AWS Startups Blog

Category: Analytics

BondEvalue: Disrupting Regulated Bond Markets with Cloud Strategy

Bond markets are huge, far larger than stock markets, with over eight million securities in contrast with only six hundred thousand stocks. They are also far more complex than equities. Minimum investment of $200,000 for most popular bonds means most non-institutional investors cannot invest in bond markets! That’s where fintech and blockchain startup BondEvalue comes in.

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tow men sitting in an office having a discussion about 1mg

1mg: Building a Patient Centric Digital Health Repository – Part 2

Utkarsh Gupta, Lead Data Scientist at 1mg.com walks us through how the healthcare startup is building a patient-centric digital health repository. In part 2 of this series, he discusses how the infrastructure described above can be used for large scale machine learning applications and the ways to deploy them in production.

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Yewno Uses AWS and ML to Analyze Vast Amounts of Data

The mass digitization of information has made finding the right thing online difficult to say the least. This is precisely the problem Yewno was founded to solve. Leveraging sophisticated AI, built with AWS, the startup analyzes millions of information sources in real-time. Rather than simply hunting for keywords, the startup’s algorithms read text, understand context and meaning, and explain why things are connected.

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redBus: Building a Data Platform with AWS & Apache Software Foundation

As future data requirements cannot always be planned much ahead of time, data warehousing effort is generally subdued by first creating a data lake, which is a pool of centralized data ready to be transformed based on use cases. A means for accessing and analyzing this data makes it easier for knowledge workers to make good informed decisions. Here’s how Indian bus ticketing platform Redbus does it.

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How Komodo Health Enables Self-serve Analytics with a Multi-tenant Notebook Platform on EKS and EMR 6

​Komodo Health​, has been growing rapidly in our mission to reduce the global burden of disease by building software and data products based on a foundation of health data. Their Healthcare MapTM captures the experiences of more than 320 million Americans (de-identified) as they move through the healthcare system. As they grew, they needed to evolve our infrastructure to reduce costs, scale access, improve engineering productivity, and improve resource efficiency.

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A Data Lake as Code, Featuring ChEMBL and OpenTargets

AWS Startup Solutions Architect Paul Underwood believes that a data lake is just another complex and heterogeneous infrastructure problem. In this post, he illustrates how you might build a data lake-as-code using the AWS Cloud Development Kit (CDK). Underwood will outline the strategy, core data lake services used, associated costs, and how you can tie it all together with code.

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