How to: The Economics of ML/AI
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1. [Book: "Prediction Machines: The Simple Economics of Artificial Intelligence"](https://www.predictionmachines.ai/)
1. [Book: "The AI Organization" by David Carmona](https://learning.oreilly.com/library/view/the-ai-organization/9781492057369/)
1. [Book: "Succeeding with AI". 2020. By Veljko Krunic. Manning Publications](https://learning.oreilly.com/library/view/succeeding-with-ai/9781617296932/)
1. [A list of articles about AI and the economy](https://www.predictionmachines.ai/articles)
1. [Gartner AI Trends 2019](https://blogs.gartner.com/smarterwithgartner/files/2019/08/CTMKT_736691_Hype_Cycle_for_AI_2019.png)
1. [Global AI Survey: AI proves its worth, but few scale impact](https://www.mckinsey.com/featured-insights/artificial-intelligence/global-ai-survey-ai-proves-its-worth-but-few-scale-impact)
1. [Getting started with AI? Start here! Everything you need to know to dive into your project](https://medium.com/hackernoon/the-decision-makers-guide-to-starting-ai-72ee0d7044df)
1. [11 questions to ask before starting a successful Machine Learning project](https://tryolabs.com/blog/2019/02/13/11-questions-to-ask-before-starting-a-successful-machine-learning-project/)
1. [What AI still can’t do](https://www.technologyreview.com/s/615189/what-ai-still-cant-do/)
1. [Demystifying AI Part 4: What is an AI Canvas and how do you use it?](https://www.wearebrain.com/blog/ai-data-science/what-is-an-ai-canvas/)
1. [A Data Science Workflow Canvas to Kickstart Your Projects](https://towardsdatascience.com/a-data-science-workflow-canvas-to-kickstart-your-projects-db62556be4d0)
1. [Is your AI project a nonstarter? Here’s a reality check(list) to help you avoid the pain of learning the hard way](https://medium.com/hackernoon/ai-reality-checklist-be34e2fdab9)
1. [What is THE main reason most ML projects fail?](https://towardsdatascience.com/what-is-the-main-reason-most-ml-projects-fail-515d409a161f)
1. [Designing great data products. The Drivetrain Approach: A four-step process for building data products.](https://www.oreilly.com/radar/drivetrain-approach-data-products/)
1. [The New Business of AI (and How It’s Different From Traditional Software)](https://a16z.com/2020/02/16/the-new-business-of-ai-and-how-its-different-from-traditional-software/)
1. [The idea maze for AI startups](https://cdixon.org/2015/02/01/the-ai-startup-idea-maze)
1. [The Enterprise AI Challenge: Common Misconceptions](https://www.forbes.com/sites/forbestechcouncil/2020/01/15/the-enterprise-ai-challenge-common-misconceptions/#37ca1e5c5696)
1. [Misconception 1 (of 5): Enterprise AI Is Primarily About The Technology](https://www.forbes.com/sites/forbestechcouncil/2020/01/31/misconception-1-of-5-enterprise-ai-is-primarily-about-the-technology/#151e6711180e)
1. [Misconception 2 (of 5): Automated Machine Learning Will Unlock Enterprise AI](https://www.forbes.com/sites/forbestechcouncil/2020/02/27/misconception-2-of-5-automated-machine-learning-will-unlock-enterprise-ai/#7f618ff97ace)
1. [Three Principles for Designing ML-Powered Products](https://spotify.design/articles/2019-12-10/three-principles-for-designing-ml-powered-products/)
1. [A Step-by-Step Guide to Machine Learning Problem Framing](https://medium.com/thelaunchpad/a-step-by-step-guide-to-machine-learning-problem-framing-6fc17126b981)
1. [AI adoption in the enterprise 2020](https://www.oreilly.com/radar/ai-adoption-in-the-enterprise-2020/)
1. [How Adopting MLOps can Help Companies With ML Culture?](https://www.analyticsinsight.net/adopting-mlops-can-help-companies-ml-culture/)
1. [Weaving AI into Your Organization](https://medium.com/firmai/weaving-ai-into-your-organization-2d9643da50e1)
1. [What to Do When AI Fails](https://www.oreilly.com/radar/what-to-do-when-ai-fails/)
1. [Introduction to Machine Learning Problem Framing](https://developers.google.com/machine-learning/problem-framing)
1. [Structured Approach for Identifying AI Use Cases](https://towardsdatascience.com/proven-structured-approach-for-identifying-ai-use-cases-b876d8d00e5)
1. [Book: "Machine Learning for Business" by Doug Hudgeon, Richard Nichol, O'reilly](https://learning.oreilly.com/library/view/machine-learning-for/9781617295836/)
1. [Why Commercial Artificial Intelligence Products Do Not Scale (FemTech)](https://www.presagen.com/why-commercial-artificial-intelligence-products-do-not-scale)
1. [Google Cloud’s AI Adoption Framework (White Paper)](https://services.google.com/fh/files/misc/ai_adoption_framework_whitepaper.pdf)
1. [Data Science Project Management](http://www.datascience-pm.com/)
1. [Book: "Competing in the Age of AI" by Marco Iansiti, Karim R. Lakhani. Harvard Business Review Press. 2020](https://learning.oreilly.com/library/view/competing-in-the/9781633697638/)
1. [The Three Questions about AI that Startups Need to Ask. The first is: Are you sure you need AI?](https://towardsdatascience.com/google-expert-tips-for-artificial-intelligence-startups-three-questions-abou