AWS Startups Blog

Tag: Technical Use Cases

Enabling AI and Machine Learning Model Training with Teraki

The Teraki platform, built by AI startup Teraki, automatizes intelligent sensor processing for telematics, video, and 3D point cloud data. The platform is developed with a single ideological concept/goal: Deliver scalability to manage the increasing need to handle sensor data from vehicles and devices in high volumes. Here’s how the team is leveraging AWS IoT services to do it.

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Advancement in Fraud Detection: ML in Online Survey Research

The transition of the market research industry away from telephone and face-to-face interviews towards online platforms has massively increased the speed and reach of data collection. Modern online survey platforms, such as Dalia Research’s, allow millions of users every day to share their thoughts on politics, social issues, or consumer behavior. However, survey fraud is also on the rise. Here’s how Dalia’s leveraging machine learning to remedy it.

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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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STACS: Implementing a Scalable Access Management Solution using Amazon Cognito and API Gateway

Hashstacs Pte Ltd (“STACS”) is a blockchain development company and technological solutions provider for the financial world. STACS enables financial institutions to realize new revenue generating and operational efficiency use cases. Their team walks through how they leveraged Amazon Cognito and Amazon API Gateway to build a fine-grained access management solution.

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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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