As artificial intelligence (AI) continues to evolve, we've seen more and more of its capabilities and limitations. We've witnessed AI perform tasks once deemed futuristic, reminiscent of scenes from ...

There’s a lot of information out there about how artificial intelligence (AI) is impacting data management. Even I’ve covered this topic a couple of times. For example, I previously wrote: “I’m ...

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Fallible models. Models can be powerful but are not infallible, and assumptions made by the creators can be naïve and lead to incorrect predictions. Poor quality data. AI and models are dependent on ...

The phrase “garbage in, garbage out” dates back to at least 1957, but it has certainly come back into vogue with the rise of artificial intelligence (AI) and large language models (LLMs). As with the ...

Like other kinds of computing, if you put garbage data into a machine learning training run and then pour new data through it, what comes out as the answer is puréed garbage. There is a lot of truth ...

The promise of AI revolutionizing the modern workplace is a rather seductive one. You feed it your data, find patterns that might have been missed, and optimize your decisions based on said findings.