{"id":275,"date":"2019-07-12T16:13:18","date_gmt":"2019-07-12T20:13:18","guid":{"rendered":"https:\/\/arriablog22.wpengine.com\/5-reasons-traditional-writers-and-analysts-should-embrace-nlg\/"},"modified":"2022-03-24T17:02:54","modified_gmt":"2022-03-24T21:02:54","slug":"5-reasons-traditional-writers-and-analysts-should-embrace-nlg","status":"publish","type":"post","link":"https:\/\/www.arria.com\/blog\/5-reasons-traditional-writers-and-analysts-should-embrace-nlg\/","title":{"rendered":"5 Reasons Traditional Writers and Analysts Should Embrace NLG"},"content":{"rendered":"

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 by the technology. They may also notice that product managers\u2014rarely professional writers themselves\u2014sometimes approach NLG as a technological puzzle rather than a writing assignment, which is exactly what it is. Language\u2014whether written or spoken<\/a>\u2014is the final and, indeed, the only expression of the entire endeavor.<\/p>\n

Traditional writers should not merely chin up at that fact, they should embrace NLG as a wonderful, unanticipated opportunity to expand their skill sets and boost their careers. Unexpectedly, their \u201cold school\u201d skills have made them the central players for all implementations of NLG, an advanced subset of AI. No one saw that coming back in freshman English.<\/p>\n

Here are five reasons traditional writers and analysts should embrace NLG:<\/p>\n

It\u2019s Creative and Fun<\/strong><\/p>\n

Writing modular linguistic components for conditional assembly based on underlying data is a highly creative skill. All the lexical variations and decision-making available to you as you write reports one at a time are available to you as you write thousands of reports at a time. With your subject matter expertise, and your knowledge of the dataset and likely edge cases, you\u2019ll be able to produce prose that is distinct from report to report, and from situation to situation, and each of those thousands of reports will look as if you wrote it, because you did.<\/p>\n

They Can\u2019t Do This Without You<\/strong><\/p>\n

Far from marginalizing you, the NLG project puts you front and center of one of the hottest AI technologies today. It\u2019s not a threat but a pedestal. NLG stands to make writers and writing more important to businesses.<\/p>\n

You\u2019ll Expand Your Output<\/strong><\/p>\n

NLG is not just for reports that are currently being produced manually. It\u2019s also for reports that aren\u2019t being produced at all, due to the necessary triage and prioritization associated with manual document production. You and your team of writers can\u2019t possibly analyze all the data and write all the reports that you would write if time were no object. Guess what: With NLG, time is no object. It\u2019s satisfying to see your work produced in previously unimaginable volume. It\u2019s rewarding to see your organization benefit from the additional insights that your work uncovers.<\/p>\n

You\u2019ll Have Time for Higher Value Writing <\/strong><\/p>\n

In writing structurally similar, repetitive reports at regular intervals, you\u2019re not exactly using your entire skill set, are you? Once you use your expertise to create an NLG project to automate these reports, you\u2019ll multiply your output and free yourself up for higher level writing.<\/p>\n

You\u2019ll Learn a New, Highly Marketable Skill<\/strong><\/p>\n

According to Gartner Group, by 2022, 25% of firms will be using some form of Natural Language technology. That\u2019s good news for writers and analysts. Once you master Arria\u2019s NLG platform, which is designed to be easy to master, you\u2019ll be able to take that skill to many other companies. Remember that Arria\u2019s approach to NLG is to make the technology easy-to-use and available to everyone, while putting sophisticated language functions in your hands, along with powerful computational functions that give you all the analytical tools you need to support your prose.<\/p>\n

Frankly, if you\u2019re a traditional writer or analyst producing manual reports to explain structured data sets, and your manager has not suggested looking into NLG, you should take the lead by suggesting it to your manager. It\u2019s easy to get started. Begin a free trial today.<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

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