广电计量于莉莉：AI大模型竞相绽放 数据将成为重要命脉

Core Insights - The forum "Breaking Circles and Integration" highlighted the rapid transformation of the global economy driven by artificial intelligence (AI), emphasizing its integration across various sectors such as smart manufacturing, healthcare, fintech, and smart cities [1] - The shift from "model-centered" to "data-centered" AI is crucial, with data being the key determinant for the implementation of AI large models [1][6] Group 1: AI Large Models - The emergence of AI large models marks a new era in technology, characterized by a shift towards "limited computing power + algorithm innovation" as a solution to computational constraints [3] - Large models are defined as upgraded algorithm models that utilize vast amounts of data for pre-training, allowing for better results with minimal data in user environments [3][5] - The integration of large models, big data, and computing power is seen as a core driver for achieving "big intelligence," facilitating exponential data growth and unlocking significant market potential [5] Group 2: Data Management Challenges - Despite the high commercial value of data, many enterprises face significant challenges in data management, including weak awareness of data circulation, inconsistent data quality, inadequate data security compliance mechanisms, and a lack of data value assessment standards [6][7] - To address these challenges, it is essential to enhance data management capabilities through comprehensive strategies that include data asset identification, governance, security compliance, and value assessment [7] Group 3: Company Initiatives - Guangzhou Digital Technology Group's subsidiary, Guangdian Measurement, has established a comprehensive business framework that includes measurement testing, research services, evaluation consulting, planning design, and certification [7] - The company has developed a "1+8+4" service system for digital transformation consulting, which encompasses a complete value chain, eight categories of digital business practices, and four digital consulting service models [7]