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What is Predictor?

Predictor is an AI-powered asset investment planning and predictive lifecycle modeling platform developed by Siemens to help organizations make data-driven decisions about infrastructure maintenance, capital improvements, and long-term funding. The software analyzes physical asset information, including condition, age, criticality, service capacity, and historical performance, to forecast how assets are expected to deteriorate over time. Its predictive modeling engine evaluates individual components, assets, asset categories, and entire portfolios to identify maintenance needs and potential performance risks. Users can configure lifecycle strategies that define deterioration patterns, intervention thresholds, treatment options, and the expected effects of maintenance or replacement activities. Scenario modeling capabilities simulate different funding levels and investment strategies to show how budget changes affect future asset conditions, service delivery, and financial requirements. The platform helps organizations compare preventive maintenance, rehabilitation, renewal, and replacement strategies to determine cost-effective approaches for extending asset lifespans. Its capital planning tools generate long-term expenditure forecasts, recommended treatment schedules, capital works programs, and financial profiles based on available budgets and organizational priorities. Predictor provides customizable dashboards, predefined reports, and visual analytics that help asset managers communicate funding requirements and justify investment decisions to executives and other stakeholders. AI-enhanced reporting identifies trends in asset performance, projected maintenance costs, infrastructure risks, and the consequences of postponing necessary investments. Integration with Siemens Work Planner adds interactive GIS mapping, location-based project visualization, project bundling, funding allocation, and collaborative capital works planning capabilities.

What is PingOne Protect?

Protect your accounts from takeovers, fraudulent registrations, and the fatigue associated with multifactor authentication by utilizing PingOne Protect's extensive capabilities. This advanced solution evaluates multiple attack vectors, assigns risk levels, and delivers insightful data, facilitating the deployment of countermeasures that effectively block potential dangers while allowing legitimate users to authenticate with ease. By employing intelligence-based policies, PingOne Protect synthesizes results from various risk factors to create a holistic risk score. This score is associated with specific policies that determine the amount of friction experienced by users during interactions, including methods such as CAPTCHA, password resets, selfie verifications, and push notifications. To maximize the accuracy of the predictors, consolidate them, incorporate signals from outside sources, and apply overrides when necessary. The predictors include bot detection, IP velocity, user velocity, unusual velocity patterns, discrepancies in user location, IP reputation assessments, use of anonymous networks, behavioral risks, user-based risk models, detection of new devices, identification of suspicious devices, and custom or third-party predictors, all of which contribute to a robust risk management strategy. By implementing these comprehensive strategies, organizations can greatly enhance their defenses against a wide range of cyber threats and maintain user trust in their security measures. This proactive approach not only secures sensitive information but also improves the overall user experience by minimizing disruptions.

Media

Media

Integrations Supported

ArcGIS

Integrations Supported

Abstract Security
Knak
Motileo
Streamline AI
Youverse

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Siemens

Date Founded

1847

Company Location

Germany

Company Website

www.assetmanagement.siemens.com/products/predictor

Company Facts

Organization Name

Ping Identity

Date Founded

2002

Company Location

United States

Company Website

www.pingidentity.com/en/platform/capabilities/threat-protection/pingone-protect.html

Categories and Features

Categories and Features

Fraud Detection

Not specified

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