Deprecated: The each() function is deprecated. This message will be suppressed on further calls in /home/zhenxiangba/zhenxiangba.com/public_html/phproxy-improved-master/index.php on line 456 AI for Polarion - Industrial artificial intelligence for SIEMENS Polarion
Industrial AI refers to the application of AI in an industrial context, designed to meet the rigorous requirements and standards of the most demanding environments. The potential for groundbreaking advancements and enhanced efficiencies is vast. By sharing your use case, you provide valuable insights that allow us to assist you in developing and implementing tailored Industrial AI solutions.
The AI layer on top of Polarion can analyze, automate, optimize, and predict throughout the tender and RFQ lifecycle, reducing risk and costs while improving bid accuracy.
Requirements Management
Polarion AI Tender Manager is an AI-powered tool designed to map incoming requirements. These requirements are imported from source files, such as PDF , Word or Excel documents. The import process utilizes natural language processing to understand the meaning of the requirements, rather than relying on simple textual matches.
AI Powers for RFQ & Tender Management
The AI layer on top of Polarion can analyze, automate, optimize and predict throughout the tender & RFQ lifecycle.
AI Process a wide range of input formats Import: PDF’s , MS Office documents, or in structured formats like ReqIF or DOORS modules
Ai Document Auto-Segmentation Document Auto-Segmentation automatically segments PDF or MS Office documents into requirements objects (ROBs), which can be systematically managed. Import directly into Polarion ALM to be used in the requirements lifecycle.
AI Topic Recognition AI analyzes all Requirements Objects (ROBs) for their specific topics inside. Users can easily cluster all Requirements Objects within an RFQ or tender across all documents.
Tender Compare Inherit full RFQ or tender evaluations from very similar historical projects.
AI Semantic Similarity Each Requirement Object is semantically linked to its cluster of similar requirements in the system. A user can navigate to all similar requirements and look up who was the responsible expert or how it was solved.
AI Department Assignment AI analyzes all Requirements Objects (ROBs) for their domains. Based on the single or multiple domains responsibilities are assigned to the related departments.
AI Risk Management AI automatically analyzes the risk of each Requirement Object (ROB) and a risk profile is calculated. Risk management workflows make sure the risk is systematically managed throughout the evaluation process.
Document Update and Document Compare New versions of an RFQ, tender or contract, or requirements specification now systematically will trigger and run an update process. All requirements evaluations can be relocated from the old into the new version. Easily see what changed. Differences between old and new Requirement Objects are shown.
AI Monitoring of Value KPIs AI measures to continuously monitor the value KPIs and the adoption of the value use cases.
AI Auto Commenting AI proposes deviation or clarification comments towards customers based on company policies or based on the same or very similar requirements in the system.
Requirements evaluation workflow and dashboards Bid managers and subject matter experts are integrated into a uniform workflow and evaluate collaboratively all requirements. Progress, project risk, and the status of the compliance matrix can be flexibly monitored in dashboards and reports.
