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AI in Medicine / Applied AI / Robotics / Uncanny Valley March 24, 2022
Most of us think that improving quality or capability of an AI system makes it incrementally (or at least monotonically) better for the users. However, just like computer graphics and robotics, there can be an uncanny valley for AI systems. As artificial faces get more realistic, people are happier, but there is an uncanny valley where faces get to a point that is close to realistic but not…quite. Faces look “eerie” or […]
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AI Business / AI in Medicine / AI Projects / Applied AI / Artificial Intelligence / Machine Learning / Product Management / ROI January 6, 2022
If you’ve been reading my posts so far, you’ve probably learned solidly that AI models become useful when they leave the lab and become part of a deployed system, where they are integrated into business software and processes. So, say you’ve done that. You built your model. You improved your accuracy and demonstrated that it’s high […]
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AI Capabilities / AI in Medicine / AI Model / AI Systems January 6, 2022
“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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Artificial Intelligence / Machine Learning September 19, 2021
You might be detecting a theme in the last few posts: AI isn’t always the answer. Sometimes it’s better to use just humans, sometimes humans in the loop with a non-AI solution. Here are a few other alternatives you should be sure to consider. The many flavors of machine learning At the moment, most enterprise AI […]
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AI Projects / AI Systems / Artificial Intelligence / Machine Learning / ROI September 19, 2021
I 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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AI in Medicine / AI Systems / Applied AI / Artificial Intelligence / Intelligence Amplification / Machine Learning August 13, 2021
Should companies base AI systems on knowledge or data? The answer may surprise you: the best AI systems today use both. If you’ve come to AI in recent years, you might be surprised to learn that early AI applications were almost exclusively logic-based: models were built from facts and rules, not learned from data. MYCIN […]
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AI Capabilities / AI Systems / Artificial Intelligence / Big Data / Machine Learning August 12, 2021
Getting the right data—and getting the data right—is essential for good AI accuracy, whether that data is collected before or during system deployment. Obtaining Data Obtaining data to train your AI system may seem like a straightforward task, but there are some hidden gotchas. Consider a company I’ll call WebLeads. It set out to create the […]