So it allows you to be able to link your models with your requirements , with all of your change management and source code , and then also your testing .” That ’ s necessary for a number of reasons , as Edwards explains . “ First of all , they want to make sure that they ’ re building a product that meets requirements . In many industries it ’ s necessary to prove compliance , and that means they can have a single source of the truth for their global engineering teams to work from . The complexity , the global nature of these transforming industries , means they really need a digital representation of the products that they ’ re working on .”
As the proprietor of one of the more famous AI systems around , IBM
Watson , it ’ s little wonder the company also turns its capabilities towards this problem too . “ We ’ re bringing our Watson capability to the platform and to all of the available engineering data to help the engineers , whether they be test engineers , systems engineers , project leaders or executives , to help them make better decisions .” IBM is also using its natural language processing capabilities to help engineers conform to the International Council on Systems Engineering ’ s standards on writing clear , concise and correct requirements . “ We ’ ve embedded that AI assistant right inside of the requirements tool itself and it assists the engineers and helps them to make sure that their requirements are clear .”
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“ What we ’ re seeing is just going to continue to get more complex ”
— Dibbe Edwards , Vice President , IBM Engineering Lifecycle Management www . technologymagazine . com