Innovation will transform the software engineering life cycle - SD Times

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Innovation will transform the software engineering life cycle - SD Times
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Software engineering leaders must introduce innovation with new ways of thinking to avoid their teams from experiencing burnout. Gartner analyst Motiv8Tech shares ways software engineering leaders can do this in a new sdtimes article. GartnerAPPS

Data science skills are not abundant within software engineering teams. Software engineering leaders are pressed to implement innovative machine learning algorithms into their applications for intelligent and predictive purposes. AutoML services allow developers without significant data science skills to build purpose-specific ML. Gartner predicts that by 2027, up to 75% of enterprise software engineering teams will use autoML techniques.

Code completion tools have become essential for developers to handle code complexity, especially in modern integrated development environments. By 2027, 50% of developers will use ML-powered coding tools, up from less than 5% today. Generative design AI reduces the human effort needed for design exploration and final product design, allowingmembers to focus on user research, product strategy and solution evaluation. By 2027, generative design will automate 70% of the design effort for new web and mobile apps.

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