Date: April 30, 2020
Presenter: Jim Herron – Co-founder and CTO, Island Training
Your engineering requirements drive development – if they contain errors, so will your products. Using Watson Natural Language Service and pre-trained AI, RQA has built in quality indicators designed to be consistent with guidelines from the International Council on Systems Engineering (INCOSE) for writing complete, clear and testable requirements. With RQA, you can accelerate your review process, increase requirement quality and reduce training for junior requirements engineers. This webinar will show you how adding IBM Engineering Requirements Quality Assistant (RQA) to DOORS Next or DOORS 9 can improve your requirement quality.
Listen to April 30th recording here.
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Jael Whitney
AI Applications Business Development
jael.whitney@ibm.com