The cloud landscape is evolving rapidly, driven by a need to simplify complex migrations and optimize data management for scalability and innovation. AI-driven cloud innovation is playing a pivotal role, with technologies such as AI-driven automation and advanced metadata handling reshaping how enterprises approach modernization.
By addressing challenges in migrating legacy applications and leveraging data for AI, businesses are finding new efficiencies and capabilities in the cloud. Amazon Web Services Inc. is at the forefront of these efforts, providing innovative tools, such as Amazon Q Developer and S3 Tables, to simplify migrations and optimize data management for scalable, AI-driven solutions.
“In my area, we are all about changing how people think about solving problems, and we’re doing that in two ways … in data and in migration of Windows applications, VMware applications and event mainframes,” said Mai-Lan Tomsen Bukovec (pictured), vice president of technology at AWS.
Tomsen Bukovec spoke with theCUBE Research’s Dave Vellante for theCUBE’s “Cloud AWS re:Invent Coverage,”during an exclusive …