If your organization’s brightest minds are busy keeping all the plates spinning in legacy analytical processes, consider what they might notice, decide, or dream up if only they had instant, accurate insights, combined with time to think.
There’s a reason that this blog post is not written in charts and graphs. Sure, a visual might be persuasive or advisory on its own, but it is more so when supported by words, preferably spoken words.
Natural Language Generation (NLG)—the subset of AI that explains structured data in human language—already transforms chart-based BI dashboards into goldmines of interactive insights expressed in plain written language.
When it comes to NLG, the question of build versus buy is an easy one to answer. Here’s why you shouldn’t attempt to build your own NLG platform:
1) You would start out with an enormous development deficit that would be impossible to close.