How Do Labs Love AI? Let Us Count the Ways
By now, it is safe to say that AI has moved from a buzzword to a functional requirement in many types of labs. Lab users are finding many ways to love it as an efficiency hack and productivity tool. However, AI is only as good as the data feeding it. This makes your lab data, stored in a LIMS, ELN, or other informatics system, the essential data backbone underpinning your AI strategy.
Despite its ability to save time, predict equipment failures, and process vast quantities of data, AI isn’t here to replace the scientist. The most appropriate use of AI in the lab is to automate the mundane and illuminate the hidden. So how are the labs that use AI putting it to work for them successfully? With a hat tip to Elizabeth Barrett Browning, let us count the ways.
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