Qualified data providers include category-leading brands such as Reuters, who curate data from over 2.2 million unique news stories per year in multiple languages; Change Healthcare, who process and anonymize more than 14 billion healthcare transactions and $1 trillion in claims annually; Dun & Bradstreet, who maintain a database of more than 330 million global business records; and Foursquare, whose location data is derived from 220 million unique consumers and includes more than 60 million global commercial venues. For qualified data providers, AWS Data Exchange makes it easy to reach the millions of AWS customers migrating to the cloud by removing the need to build and maintain infrastructure for data storage, delivery, billing, and entitling. Enterprises, scientific researchers, and academic institutions have been using third-party data for decades to conduct research, power applications and analytics, train machine-learning models, and make data-driven decisions. But, as these customers subscribe to more third-party data, they often have to wait weeks to receive shipped physical media, manage sensitive credentials for multiple File Transfer Protocol (FTP) hosts and periodically check for updates, or code to several disparate application programming interfaces (APIs). These methods are inconsistent with the modern architectures customers are developing in the cloud.
AWS Data Exchange makes it easy to find, subscribe to, and use third-party data in the cloud. Data scientists, data analysts, and developers in nearly every industry use AWS Data Exchange for access to 3rd-party data to drive analytics, train machine-learning models, and make data-driven decisions. Today, AWS Data Exchange contains over 2,300 data products from 120 providers from a broad range of domains including healthcare, financial services, retail, and more. The AWS Data Exchange Challenge is an opportunity for you to show off your skills, learn something new, collaborate with other developers, and get a shot at part of $35,700 in prizes. You're invited to build solutions to answer tough questions using 3rd-party data products from AWS Data Exchange.
Reuters, the world's largest multimedia news provider, announced today that it has joined the newly launched AWS Data Exchange to provide access to trusted news and data to Amazon Web Services (AWS) customers. Even more enterprises will now have quick access to Reuters trusted, independent and impartial news content and data, which are produced by 2,500 journalists in more than 200 locations globally, to power their artificial intelligence (AI) applications. "Reuters is constantly seeking new ways to broaden the reach of our independent, trusted and unbiased news content and data. We are excited to be among the first providers of such content in AWS Data Exchange, where our multi-language news data will be made available to a diverse range of AWS customers around the globe," said Alphonse Hardel, Global Head of Business Development and Strategy, Reuters at Thomson Reuters. "With the increasing demand across industries in using news content to train and power their mission critical AI and analytics applications on the cloud, the depth and accuracy of Reuters coverage means AWS customers are now able to seamlessly access the highest quality of data from AWS Data Exchange," added Hardel.
Over the past several years, organizations have had to move quickly to deploy new data technologies alongside legacy infrastructure to drive market-driven innovations such as personalized offers, real-time alerts, and predictive maintenance. However, these technical additions--from data lakes to customer analytics platforms to stream processing--have increased the complexity of data architectures enormously, often significantly hampering an organization's ongoing ability to deliver new capabilities, maintain existing infrastructures, and ensure the integrity of artificial intelligence (AI) models. Current market dynamics don't allow for such slowdowns. Leaders such as Amazon and Google have been making use of technological innovations in AI to upend traditional business models, requiring laggards to reimagine aspects of their own business to keep up. Cloud providers have launched cutting-edge offerings, such as serverless data platforms that can be deployed instantly, enabling adopters to enjoy a faster time to market and greater agility.
Oracle has been investing heavily in making it easier to weave AI and machine learning capabilities into a variety of applications, especially its Oracle Adaptive Intelligent Applications. In theory, this should facilitate automating many aspects of ERP, supply chain and revenue-management processes. But as with most cutting-edge technologies, the devil is in the details. Melissa Boxer, vice president of adaptive intelligence at Oracle, explained what these capabilities mean in practice. The vendor considers its Oracle Adaptive Intelligent Apps a strategic initiative to develop next-generation smart applications using big data on top of the Oracle Cloud.