Data campaign

Reinventing with the cloud PAID PROGRAM Another data-driven organization is Cerner, a health information technology company providing solutions designed to empower healthcare systems, clinicians, and patients. Using AWS tools, Cerner created the Cerner Machine Learning Ecosystem. It can ingest patient and hospital data and make near-real- time predictions about patient care and hospital operations—such as hospital capacity and length of individual patient stay—that healthcare systems and clinicians can use to make more informed decisions. Becoming a data-driven organization There are three steps we look at in the journey to becoming a data-driven organization. The first step is for an organization to move its data and applications to the cloud. In the cloud, organizations access IT resources, like storage, database, analytics, and ML, over the internet instead of buying, owning, and maintaining physical data centers and servers themselves. With the cloud, organizations can scale up or down at the click of a button, only pay for what they use (at a price virtually lower than any organization could achieve on its own), and have access to more data tools than anywhere else. The second step is for organizations to use these tools to liberate their data by breaking down data silos and making it more accessible to everyone who needs it. In the cloud, organizations can move their data between a centralized repository, often called a "data lake," and specialized data stores and analytics tools that are purpose-built to provide the best cost and performance for specific types of analytics, like data warehousing or analyzing log data. This allows users in the organization to seamlessly discover, access, and analyze all their data, regardless of where it lives, in a secure and governed way. The third step is to innovate with that data using analytics, artificial intelligence, and ML. ML is one of the most disruptive technologies of our generation. From predicting manufacturing issues to tailoring medical experiences, organizations are using ML in new and creative ways to innovate and build a competitive advantage. Data-driven transformation Data-driven organizations understand that data is the foundation for innovation and transformation. And that in order to reinvent themselves, they need to be able to quickly get to the truth. This requires a data-driven culture, which embraces the use of data in decision- making from the top down, and an investment in the right data infrastructure, solutions, and tools. Today, hundreds of thousands of organizations use AWS to get value from their data. Our experience, "purpose-built" tools and data infrastructure, and strong partner ecosystem help our customers on their journey to becoming data-driven organizations and reinventing their businesses. To learn more about data-driven organizations on AWS, click here. Wall Street Journal Custom Content is a unit of The Wall Street Journal advertising department. The Wall Street Journal news organization was not involved in the creation of this content.

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