able to engineer deterministic systems like we have today , where we know how the system is supposed to behave . But as companies start to build systems that learn , how do you create requirements for that , how do you test and validate a system that continues to learn ?”
This trend for ever increasing complexity in products shows no signs of abating , meaning the ways they are engineered has to change to match . “ What we ’ re seeing is just going to continue to get more complex . For many of these companies , from a DevOps perspective , Tesla has set the standard . Many of the more traditional automotive companies want to get to the point where they can be more agile .” Edwards is confident that IBM can provide the tools to make that possible . “ We ’ ll continue to evolve the engineering process , infusing our tools with AI to help engineers to be able to work faster and smarter .”
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