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The author defines the role of an 'AI/ML Success Architect,' a consultant who guides companies, particularly startups, in leveraging AI/ML effectively, sometimes by advising against its use, to achieve significant growth and overcome high failure rates.
AI 生成摘要
作者定義了「AI/ML成功架構師」的角色，這是一位顧問，專門協助公司（尤其是新創企業）有效運用AI/ML，有時甚至建議不使用AI/ML，以克服高失敗率並達成顯著成長。
I did some AI consulting for computer vision. A lot of times, the value that I brought to the company was telling them not to use AI. I was the AI expert, and they described the problem, and I said, “Don’t use AI.” This is my value add.
Last year, I went through some exercises to clarify what I do for clients. I ended up with descriptions of various lengths, but still felt like I needed something shorter and more generic. Then it hit me – I’m an AI/ML Success Architect!
To my surprise, a Google search for the exact term yielded zero results, so I quickly changed my website title to claim it. Now, it’s time to define the title in more detail.
There are three parts:
My commitment to AI/ML success and to serving people and causes I care about is a large part of why I work independently rather than as an employee. It makes it easier to say no to unnecessary projects, and avoid going down the path of reluctant data engineering.
My current LinkedIn tagline is “helping climate tech founders ship AI/ML solutions that support multi-million dollar growth goals”. This means my typical leads have a low chance of success, as more than 90% of startups and 80% of AI/ML projects fail. By working with founders who are a good fit – and by helping them avoid overinvestment in AI/ML – my aim is to help them beat the odds and successfully ascend the AI/ML maturity curve. Please reach out if this sounds like you!
Typical AI/ML maturity curve for startups, highlighting the levels where engaging me as a consultant makes the most sense. Among other things, success requires matching the level of investment in AI/ML to available resources and expected business outcomes.
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