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What is Nutanix Intelligent Operations?

NCM Intelligent Operations, formerly recognized as Prism Pro/Ultimate, significantly improves capacity management, proactively detects performance anomalies, and simplifies operational procedures with confidence. Its intuitive interface facilitates seamless optimization of virtualization and infrastructure management through advanced predictive analytics and task automation. Users can effectively enhance their daily workflows and increase productivity effortlessly, without the need for coding skills. The platform provides real-time insights into virtual machine performance, enabling swift identification of irregularities and the implementation of automated resolutions. It also helps users understand capacity utilization, project future demands, and reveal inefficiencies within their systems. By utilizing machine learning methodologies, the solution effectively predicts capacity trends and suggests resource enhancements. When it identifies infrastructure issues, it automatically generates alerts and initiates intelligent remediation processes. Instead of depending on a single algorithm, X-FIT utilizes a variety of models in a competitive, tournament-style approach to determine the most suitable one for each unique environment, thereby ensuring optimized operations and enhanced results. This cutting-edge strategy not only boosts overall performance but also drastically minimizes the time dedicated to manual monitoring and management tasks. As a result, organizations can focus on strategic initiatives rather than getting bogged down in routine operational challenges.

What is Fountain9 Kronoscope?

Stay ahead of the changing preferences of your clientele by utilizing accurate demand forecasts and stock-out predictions. Our innovative platform, Kronoscope, consistently tracks demand fluctuations, allowing for swift responses that prevent overstocking while guaranteeing that customers can always access the products they desire. By employing a blend of sophisticated machine learning and deep learning techniques, Kronoscope generates a customized model for each SKU across numerous stores, warehouses, or distribution channels. Our specialized algorithms identify diverse patterns, including seasonality, cannibalization, and substitution effects, which significantly improves the precision of our forecasts. There is no requirement for manual interventions, as the models independently retrain to adapt to new demand dynamics, detect anomalies, and reduce historical variability. Furthermore, Kronoscope provides natural language insights into unusual occurrences, major drivers of demand shifts, and high-impact products, among other critical data. You can also refine your demand predictions by analyzing how promotions, marketing efforts, and various other operational factors influence customer demand. This all-encompassing strategy ensures that your inventory management practices stay in sync with the most current market trends and consumer behaviors. Ultimately, Kronoscope empowers businesses to make informed decisions, fostering a more responsive and efficient supply chain.

Media

Media

Integrations Supported

Checkmk
Netreo
Nutanix Cloud Platform

Integrations Supported

Bchex

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

Not specified

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Online Training

Company Facts

Organization Name

Nutanix

Date Founded

2009

Company Location

United States

Company Website

www.nutanix.com/products/cloud-manager/intelligent-operations

Company Facts

Organization Name

Fountain9

Date Founded

2019

Company Location

India

Company Website

www.fountain9.com

Categories and Features

Data Center Management

Multi-Platform

IT Management

Not specified

Categories and Features

Demand Planning

Not specified

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