IBM亚太区总经理Hans Dekkers IBM最新发布的白皮书《数字技术自主能力：时不我待，CEO采取行动以确保未来》指出，CEO应即刻 行动。数据作为当今最具价值的资产，目前99%的企业数据尚未被利用。数据将决定企业能否快速响应 本地监管、加速创新、提升生产力，并推动以工作流为中心的全面转型，从而真正实现技术、数据和运 营的自主，持续抵御网络威胁。而这一切的根基，始终在于建立并维系信任。 企业在六个方面的进展，将成为其未来竞争力的分水岭：顺应"数字自主"领域的监管变化；前瞻企业正 转向"工作流为中心"的人机协同模式；混合云提供架构基础，AI解锁数据动能；数据自主是竞争优势的 新战场；铸造抵御网络威胁的新盾牌；"信任"是人工智能的通行证。打造"自主企业"，领导者需勇敢采 取敏捷行动。 （全球TMT2026年1月9日讯）IBM亚太区总经理Hans Dekkers认为，技术不仅是关键的差异化优势，更 是一股向善的力量。他始终倡导通过数字化转型，助力亚太地区企业实现可持续增长、构筑韧性并拓展 全球市场。在近期发表的文章中，Hans进一步指出：面对未来十年，打造"数字自主"能力已成为企业 CEO必须肩负的核心使命 ...

Core Insights - The era of generative AI is nearing its end, as Richard Sutton, the father of reinforcement learning, joins ExperienceFlow.AI to redefine intelligence through experience rather than human data [1][5][9] - ExperienceFlow.AI aims to create a decentralized superintelligence driven by experience, moving away from the reliance on large language models [12][13][26] Company Overview - ExperienceFlow.AI is a newly established AI company based in San Francisco, focusing on "experience-driven decentralized superintelligence" [12][13] - The company plans to develop a "superintelligence research laboratory" under Sutton's leadership, emphasizing the importance of learning from experience [6][12] Industry Context - The AI industry has seen rapid advancements in generative models, but Sutton argues that true intelligence requires interaction with the environment and learning from experiences [5][9][11] - Sutton's return signals a shift in the AI landscape, where the focus will be on understanding and learning rather than mere imitation [11][18] Technological Shift - ExperienceFlow.AI proposes a new paradigm of "experience-driven superintelligence," which allows AI to continuously explore, correct, and accumulate knowledge in open environments [15][26] - The company emphasizes decentralized intelligence, enabling organizations to build independent AI networks that learn from their unique experiences [16][20][21] Future Implications - The concept of "autonomous enterprises" is introduced, where AI systems can independently analyze, plan, and execute tasks based on accumulated experience [22][26] - This decentralized approach is expected to redefine the concept of enterprises, allowing for diverse and differentiated knowledge accumulation across various sectors [27][28][29]