For years, FICO lacked the agility to quickly develop and deploy its solutions to the market. New products sometimes took years to create and deliver. Seeking to focus on implementing software more efficiently, FICO turned to AWS.

FICO chose AWS as its cloud provider in part because of its built-in security. AWS also offered the necessary experience to help FICO navigate its increasingly complex regulatory and compliance requirements.

Using AWS, FICO can deliver solutions in a matter of hours instead of weeks. FICO developers now have more time to build and enhance products instead of provisioning and managing servers.

Peloton was founded in 2012 by a team of five people, and launched on Kickstarter in 2013. The company was born on AWS and delivered its first bike in 2014. In seven years, Peloton has grown to more than 1.4 million members who collectively have ridden hundreds of million of virtual miles.

Peloton uses AWS to power the leaderboard in its live-streamed and on-demand fitness classes, and it requires high elasticity, low latency, and real-time processing to deliver customizable rider data for the community of more than 1.4 million members riding together from their homes.

Using AWS, Peloton can quickly test and launch new features to improve the unique experience of home-based community fitness.

When Zillow created its home-valuation tool—Zestimate—nearly 15 years ago, it had to develop an on-premises machine learning framework to process an array of data. But, as its popularity and complexity grew, Zillow needed a better way to deliver Zestimates on nearly 100 million homes across the country.

Zillow moved its Zestimate framework to AWS, giving it the speed and scale to deliver home valuations in near-real time. The more dynamic valuations better reflect both the unique features of each home and what’s happening in the local housing market, so customers have the latest data as they explore the buying or selling process.

In hot housing markets, homes can go from listing to offer in just days. Zillow built AWS technologies into its infrastructure to quickly and reliably deliver hundreds of millions of emails each month, keeping customers apprised of the latest listings, home statuses, and more.

GE Healthcare uses AWS and Amazon SageMaker to ingest data, store data compliantly, orchestrate curation work across teams, and build machine-learning algorithms.

GE Healthcare reduced the time to train its machine-learning models from days to hours, allowing it to deploy models more quickly and continually improve patient care.

Live Nation is the global leader in live entertainment that produces concerts, sells tickets, and connects brands to music. In 2016 Live Nation announced it was moving its global IT infrastructure to AWS in an effort to deliver better experiences to its customers.

The company moved 118 applications and 668 servers to AWS within 17 months without adding headcount or budget.

By moving to AWS, Live Nation has moved from troubleshooting hardware to delivering on innovative ideas that serve its customers better. Since implementation, Live Nation realized a 58-percent reduction in total cost of ownership, supported 10 times as many projects with the same staff, and saw a 99-percent improvement in application availability.