I am a technology journalist with three decades of press experience. Primarily I work as a news analysis writer dedicated to a software application development ‘beat’. I have spent much of the last twenty years focusing on open source, analytics & data science, cloud computing, mobile devices & data management.
AI is ahead of its time. For many organizations, the push to adopt full-blown cloud-native technologies is still quite a leap. To suggest that cloud is a ubiquitous de facto standard for many application types is something of an exaggeration, even though migration and penetration is indeed moving on an upward trajectory .
“Today, the tipping point for ‘productionizing’ AI is about providing organizations with robust, scalable and secure tools that integrate into existing workflows while maintaining high standards of governance. Rapid advancements in AI technology are transforming AI from an experimental tool into a production-ready, business-critical capability,” said Sivasubramanian. “At AWS, we focus on making AI not only more powerful but also practical, so it can be reliably deployed across industries.
Also here we come into the realm of “inline chat functions” designed to enhance productivity in developer workflows, a function that is also powered by generative AI. But developers need contextual support right where they work i.e. whether in their integrated development environment, the AWS Management Console, or directly within code repositories.
“While some jobs will inevitably become obsolete, using AI tools will transform the way people work – for the better. The shift we’re seeing is about eliminating the undifferentiated heavy lifting so that developers spend less time on tedious, time-consuming work and have more time to focus on strategic and creative work. This shift is about augmenting developers’ capabilities. AI will open up new opportunities for developers to drive innovation at a faster pace.
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