AGI and the technological singularity

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Legacy systems will become obsolete. There are parallels in the use cases and adoption of AI and low-code. AI helps organizations and individuals analyze, interpret, and manage massive databases, create initial drafts of content, find answers to questions, and read medical images like X-rays. As AI grows exponentially across use cases, similarly, low-code will remove the burden of actually writing code. Providing high-level directions takes much less time than low-code systems can convert into code - just as generative AI systems like ChatGPT and Dalle-E save time on producing text or images based on high-level directions.


X expand software development to developers to increase productivity and agility, so developers are focusing more on system design and architecture and less on coding. Low code enables this, so we expect the use indonesia telegram data of low code to also increase in 2024. Emerging IT Integration Practices Old legacy systems will be much less in use in 2024. They can simply be described as a system that exists and works.


"That's a reasonable, albeit very modest, description. The reality is that legacy software is a significant barrier to innovation and change," said Kresslin. The ability of modern integration platforms to integrate legacy systems with current and new systems allows organizations, if they wish, to continue using legacy systems that are performing well as part of their modern IT data stack. “Legacy systems are outdated, but they are expensive to replace in industries like financial services, so integrating them prolongs their use and allows them to innovate and change,” he noted.