Integrating Data with AI and Large Models to Build Enterprise Intelligence

By leveraging Artificial Intelligence (AI) and Large Language Models (LLMs) on the foundation of data assetization and centralized storage, enterprises can achieve intelligent decision-making, automated business processes, and data-driven innovation. This enables them to build unique competitive advantages in the era of intelligence. The following discussion delves into how data integrates with AI...

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Comprehensive Analysis of Data Assetization and Enterprise Data Asset Construction

Data has become one of the most critical assets for enterprises. Data assetization and centralized data storage are key pathways for digital transformation. Drawing on HaxiTAG’s enterprise services and practical experience in Data Intelligence solutions, this analysis explores the objectives, concepts, necessity, implementation methods and pathways, value and utility, as well as potential issues and...

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Unlocking the Full Potential of Data: HaxiTAG Data Intelligence Drives Enterprise Value Transformation

In an era where data-driven decision-making reigns supreme, enterprises are increasingly seeking more efficient ways to extract valuable insights from their vast data assets. According to IDC forecasts, by 2024, unstructured data—such as PDFs, emails, and large datasets—will account for 93% of all enterprise data. This trend underscores the critical importance of data management and intelligence,...

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Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversations

This research report, 《Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversations》, authored by the Anthropic team, presents a systematic analysis of AI usage patterns in economic tasks by leveraging privacy-preserving data from millions of conversations on Claude.ai. The study aims to provide empirical insights into how AI is integrated into different occupational...

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