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西蒙顾和&Thales：2025 AI变现的关键4P：AI商业化成功的综合指南（中译版）（16页）.pdf

上传人： Kell****reet 编号：603540 2025-02-07 16页 1.72MB

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1、The Essential 4 Ps for AI MonetizationA Comprehensive Guide to Success in Your AI Go to MarketPublished jointly by:Building a future we can all trustThe Essential 4Ps for AI Monetization Guide2Table of ContentsIntroduction 3Overview of AI offers today 3Determining the monetization method4Productize

2、your new AI capabilities 5Standalone AI offer-Build a separate business 5Adding AI to existing products-Incremental business 5Considerations unique to AI productization 6Protect your IP investment 7Model poisoning and transfer learning attack 7Input manipulation and output integrity attacks 7Model t

3、heft/leapfrogging lost revenue 7Packaging for direct monetization 8Packaging as a means of differentiation 8Operationalize packaging with software licensing 85 widely used packaging models 9Price your offer for profitability 10The costs of bringing AI offers to market 10Earning returns on AI investm

4、ent via cross-selling and upselling 11AI efficiency impacts user-based pricing 11Revenue instability 12Pricing sensitivity 12Evaluating pricing effectiveness 13Turn investments into profits 134Ps Implementation:Checklist for Success 14About the authors 15Simon-Kucher 15Thales 15The Essential 4Ps for

5、 AI Monetization Guide3According to research by Simon-Kucher at the end of 2023,94%of software companies were either developing or have already augmented their product with AI features.Everyone wants to offer this new technology to avoid the risk of being left behind.Yet,42%of companies that have re

6、leased AI products or features are not currently monetizing them,and even fewer are showing ROI(Source:Joe Floyd,Beyond Benchmarks 2024,Emergence(05/22/24).IntroductionThales Software Monetization and Simon-Kucher have teamed up to bring you this practical step-by-step guide to making your AI softwa

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本文主要介绍了人工智能（AI）软件的四大变现策略，即产品化（Productize）、包装（Package）、保护（Protect）和定价（Price）。文章指出，尽管94%的软件公司正在开发或已经将AI功能融入其产品中，但42%的公司在发布AI产品或功能后并未实现盈利，甚至更少的公司展示了投资回报率。文章详细阐述了如何通过产品化、包装、保护以及定价策略来提高AI软件的盈利能力。例如，产品化可以通过构建独立的AI产品或将其融入现有产品来实现；包装可以通过不同的模型满足不同客户的需求；保护则需要加密AI模型以防止逆向工程和恶意破解；定价则需要考虑业务影响，灵活调整定价模式以适应市场变化。文章还提供了AI变现的实施清单，帮助企业成功地将AI软件推向市场。
如何将AI产品化以实现盈利？ AI产品定价策略有哪些？ 如何保护AI产品的知识产权？
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