从可用到可信，明略科技(2718.HK)如何定义下一代企业AI核心能力？

Core Insights - The article emphasizes the transition from merely adopting AI to effectively utilizing it, predicting that by 2026, 5 billion people will use AI daily, highlighting its evolution into a core productivity driver [1][12]. Group 1: AI Adoption Challenges - Companies face significant challenges in AI implementation, including doubts about AI's value, with 37% of enterprises expressing skepticism despite projected spending growth [2]. - Key bottlenecks hindering AI's transition from experimentation to large-scale application include uncontrollable model outputs, unreliable data sources, and inadequate security mechanisms [2][3]. Group 2: Trustworthy AI Framework - Trustworthy AI is defined as the ability to meet stakeholder expectations in a verifiable manner, with a formula proposed: Trustworthy Productivity = Trustworthy Models + Trustworthy Data [4]. - Trustworthy models require not only technical capabilities but also the ability to systematically solve complex problems through trustworthy task planning [4][5]. Group 3: Importance of Trustworthy Data - Trustworthy data is crucial for achieving trustworthy AI, with its reliability ensured through identifying credible data sources and efficiently extracting necessary information [6][7]. - The authority of data sources and the reliability of data acquisition methods are often overlooked factors that significantly impact decision quality [8]. Group 4: Data Source System - The company has established a multi-tiered, high-standard trustworthy data source system, including access to over 1,000 authoritative institutions for macroeconomic and industry data [9]. - It also integrates professional third-party data and enterprise-specific data to provide a comprehensive view of business operations [10]. Group 5: Security and Collaboration Mechanisms - The company prioritizes architecture design over functional promises, ensuring that AI systems can be deployed in a controlled environment to maintain data security [11]. - In critical business decision scenarios, human experts retain final decision-making authority, with AI serving as an efficient execution assistant [11]. Group 6: Practical Applications and Future Outlook - Successful applications of AI have been demonstrated, such as a marketing agency increasing creative material effectiveness from 30% to 70% through predictive testing [12]. - As AI technology continues to permeate industries, the competition will shift from merely having AI to possessing superior AI capabilities, making trustworthy AI a critical component of digital transformation [12].