Cloud Service Curation Engine for Organizational Performance
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Solution Overview
Problem
Existing technologies lack an efficient and customizable solution for organizations to identify and deploy cloud solutions tailored to specific industry verticals and performance indicators, such as revenue goals or customer retention, without requiring technical expertise.
Innovation Solution
A solution engine that curates cloud services by translating organizational performance indicators into suitable cloud solutions, utilizing historical data from industry-equivalent organizations and providing a bundle of cloud services accessible through a single interface, allowing for customization and categorization based on fitness metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cloud solutions are customized to specific organizational performance indicators and industry verticals, then solution relevance and effectiveness are improved, but system complexity and curation difficulty increase
Solution Approach 1:
The patent segments cloud services into discrete curatable units with specific functionalities and performance metrics. Each cloud service is broken down into manageable components that can be independently evaluated, selected, and customized based on organizational needs, thereby reducing the complexity of managing customized solutions while maintaining adaptability.
Solution Approach 2:
The patent introduces a solution engine as an intermediary system that automatically curates cloud services based on organizational performance indicators. This intermediary translates high-level organizational goals into specific cloud service selections, eliminating the need for manual customization while maintaining solution relevance and effectiveness.
2Ease of operation
If cloud services are curated and translated into organizational language, then ease of operation is improved, but processing complexity and data requirements increase
Solution Approach 1:
The patent implements a self-service system where the solution engine automatically curates cloud services and translates them into organizational language without requiring manual intervention. The system autonomously processes performance indicators, evaluates cloud services, and generates customized solutions, thereby maintaining ease of operation while managing processing complexity through automation.
Solution Approach 2:
The patent transforms cloud service parameters into organizational performance metrics through automated translation. By changing the representation parameters from technical cloud service specifications to business-relevant performance indicators, the system improves accessibility while the underlying processing complexity is managed through standardized transformation algorithms.
3Reliability
If fitness metrics and historical data are used to evaluate cloud services, then solution quality and reliability are improved, but data processing requirements and time consumption increase
Solution Approach 1:
The patent performs preliminary evaluation of cloud services by pre-calculating fitness metrics and storing historical performance data. Cloud services are pre-assessed and categorized based on their potential to meet organizational performance indicators, so that when a specific organizational need arises, the solution engine can quickly retrieve and match pre-evaluated services without performing time-consuming real-time analysis.
Solution Approach 2:
The patent implements a feedback mechanism where historical data from deployed cloud services is continuously collected and used to refine fitness metric calculations. This feedback loop improves solution quality over time by learning from actual performance data, while the system manages evaluation time by using accumulated historical insights to reduce the need for extensive real-time analysis.
Data Source
AI summary
Aspects of the disclosure relate to curation of cloud services that can be included a cloud solution tailored to an organization or an environment thereof. In one aspect, the cloud services can include software applications, professional services, managed network services, and/or infrastructure services. In one aspect, curation of a cloud service can be based on fitness of the cloud service for the organization or the environment thereof. In another aspect, the curation of certain cloud services can be refined based on feedback associated with such services.