How Data Availability and Cost Relate to AI Differentiation?
When someone pitches me an #ai/#MachineLearning idea, I always (also) ask about #data availability, data cost, and how they relate to their product differentiation and #aitechnology. Here’s how I see them, roughly speaking. #strategy #AIstrategy #AIeconomics pic.twitter.com/v6yb8JOHwi
— ivanjureta (@ivanjureta) February 19, 2018
Analysis of temporal properties of nonfunctional – i.e., quality – requirements (NFRs) has not received significant attention. In response, this paper introduces basic concepts and techniques needed for the specification and analysis of time properties of NFRs. Jureta, I.J. and Faulkner, S., 2008, October. Timing Nonfunctional Requirements. In International Conference on Conceptual Modeling (pp. 302-311). Springer, Berlin,…
Just like l’art pour l’art, or art for the sake of art was the bohemian creed in the 19th century, it looks like there’s an “AI for the sake of AI” creed now when building general-purpose AI systems based on Large Language Models. Let’s say that the aim for a sustainable business are happy, paying,…
If any text can be training data for a Large Language Model, then any text is a training dataset that can be valued through a market for training data. Which datasets have high value? Wikipedia, StackOverflow, Reddit, Quora are examples that have value for different reasons, that is, because they can be used to train…
Explanations of decisions are central to decision governance: before changing how decisions are made, you need to explain how they are made; you need to explain why they need to be changed; and, you need to explain how changes that governance brings should lead to better decisions. So the question is: What is a good…