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Data Party THU
Data Party THU
Nov 22, 2025 · Industry Insights

Future of Data Market Infrastructures: Open, Decentralized & Commercial Insights

This article examines four typical data market infrastructure paradigms—open public, decentralized on‑chain, commercial centralized, and sovereign/regulatory—analyzing Common Crawl, Chainlink, AWS/Snowflake marketplaces, and EU data spaces, comparing them against PFMI principles, and outlining their strengths, weaknesses, and future evolution toward agent‑driven ecosystems.

AIBlockchainData Market
0 likes · 33 min read
Future of Data Market Infrastructures: Open, Decentralized & Commercial Insights
DataFunSummit
DataFunSummit
Dec 13, 2024 · Big Data

Data Trust as a Solution for Data Element Circulation: Ecosystem Analysis, Policies, and Practices

This article examines data as a key production factor, analyzes the data‑element ecosystem, explains data‑trust concepts and solutions, reviews relevant policies and market structures, and presents domestic and international practices and case studies illustrating how data trusts can facilitate secure, efficient data circulation and fair benefit distribution.

Big DataData AssetsData Market
0 likes · 15 min read
Data Trust as a Solution for Data Element Circulation: Ecosystem Analysis, Policies, and Practices
DataFunTalk
DataFunTalk
Oct 28, 2023 · Big Data

Insights from the First Data Governance Forum: Challenges, Opportunities, and the Role of Large AI Models

The first Data Governance Forum in Shanghai highlighted the intertwined challenges of data quality, compliance, and integration, emphasized the mutual reinforcement between large AI models and data governance, and presented perspectives from industry, academia, and legal experts on how to advance data as a strategic production factor.

Data GovernanceData Marketenterprise strategy
0 likes · 21 min read
Insights from the First Data Governance Forum: Challenges, Opportunities, and the Role of Large AI Models
DataFunSummit
DataFunSummit
Jan 21, 2023 · Big Data

Building and Evolving Data Management Systems: From IT to DT Era, Standards, Models, and Marketization

This article outlines the evolution of data management in the big‑data era, covering the history of the industry, key governance frameworks such as DMBOK, DCMM and DMM, the steps to construct a data‑management system, the requirements for a data‑factor market, and an introduction to the DataEasy company and its services.

Big DataDCMMDMBOK
0 likes · 15 min read
Building and Evolving Data Management Systems: From IT to DT Era, Standards, Models, and Marketization