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So far in the artificial intelligence hype cycle, software engineers are still operating at full force, with demand for skilled engineers expected to grow by 25% in the decade ending in 2032, according to the U.S. Bureau of Labor Statistics. But is the hyper-growth of AI as an engineering solution throwing a wrench in that expectation? This is a form of computational thinking, or computer-like thinking — one skill that will remain prevalent amid AI-enabled software engineering, Schuerman said. Talented engineers, Tang said, have a higher level of problem-solving, logic and reasoning skills. David Hsu, CEO and founder of app development platform Retool, believes AI in the software context is a propelling factor.
Persons: Jensen Huang, Don Schuerman, Schuerman, Winston Tang, Tang, David Hsu, Hsu Organizations: Nvidia, World, U.S . Bureau of Labor Statistics, Microsoft, Google Locations: Dubai
Oscar Wong | Moment | Getty ImagesIndependently, generative artificial intelligence and low-code software are two highly sought-after technologies. While the intersection of low-code and AI feels natural, it's crucial to consider nuances like data integrity and security to ensure a meaningful integration. Additionally, rather than the AI revolution replacing low-code, Varadharajan said, "One doesn't replace the other, but the power of two is going to bring a lot of possibilities." Low-code software increases the accessibility of development across organizations (often to so-called citizen developers) while generative AI increases organizational efficiency and congruence. "Even now, we are still grappling with the possibilities of what generative AI can do," Varadharajan said.
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