Asset Portfolio Dashboards With Prioritized Remote Actions
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Solution Overview
Problem
Traditional data analytics and digital transformation of asset data require significant human interaction and are inefficient, especially when managing large portfolios of assets, as they often involve manual configuration of dashboards and limited time for data modeling, leading to suboptimal use of computing resources.
Innovation Solution
A system comprising processors and memory with programs that generate dashboard visualizations for asset portfolios by aggregating data, determining contextual information, and prioritizing actions, allowing for remote monitoring and management of assets through a unified platform that integrates disparate systems and provides real-time insights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual configuration and human interaction are used for data analytics and dashboard generation, then customization and flexibility are improved, but productivity and efficiency deteriorate
Solution Approach 1:
The system enables automated self-service through AI/ML models that automatically ingest data, generate insights, and create dashboard visualizations without requiring manual human configuration. The automated insight generation system processes asset data, determines contextual information, and produces prioritized actionable insights autonomously, resolving the contradiction by eliminating manual intervention while maintaining high adaptability through configurable parameters and flexible output formats.
2Measurement precision
If more time is spent on data modeling and analysis, then measurement precision and insight quality are improved, but loss of time and productivity deteriorate
Solution Approach 1:
The system performs preliminary automated data processing and insight generation in advance, continuously monitoring asset data and pre-computing actionable insights before they are needed. The automated system maintains up-to-date contextual information and prioritized insights ready for immediate retrieval, eliminating the need for time-consuming on-demand analysis while maintaining high insight quality through continuous background processing.
Solution Approach 2:
The system dynamically adjusts processing parameters and computational depth based on data characteristics and user needs. The AI/ML models automatically optimize analysis depth, data sampling rates, and computational resources allocated to different assets, achieving high measurement precision for critical assets while reducing time spent on less critical ones, thus resolving the time-quality tradeoff.
3Power
If computing resources are allocated to manual data analytics processes, then analysis capability is improved, but resource utilization efficiency deteriorates
Solution Approach 1:
The system replaces manual mechanical data analysis processes with automated AI/ML-based computational systems. Instead of human analysts manually processing data, the system uses machine learning models, automated insight generation algorithms, and intelligent data processing pipelines that require less computational overhead for the same or better analysis capability, thereby improving resource utilization efficiency while maintaining strong analysis capability.
Data Source
AI summary
Various embodiments described herein relate to remote monitoring and management of assets from a portfolio of assets. In this regard, a request to generate a dashboard visualization associated with a portfolio of assets is received. The request includes an asset descriptor that describes one or more assets in the portfolio of assets. In response to the request, aggregated data associated with the portfolio of assets is obtained based on the asset descriptor. Contextual data is determined for the portfolio of assets based on attributes for the aggregated data. Based on the contextual data, prioritized actions for the portfolio of assets are determined. Furthermore, the dashboard visualization is provided to an electronic interface of a computing device, the dashboard visualization comprising the prioritized actions for the portfolio of assets. In certain embodiments, the dashboard visualization is configured to provide remote control of at least one asset based on the prioritized actions.