Summary of An Ai-driven Data Mesh Architecture Enhancing Decision-making in Infrastructure Construction and Public Procurement, by Saurabh Mishra et al.
An AI-Driven Data Mesh Architecture Enhancing Decision-Making in Infrastructure Construction and Public Procurement
by Saurabh Mishra, Mahendra Shinde, Aniket Yadav, Bilal Ayyub, Anand Rao
First submitted to arxiv on: 29 Nov 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Databases (cs.DB); Multiagent Systems (cs.MA)
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Summary difficulty | Written by | Summary |
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High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed integrated software ecosystem, combining Data Mesh and Service Mesh architectures, aims to revolutionize infrastructure construction by improving transparency and information access. The system utilizes large training datasets, scientific publications, activities, and risk data, structured by a systematic AI framework. It leverages large language models (LLMs) and automation to standardize diverse data sources, creating structured knowledge. This platform enables decision-making in early-stage project planning, research, market trend analysis, and qualitative assessments. Its web-scalable architecture delivers domain-curated information, facilitating reasoning and managing uncertainties. The integration of AI with domain expertise boosts efficiency and decision-making in construction and infrastructure. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary A new system is being developed to help make building projects more efficient. This system uses artificial intelligence (AI) to collect and organize huge amounts of data from various sources. It combines this data into a structured format that can be easily used by people making decisions about construction projects. The system can help with tasks like planning, research, market analysis, and evaluating the quality of buildings. Its web-based design allows it to handle large amounts of information and make connections between different pieces of data. |