AVEVA Predictive Analytics | AI Agent | Alternates | Alternates - AI Agent Discovery Platform

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AVEVA Predictive Analytics

Name: AVEVA Predictive Analytics
Price: Contact for Pricing USD
Author: Aveva

Backed By Aveva

AI-powered predictive analytics for early equipment failure detection and operational efficiency.

Data & Analytics

Overview

AVEVA Predictive Analytics leverages advanced pattern recognition, machine learning, and neural network algorithms to monitor equipment health and predict failures before they occur. The platform learns each asset’s unique operating profile, analyzes real-time and historical data, and alerts users to subtle deviations from expected behavior. It provides root cause analysis, fault diagnostics, and actionable insights for reliability, efficiency, and performance improvements. The solution is scalable from single assets to enterprise-wide deployments and integrates with a variety of data historian and control systems, supporting both on-premise and cloud deployments.

Use Cases

Detects subtle deviations from normal equipment behavior

Provides advance notice of potential failures

Assists in identifying failure causes

Delivers actionable fault diagnostics

Monitors single assets or hundreds of remote sites

Cloud and on-premise deployment

Connects with data historians and control systems

RESTful API for business system integration

Intuitive, graphical interface

Model templates for rapid deployment

Top Integrations

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API

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Web App

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Desktop App

Product Info

Deployment Method

API-basedSaaS

Model Type

Closed Source

Support

Pricing

AVEVA Flex Subscription

Quote-based (Credit system)

Access to Predictive Analytics

Alternates Research On The Product

Top Features

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Automated Model Building

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Advanced Pattern Recognition (APR)

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Fault Diagnostics

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Time-to-Failure Forecasting

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Prescriptive Actions

Strengths

Incredible integration with PI System
Very accurate early warnings for rotating equipment
Robustness of the APR models
Ability to 'bring your own algorithm' adds flexibility

Weaknesses

If using cloud deployment, standard cloud data sovereignty risks apply
Complexity of the software can lead to it becoming 'shelf-ware' if users aren't trained properly
Reliance on a single large vendor (AVEVA/Schneider Electric) for critical infrastructure
High upfront investment (or committed subscription) before ROI is proven
Recurring complaints about the complexity of the new 'AVEVA Flex' credit licensing model

Reviews From The Web

Real user experiences from across different platforms

AVEVA Predictive Analytics has saved us millions by catching bearing failures on our main turbines weeks before they vibrated apart. The integration with PI is seamless.

Reliability Engineer

2024-02-15

Gartner Peer Insights

Recommendations

Asset-intensive industries with high cost of downtime

ime

Organizations already using AVEVA PI System (OSIsoft PI)

ft PI)

Small manufacturing shops with non-critical equipment

ent

Companies with no historical data archives

Final Verdict

Provides early warning of equipment failure (days, weeks, or months in advance) without requiring data science expertise, significantly reducing unplanned downtime and maintenance costs.

Best For

•Asset-intensive industries with high cost of downtime
•Organizations already using AVEVA PI System (OSIsoft PI)
•Teams with dedicated reliability engineers

Watch Out For

•Lack of budget for enterprise software
•No existing data historian infrastructure
•If using cloud deployment, standard cloud data sovereignty risks apply
•Complexity of the software can lead to it becoming 'shelf-ware' if users aren't trained properly

High implementation and licensing costs suitable mainly for large enterprises Requires a significant amount of clean historical data to train accurate models Learning curve can be steep for users not familiar with the AVEVA/PI ecosystem User interface modernization has been slower compared to some cloud-native startups

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