AWS Startups Blog
Tag: Guest Post
Online Proctoring Renaissance Powered by Artificial Intelligence and Machine Learning
Education startup Honorlock has innovated exam integrity by introducing a browser extension rather than a software download, launching exam content protection technology (Search & Destroy™), detecting secondary devices during exams (Multi-Device Detection™), and providing human voice detection. They have also deployed a hybrid approach to exam proctoring, combining both AI and ML), with live human proctors (Live Proctor Pop-In™). Here’s how they’re doing it.
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.
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.
1mg: Building a Patient Centric Digital Health Repository – Part 1
Utkarsh Gupta, Lead Data Scientist at 1mg.com walks us through how the healthcare startup is building a patient-centric digital health repository.
Mistplay: Improving Business Analytics with Amazon S3 & Amazon Athena
In this post, gaming startup Mistplay will explain why and how they migrated from Firebase and BigQuery to Amazon S3 and Amazon Athena, and how this improved their analytics capability, cost structure, and operations.
Migrating web services from Amazon Lightsail to EC2
At Bugout.dev, the Palo Alto-based startup I founded last year, we build a search engine for programmers. As such, we run many experiments involving features that enrich results from our search indices before we display those results to our users. Most of these features require us to deploy backing web services.
Tests Not Included: How LoanStreet Built a PPP Platform In One Week
LoanStreet is the first fully-integrated, online platform that streamlines the process of sharing, managing, and originating loans for credit unions, banks, and direct lenders. Many of LoanStreet’s clients lend to small businesses and individuals, those most in need of funding from the Paycheck Protection Program (PPP) and unable to snag a piece of the initial $310bil.
Their clients were relying on them to get their loans funded. The only catch: a hard deadline of one week. Here’s how they did it.
Building Managed Services: Architecting Ahana Cloud for Presto with the In-VPC Deployment Model
Ahana is the startup that provides the first cloud-native managed service for Presto, the fast-growing, open source distributed SQL engine. Backed by GV (formerly known as Google Ventures) and Lux Ventures, the Ahana team includes experts in Presto, AWS, and big data. This blog post discusses how AWS users have evolved their big data requirements and how the team architected our managed service offering, highlighting the best practice of providing an “In-VPC” deployment. We hope other infrastructure software startups can benefit from sharing some of the key learnings that led to the launch of Ahana Cloud for Presto on AWS.
IntelloLabs Cuts Down on Fresh Produce Wastage using AI and Computer Vision
$500 billon worth of food is wasted or lost every year, around the world. One billion extra people could be fed if food losses could be halved. We all know technology can do wonders, and its adoption in agriculture is pacing up – that’s where India-based Intello Labs comes in. Their VP of Sales walks us through how they used AWS to create a computer vision-driven solution to help eliminate food waste.
Amazon DynamoDB on Production: FinBox’s Compilation of Lessons Learned in a Year
FinBox is a comprehensive digital lending platform with a focus on underwriting using alternative data. For one of FinBox’s products DeviceConnect, they provide a credit score based on enriched mobile device data for customers. At the time of writing this article, they were scoring close to a million customers per month and ingesting close to 80 GB of new data every day. DeviceConnect makes heavy use of Amazon DynamoDB. Here are the lessons they learned after using DynamoDB in the product for the last year.