PwC Model Edge Description
Model Edge supports the comprehensive lifecycle of models by simplifying the management, development, validation, and governance of your entire portfolio, including AI, all from a single platform. By streamlining operations, Model Edge enhances your confidence in the program through essential tools that demonstrate model effectiveness and explainability to both internal and external stakeholders. The platform features robust model recording and documentation capabilities within a unified environment. Additionally, it offers a complete inventory of models along with an audit trail that monitors historical and real-time modifications and updates. Utilize a centralized cloud-based environment to oversee every phase of a model’s lifecycle, from its initial conception to full implementation. You can effectively manage your workflows for model development and validation while also monitoring progress across various programs, ensuring that each step is tracked and optimized. This comprehensive approach not only fosters better collaboration but also enhances accountability throughout the model management process.
PwC Model Edge Alternatives
Innoslate
SPEC Innovations’ leading model-based systems engineering solution is designed to help your team minimize time-to-market, reduce costs, and mitigate risks, even with the most complex systems. Available as both a cloud-based and on-premise application, it offers an intuitive graphical user interface accessible through any modern web browser.
Innoslate's comprehensive lifecycle capabilities include:
• Requirements Management
• Document Management
• System Modeling
• Discrete Event Simulation
• Monte Carlo Simulation
• DoDAF Models and Views
• Database Management
• Test Management with detailed reports, status updates, results, and more
• Real-Time Collaboration
And much more.
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AnalyticsCreator
Accelerate your data journey with AnalyticsCreator—a metadata-driven data warehouse automation solution purpose-built for the Microsoft data ecosystem. AnalyticsCreator simplifies the design, development, and deployment of modern data architectures, including dimensional models, data marts, data vaults, or blended modeling approaches tailored to your business needs.
Seamlessly integrate with Microsoft SQL Server, Azure Synapse Analytics, Microsoft Fabric (including OneLake and SQL Endpoint Lakehouse environments), and Power BI. AnalyticsCreator automates ELT pipeline creation, data modeling, historization, and semantic layer generation—helping reduce tool sprawl and minimizing manual SQL coding.
Designed to support CI/CD pipelines, AnalyticsCreator connects easily with Azure DevOps and GitHub for version-controlled deployments across development, test, and production environments. This ensures faster, error-free releases while maintaining governance and control across your entire data engineering workflow.
Key features include automated documentation, end-to-end data lineage tracking, and adaptive schema evolution—enabling teams to manage change, reduce risk, and maintain auditability at scale. AnalyticsCreator empowers agile data engineering by enabling rapid prototyping and production-grade deployments for Microsoft-centric data initiatives.
By eliminating repetitive manual tasks and deployment risks, AnalyticsCreator allows your team to focus on delivering actionable business insights—accelerating time-to-value for your data products and analytics initiatives.
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Focus
Focus is a central tool that improves model governance transparency, efficiency, effectiveness, and transparency. Focus helps you to adhere to the best practices for regulatory requirements in a controlled and systematic way. To ensure you are on the right track, define and follow policy and processes. Keep detailed records, report and remediate to ensure that you do not forget. It allows for easy, controlled access of all models, reports, documents, and up-to-the minute status, tasks, and actions dashboards. This facilitates better prioritization, resource planning, and a single, practical solution.
- Model dependencies, taxonomy and defined data
- Centralised model inventory
- Model risks identified and remediation plans tracked
- Model lifecycle events, workflow management
- Full audit trail, tracking, and reporting
- User configurable reporting/querying
- Flexibility in implementation
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Yields.io
Enhance the efficiency of your model lifecycle confidently by utilizing our AI-powered model risk management technology, the Chiron MRM Platform, which automates real-time model validation and monitoring. The process of validating models can often be both time-consuming and expensive. However, with our enterprise risk management solutions, clients can decrease validation costs by up to tenfold. Chiron's advanced monitoring features facilitate the early identification of potential model failures, which contributes to the development of superior models and diminished capital requirements. To ensure that models can be relied upon for decision-making, it is essential to maintain a clear and auditable perspective on the models implemented in your organization. Chiron Enterprise provides a tailored model inventory that tracks all models throughout their lifecycle, alongside a flexible workflow engine designed to optimize processes. By scaling your model risk operations, you can enforce organized and consistent workflows across your teams, ultimately driving better outcomes for your organization. Moreover, this comprehensive approach supports a culture of accountability and continuous improvement in model management.
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Integrations
No Integrations at this time
Company Details
Company:
PwC
Year Founded:
1998
Headquarters:
United Kingdom
Website:
www.pwc.com/us/en/products/model-edge.html
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Product Details
Platforms
Web-Based
Types of Training
Live Training (Online)
Customer Support
Online Support
PwC Model Edge Features and Options
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