Some fear that technical writers may be losing their jobs, but others see this type of disruptive white collar innovation as freedom from mind- twisting, repetitive work. Writing astute technical reports on a subject matter requires a deep comprehension, developed from many hours of research, thought organization and formulation of ideas, followed by many hours of typing. These tasks fall in line with the type of quantitative analytical process which is now the target of data scientists who are automating technical writing work by Artificial Intelligence and Natural Language Programming. This includes R&D Study & Tax Credit technical narratives.
Mind- Twisting, Finger- Bending Work
Let’s face it, no one likes spending days, weeks and even careers in front of computer screens typing well thought-out explanations of technical work. This should not be confused with the joy of learning new technologies and contributing to their evolution through thought- provoking, true Research and Development work. Automation of Technical Writing jobs follows the path of other white collar jobs such as software automation for conducting discovery assignments in legal departments, assisting lawyers, and reading and interviewing job candidates in Human Resource departments, assisting managers.
Writing R&D Study & Tax Credit Narratives by A.I.
R&D Study technical reports are defined by strict activities that focus on resolving technological uncertainties, leading to new knowledge defining a technological advancement. SHAIN is an example of an Artificial Intelligence platform that has been extensively trained to read work activity records, categorize content and draft technical reports in natural language. SHAIN’s technical reports summarize and represent the work of a company. No longer do employees have to spend days and weeks discussing and writing reports.
Labor Reduction and Increased Focus on Innovation.
Just as the invention of farming equipment in the 1850’s freed people from back- breaking work, Artificial Intelligence that writes technical reports frees people from mind- twisting, finger-bending, tedious tasks of writing technical reports. This liberates time for more enjoyable and innovative technical R&D work, thus allowing for a much faster pace of innovation. Natural Language Programming (NLP) is the technique used by SHAIN and by linguistic neural networks that save countless hours of manual reading and writing. NLP creates word vectors that categorize and numerically define words and word combinations. With sufficient training data and time, A.I. systems can read and write an unlimited number of documents within mere seconds.
For more information on Writing R&D Study Tax Credit narratives by A.I. Systems, visit SHAIN’s Technical Narratives
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