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When putting AI to work, remember: It’s just a talented intern

Beta News: “Artificial intelligence (AI) models have been generating a lot of buzz as valuable tools for everything from cutting costs and improving revenues to how they can play an essential role in unified observability. But for as much value as AI brings to the table, it’s important to remember that AI is the intern on your team. A brilliant intern, for sure — smart, hard-working and quick as lightning — but also a little too confident in its opinions, even when it’s completely wrong. High-profile AI models such as OpenAI’s ChatGPT and Google’s Bard have been known to simply dream up “facts” when they are apparently uncertain about how to proceed. And those instances aren’t all that rare: AI “hallucinations” are a fairly common problem and could contribute to consequences ranging from legal liability and bad medical advice to its use in initiating supply chain cyberattacks. With recent advancements in Large Language Models (LLMs) like ChatGPT, along with the pace that organizations are integrating AI into their processes, the use of AI for a wide variety of functions is only going to become more common. Observability, a fast-growing field that combines monitoring, visibility and automation to provide a comprehensive assessment of the state of systems, is one example…”

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