We enjoyed Daniel Newman’s recent contribution to Forbes, “Top 10 Digital Transformation Trends For 2020.” It’s a great read all around, but we are particularly in agreement about four of the trends Mr. Newman identifies as likely to catch fire in 2020, because in our world of Natural Language Generation we already see temperatures rising rapidly
Press coverage of Natural Language Generation (NLG) tends to suggest that writing as a physical, human activity, with fingers on a keyboard and coffee rings on printed drafts, is an antiquated trade, sort of like Elevator Operator. Remind me again why we need you? So, it is understandable that many traditional writers and analysts might at first feel threatened
If you’re already using business information dashboards to help analyze mountains of data, great! You have moved beyond the traditional spreadsheet analysis that has bottlenecked business information for years.
But if you’re reading this blog post, you’ve probably noticed that, like spreadsheets, dashboards are not perfect communicators.
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.