Mai-Lan Tomsen Bukovec

Emerging trends, ranging from Open Table Formats (OTF) to agentic infrastructure, are rapidly changing how humans and applications interact with analytics to drive mission-critical business decisions.

CTOs and CDOs must adapt their data strategies to manage both the explosive growth of data and its mission-critical usage to drive application experiences that span personalized user experiences, petabyte-scale business analytics, and real-time AI inference in applications in every industry.

How can you turn your existing data architecture like data lakes into a business advantage with generative AI? In this talk, explore what is top of mind for leaders of data organizations across the globe for how they can best put proprietary datasets to work for unique, differentiated generative AI solutions.

Data is the change agent driving digital transformation. The variety of data and workloads and the need for resiliency in shared data environments make storage choices critical to every application.

Every business is a data business, and data is growing at an unprecedented rate. Modern data use needs innovative storage infrastructure to scale and integrate with next-generation applications, like machine learning, that are powering businesses.

Organizations need to build applications faster than ever, with the ability to scale quickly to potentially millions of users, manage petabytes if not exabytes of data, and innovate with data-driven insights. AWS storage is purpose-built for the applications that drive your business.