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AI Capabilities / AI Systems / Applied AI / Artificial Intelligence March 24, 2022
READ MOREAI failures and how to avoid them are a recurring theme of these posts. In a recent article called 4 things VCs get wrong about AI, Aible CEO Arijit Sengupta provides one reason: AI is not SaaS, and we cannot directly apply lessons learned from SaaS successes to AI Projects. I do like Arijit’s contrast with SaaS metrics. His strongest point addresses what you can’t learn from AI pilots. In […]
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AI Capabilities / AI in Medicine / AI Model / AI Systems January 6, 2022
READ MORE“As a rule of thumb, you’ll spend a few months getting to 80% and something between a few years and eternity getting the last 20%.” Chris Dixon in “The idea maze for AI startups” It may seem obvious to some—but bears repeating for others—that our AI product needs to satisfy our customers’ needs to be […]
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AI Business / AI in Medicine / AI Projects / AI Systems / Artificial Intelligence / Machine Learning November 8, 2021
READ MOREWhen I talk with AI entrepreneurs, I often ask, “How good does the AI need to be, to be useful in your application? What actually is the quality bar?”[1]Note that in this article, I use the word “quality” as synonymous with “accuracy”, as opposed to the more general usage of “quality” in software development, which can […]
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AI Projects / AI Systems / Artificial Intelligence / Machine Learning / ROI September 19, 2021
READ MOREI wrote earlier about the importance of asking yourself some foundational questions about what alternatives your solution is competing with. I also wrote more specifically about competition with human / manual solutions, and about how it’s a good idea to seek the optimal mixture of AI, more traditional tech, and human beings. Sometimes, as it […]
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Applied AI / Artificial Intelligence / Book / Decision Intelligence / Introductory / Product Management June 16, 2021
READ MORETypically, AI innovation teams want to use AI to solve important problems that people or the business really need solved, which could not be solved by other traditional approaches. In practice, we tend to misjudge what the customer needs, under-estimate what alternative approaches can accomplish, and overestimate our AI abilities. This is a standard recipe […]
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The robotics team had a great idea. Why not use self-driving car technology for a task that was essentially easier, and could make money on the way to autonomous nirvana? And, as often happens, they were pitching me for investment. A solid and practical team, I liked these guys for their clever concept: to build self-driving (“robot”) industrial […]
