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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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Artificial Intelligence / Machine Learning September 19, 2021
READ MOREYou 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
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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AI in Medicine / AI Systems / Applied AI / Artificial Intelligence / Intelligence Amplification / Machine Learning August 13, 2021
READ MOREShould 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
READ MOREGetting 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 […]
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AI Business / AI Projects / AI Systems / Diversity / Intelligence Amplification / Teams July 30, 2021
READ MOREHere is my advice to CEOs about AI. Much of what you already know as a leader can be translated into the introduction of an AI “team member”. You know: How to build and manage teams The value of diverse teams for improved decision making and productivity The need for continuous and thoughtful team redesign, […]
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AI Business / AI Companies / AI Projects / AI Systems / Applied AI / Artificial Intelligence / ROI July 30, 2021
READ MOREI see it all the time. A brilliant and passionate team contacts me for advice or investment. They’ve conceptualized an amazing fully automated AI system that will (eventually) solve a customer’s problem. And it’s really hard to do and it’s going to be very expensive in terms of time and money but, the team is […]
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AI Business / AI Projects / Artificial Intelligence / Book / Machine Learning July 19, 2021
READ MOREWhat does it take to make an AI project successful? Considering their high failure rate, it’s a mistake to jump in too quickly without asking this question. I see success factors in four categories: Data, Domain knowledge, Technology, and Team. Most data scientists are taught disproportionately about technology, with little emphasis on the other three […]
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AI Business / AI in Medicine / Applied AI / Artificial Intelligence July 19, 2021
READ MOREIn my previous post I talked about how to identify the opportunities for AI to solve key operational challenges and deliver on organization goals. As I described there, a good place to start is by understanding the categories of AI and ML use cases. The first half-dozen categories were classification, prediction, optimization, robotics and control, […]
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Applied AI / Artificial Intelligence / Book / Decision Intelligence / Introductory July 9, 2021
READ MOREOn any given day, organizations of every type, size, and vertical face numerous operations and business process challenges. They’re looking for better, faster, cheaper: improved service, better products, more satisfied customers, and higher revenues. Increasingly, part of the answer is found in the application of AI to these challenges. Indeed, for some markets, AI is rapidly […]
