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所在平台: Udemy |
课程主页: https://www.udemy.com/course/aistartupinvestors/
课程评论：没有评论
课程名称：风险投资者如何看待人工智能初创企业 课程概述：本课程基于1Mby1M方法论，通过案例研究，分享Sramana Mitra关于科技初创企业投资者的经验和见解。学生将有机会与投资者进行深入对话，获取关于如何建立成功企业的指导。通过这些交流，学生将接触到创业的众多案例分析，Sramana对关键学习的综合与深入分析增强了每次讨论的深度。 当前，关于人工智能的讨论充满了混乱与夸大，其热度之高令人瞩目。在这样的嘈杂环境中，我们希望为创业者提供一些有价值的信息。本课程通过与多位风险投资者的对话，分享他们的观点，旨在指导那些正在建立或对需要资金支持的人工智能初创企业感兴趣的创业者。 课程内容深入探讨了当前科技环境中人工智能投资策略，重点展示了投资者在人工智能时代的看法。您将了解到机器学习如何影响风险投资的决策，并听取他们对具体投资的AI公司的案例及背后的原因。多次对话讨论了企业对人工智能的采用，重点分析投资者的投资组合如何反映企业客户在机器学习方面的行为。 我们讨论的其他主题包括AI幻觉的问题，即生成式AI产生不准确信息的影响，以及投资者是否支持基于第三方平台或平台即服务（PaaS）构建的AI平台和应用，探讨了扩展AI所需的基础设施。此外，我们还讨论了超智能对垂直AI的潜在影响以及未来五年内投资可能的变化。 总之，本课程揭示了投资者对人工智能初创企业的战略思考，分享了他们投资组合中的当前学习成果以及对人工智能技术未来发展的预测和更广泛的影响。让我们开始学习吧！
The 1Mby1M Methodology is based on case studies. In this course, Sramana Mitra shares the tribal knowledge of tech startup investors by giving students the rare seat at the table with investors who provide the most instructive perspectives on how to build a thriving business. Through these conversations, students gain access to case studies exploring the alleys of entrepreneurship. Sramana's synthesis of key learnings and incisive analysis add great depth to each discussion.There's a lot of confusion around AI right now. The hype is astronomical. Amidst this noisy environment, we're trying to bring you some signal, some wisdom. To that end, we've been speaking with many VC investors to gain their perspectives and share these conversations in this course to help guide entrepreneurs who are building or interested in artificial intelligence startups that may need funding.This course is an exploration of AI investment strategies in the current tech landscape, highlighting investor perspectives in the Age of AI. You'll learn how machine learning is shaping VC decision-making and hear about specific examples of AI companies they invested in and the rationale behind these choices.Many conversations cover enterprise AI adoption, focusing on what investor portfolios reveal about the behavior of ML buyers in enterprises. Investors share views on the potential of general artificial intelligence versus specialized vertical applications, particularly in sectors they find promising.Other key themes we explore include the challenge of AI hallucination, where generative AI produces inaccurate information, and its impact on the industry. There's also a focus on whether the investor is backing AI platforms and applications built on third-party platforms or PaaS, exploring the infrastructure required to scale AI. We talk about superintelligence potentially rendering vertical AI obsolete and what future investments might look like in five years.Altogether, this course reveals the strategic approach of investors to AI startups, shares current learnings from their portfolios, and their projections for the future of AI technology and its broader implications. Let's get started!
