Customer Stories / Advertising & Marketing Technology
2020
Nielsen Builds Cloud-Native Data Reporting Platform on AWS
Scott Brown
General Manager of TV & Audio, Nielson
AWS Services Used
Amazon S3
Object storage built to retrieve any amount of data from anywhere
Amazon Redshift
Fastest, easiest, and most widely used cloud data warehouse
AWS Lambda
Run code without thinking about servers or clusters
Learn more »
Amazon EMR
Easily run and scale Apache Spark, Hive, Presto, and other big data workloads
Learn more »
Discover how data drives transformation
More Advertising and Marketing Technology Customer Stories
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Other
Sony Unifies Platform on EKS, achieving 5x Faster Deployments & 60% Lower Costs
Sony Interactive Entertainment leveraged Amazon EKS to achieve 60% lower operational costs, 5x faster deployments, and 93% reduced time to market. The migration of 400+ microservices resulted in zero downtime, while standardizing development processes and reducing training time from 16 to 3 hours. -
Belgium
Cloudar Helps Ladrokes.live Transform The Sports Fan Experience With Cloud-Native Scalability
Ladbrokes.live, a provider of streaming sports entertainment content operating in Belgium, was grappling with critical challenges that hindered their ability to attract and retain users. Partnering with AWS Partner, Cloudar—also based in Belgium—the company transitioned to a cloud-native architecture powered by Amazon Web Services (AWS) technologies. This transformation enabled Ladbrokes.live to deliver a seamless, personalized user experience featuring avatars that can be customized to deliver information and statistics relevant to the viewers’ interests, in their language of choice. The solution also helped Ladbrokes.live optimize operational costs and set the stage for continuous innovation in a highly competitive industry.
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India
Arré Voice Enhances User Engagement and Reduces Latency by 90% with DataStax Astra DB and AWS
Arré Voice wanted to enhance user engagement on its digital media platform with personalized content recommendations. The company needed a scalable solution capable of processing large volumes of user data while supporting artificial intelligence (AI)-driven algorithms for content personalization. By transitioning to a microservices architecture, using Amazon Web Services (AWS), and implementing Astra DB, a vector database from AWS Partner DataStax, Arré Voice enabled real-time data handling and improved operational efficiency. Astra DB’s query capabilities and developer tools facilitated the rapid development of its recommendation engine, which now generates over 30 million personalized suggestions per month with a 90-percent reduction in latency.
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United States
AWS Partner Loka Helps Cameo Enhance Personalized Celebrity Video Discovery
Cameo, an online marketplace connecting fans with over 50,000 celebrities for personalized video messages, teamed up with AWS Partner Loka to develop a chat-based discovery process using generative AI. This solution aims to provide a more personalized and efficient experience by engaging users in conversation to understand their needs and preferences, then recommending relevant categories and celebrities. The solution leverages Claude on AWS Bedrock to improves conversion rates, reduce time to purchase, and increase customer satisfaction by streamlining the discovery process.
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