Making AI & NLP solve real-world problems in healthcare, life science and related fields. When embarking on an artificial intelligence (AI) project, there's a lot of discussion about choosing the right tool to execute on your vision. While this is an important part of the equation, it skips a crucial first step: finding the right library. But with so many tools and libraries on the market, how do decision-makers find the best fit for the job at hand? Defining the nature of your project is a good place to start. At my company, John Snow Labs, we often get compared to Allen NLP, Stanza, SciSpacy and other libraries that are focused on academic use cases.