《商业元宇宙》内容简介
未来科技战略家、企业家和思想领袖Mark van Rijmenam博士以惊人的洞察力论述了当物理世界和数字世界融合成元宇宙时，我们所知道的世界将如何发生根本性的变化，这些变化如何影响人们、公司和社会的日常体验。作者描绘了商业领袖、消费者、监管者、政策制定者以及其他试图驾驭未来互联网的元宇宙利益相关者所面临的非凡机遇和挑战。作者在书中探讨了元宇宙的巨大潜力，包括游戏、音乐、媒体和体育，以及品牌如何以新颖的方式与客户互动，数字孪生将如何改变我们的工作体验和创新方式。同时，作者也显示出了对沉浸式互联网的潜在风险的考虑，包括数据泄露、冒名顶替、心理健康等问题，提出了对元宇宙立法的需求。
作者简介
马克·冯·里吉门纳姆是全球大数据影响力人物。他是一站式大数据商店Datafloq创始人和荷兰Data Donderdag大数据论坛联合发起人，一直致力于通过连接大数据市场上的所有利益相关者，打造一个大数据生态系统。他既是洞悉趋势的大数据战略家，也是思想深刻的演说家，在大数据、区块链、物联网和颠覆性创新方面拥有丰富的经验，一直在为大中小企业制定大数据战略提供建议。
Brief introduction to the Business Meta-Universe
Future tech strategist, entrepreneur, and thought leader Dr. Mark van Rijmenam discusses with stunning insight how the world as we know it will change fundamentally when the physical and digital worlds merge into a meta-universe, and how these changes will affect the everyday experiences of people, companies, and society. The authors chart the extraordinary opportunities and challenges facing business leaders, consumers, regulators, policymakers, and other meta-universe stakeholders trying to navigate the future of the Internet. In the book, the author explores the vast potential of the meta-universe, including games, music, media and sports, as well as how brands can engage with customers in novel ways, and how digital twins will change the way we work and innovate. At the same time, the author also shows consideration of the potential risks of the immersive Internet, including data breaches, impostor, mental health issues, and raises the need for meta-cosmic legislation.
About the author
Mark von Rigimenem is a global big data influencer. He is the founder of Datafloq, a one-stop big Data shop, and co-founder of the Data Donderdag Big Data Forum in the Netherlands, where he has been working to build a big data ecosystem by connecting all stakeholders in the big data market. He is both a trend-savvy big data strategist and a thoughtful speaker with extensive experience in big data, blockchain, iot and disruptive innovation, and has been advising small, medium and large businesses on their big data strategies.
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