直击达沃斯｜对话腾讯汤道生：要以长期主义、务实进取的态度拥抱AI

Core Insights - The focus of AI discussions has shifted from model capabilities to the ability of companies to integrate AI into their core business processes as AI becomes more accessible [1][11] - The true competitive edge lies in the systematic integration of models, data, business processes, and industry knowledge [1][11] Group 1: Systematic Integration Capability - Companies must identify high-frequency, high-value business scenarios to effectively embed AI capabilities into their workflows [3][13] - Long-term competitiveness is derived from the accumulation of data and industry know-how, emphasizing the importance of data governance [3][13] - The cost-effectiveness and engineering capabilities of AI deployment are crucial for its sustainability in business systems [3][13] Group 2: Challenges in AI Implementation - Many companies face challenges in realizing the benefits of AI due to misalignment between business goals and technical capabilities [4][15] - Data quality and governance are often underestimated, leading to ineffective AI projects [4][15] - The lack of interdisciplinary talent and inadequate organizational structures hinder the successful integration of AI into daily operations [4][16] Group 3: Strategic Approaches - Companies should adopt a "small steps, quick wins" strategy, focusing on validating small core scenarios while prioritizing data governance [6][16] - A long-term, pragmatic approach is necessary for embracing AI, avoiding the pitfalls of overestimating short-term progress [6][16] Group 4: Dual Strategy of Self-Development and Open Source - The company will maintain a dual strategy of self-developed and open-source models, which is seen as essential for the future AI ecosystem [7][17] - The coexistence of multiple models and scenarios is anticipated, with cloud providers offering a stable technical foundation for flexible combinations [7][17] Group 5: Globalization and Compliance - Compliance has become a prerequisite for market entry and building trust, shifting from a backend legal concern to a strategic asset [9][19] - Sustainable globalization requires deep localization and ecosystem co-construction, moving beyond a one-size-fits-all product approach [9][19] - The company has seen significant growth in its international cloud business, doubling its global customer base over the past year [10][20]