allocation. This allows changes in load or traffic to be handled without interruptions

Machine Learning Automation

Machine learning helps automate predictive scoring on streaming data

Data Enrichment

Ability to enrich the data stream with static reference data

TrustRadius is a technology and business research firm based in Austin, Texas. The company is known as a review platform for verified B2B technology and software reviews through a proprietary algorithm and human verification.

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Streaming Analytics Software

Azure Anomaly Detector

Overview

What is Azure Anomaly Detector?