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Description
AIOps, or Artificial Intelligence for IT Operations, can be understood through its foundational definition by its creators, despite the various interpretations available online. As defined by Gartner, Inc., AIOps platforms leverage extensive datasets, contemporary machine learning, and advanced analytical technologies to enhance IT operations—such as monitoring, automation, and service desk functions—by providing proactive, personalized, and dynamic insights. These platforms facilitate the simultaneous use of diverse data sources, various data collection methods, and real-time as well as in-depth analytical technologies, which are essential for effective presentation. The essence of AIOps lies in employing artificial intelligence to manage IT environments proactively, making the most of the continuous data generated within the IT ecosystem. Ultimately, AIOps represents a significant evolution in the way organizations can optimize their operational efficiency and responsiveness to challenges.
Description
Selector’s software-as-a-service leverages machine learning and natural language processing to deliver self-service analytics that facilitate immediate access to actionable insights, significantly decreasing mean time to resolution (MTTR) by as much as 90%. This innovative Selector Analytics platform harnesses artificial intelligence and machine learning to perform three critical functions, equipping network, cloud, and application operators with valuable insights. It gathers a wide array of data—including configurations, alerts, metrics, events, and logs—from diverse and disparate data sources. For instance, Selector Analytics can extract data from router logs, device performance metrics, or configurations of devices within the network. Upon gathering this information, the system normalizes, filters, clusters, and correlates the data using predefined workflows to generate actionable insights. Subsequently, Selector Analytics employs machine learning-driven data analytics to evaluate metrics and events, enabling automated detection of anomalies. In doing so, it ensures that operators can swiftly identify and address issues, enhancing overall operational efficiency. This comprehensive approach not only streamlines data processing but also empowers organizations to make informed decisions based on real-time analytics.
API Access
Has API
API Access
Has API
Integrations
Amazon CloudWatch
Elastic Cloud
GitHub
GitLab
Google Cloud Platform
Grafana
Humio
Jira
Microsoft Teams
MongoDB
Integrations
Amazon CloudWatch
Elastic Cloud
GitHub
GitLab
Google Cloud Platform
Grafana
Humio
Jira
Microsoft Teams
MongoDB
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Larsen & Toubro Infotech
Founded
1996
Country
India
Website
www.lntinfotech.com
Vendor Details
Company Name
Selector
Country
United States
Website
www.selector.ai/product/
Product Features
Application Performance Monitoring (APM)
Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions
Product Features
Network Monitoring
Bandwidth Monitoring
Baseline Manager
Diagnostic Tools
IP Address Monitoring
Internet Usage Monitoring
Real Time Analytics
Resource Management
SLA Monitoring
Server Monitoring
Uptime Monitoring
Web Traffic Reporting