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.
CNBC published an article reviewing the findings of a report of the McKinsey Global Institute on the growing Artificial Intelligence market. Highlights include:
CMSWire published an article discussing the strengths of Natural Language Generation in content marketing. According to CMSWire, NLG can help marketers in a variety of ways including:
Deep learning, augmented reality and quantum computing are among a new breed of digital capabilities that companies are eyeing to drive new business models – with chief information officers taking a central role in that process, according to Forrester Research.
CIOReview has just published it’s annual review of the “50 Most Promising Fintech Solution Providers For 2018”. Featured in their review is Arria NLG. According to CIDReview...
“Arria NLG intends to change the AI industry and make a key form of AI technology
