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Description

A centralized approach driven by AI and machine learning is designed to handle vast quantities of IT-related data sourced from various platforms. This approach enhances the responsiveness of multiple teams to outages and performance issues while ensuring seamless interaction with IT service management technologies. By employing AIOps, organizations can effectively address daily IT operational challenges on a large scale, utilizing a range of advanced techniques such as machine learning, network science, combinatorial optimization, and additional computational methods. AIOps equips enterprises to manage an extensive array of IT management tasks, which includes intelligent alerting, correlating alerts, escalating alerts, automating remediation, investigating root causes, and optimizing capacity. Implementing a structured framework enables the proactive refinement of processes, resources, personnel, information, and communication channels. Continuous oversight and optimization of operations are essential, allowing for 24/7 management of IT functions. Additionally, establishing effective processes helps minimize the disruptive noise that often accompanies incident occurrences, ultimately leading to a more streamlined IT environment. This comprehensive strategy can significantly enhance overall operational efficiency and reliability.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Infraon Infinity
JSON

Integrations

Infraon Infinity
JSON

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

Infraon

Founded

2021

Country

United States

Website

infraon.io/infraon-aiops.html

Vendor Details

Company Name

Larsen & Toubro Infotech

Founded

1996

Country

India

Website

www.lntinfotech.com

Product Features

IT Management

Capacity Monitoring
Compliance Management
Event Logs
Hardware Inventory
IT Budgeting
License Management
Patch Management
Remote Access
Scheduling
Software Inventory
User Activity Monitoring

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

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