AWS Startups Blog
Tag: Machine Learning
FloodMapp Leverages AWS for Real-Time Inundation Flood Mapping to Save Lives and Assets
FloodMapp is a world-first flood modelling solution, purpose-built for flood forecasting and early warning. Aimed at improving safety and preventing damage, FloodMapp provides highly accurate, real-time, property-specific, and dynamic flood inundation and depth insights for businesses exposed to flooding. It is 10,000 faster and 200 higher resolution than traditional models in an emergency response setting. Here’s how it works.
Rethink Debt Collection: How Machine Learning Improves your Receivables Management
No one wants to hear from a debt collection agency. Most people associate it with letters in red, capital characters, high charges with imaginative reasons and intrusive phone calls. Berlin-based fintech PAIR Finance’s mission is to change that with the help of Machine Learning, introducing you and your customers to a completely new debt collection experience.
PromoMii: Video Ads Powered by AWS Machine Learning
Creating a movie trailer takes time and most broadcasters and streaming platforms don’t have enough resources to do it. PromoMii, a UK startup, solves this problem with a unique blend of domain expertise and machine learning. Here’s how they do it.
Darktrace’s AI-based Cyber Security System Enables Companies to Spot and Stop Cyber Threats
Founded in 2013 by mathematicians from the University of Cambridge, Darktrace has developed an AI-based system for cyber security designed for the modern age. In this article, Mike Beck, Global Head of Threat Analysis at Darktrace, explains how their approach is similar to the human immune system.
How dely Uses Amazon SageMaker to Provide Personalized Recipe Recommendations
Since dely is able to create its own recipe content, the startup can control both human wave-attack based and rule-based annotation, as well as how to apply feedback from user activities. In particular, Amazon SageMaker allows dely to train and deploy models quickly without the cost of additional resources. Here’s how.
The Startup’s Guide to Building Machine Learning on AWS
Allie K. Miller the Head of ML Growth, Startups and Venture Capital and Emily Webber, Machine Learning Specialist Solutions Architect, both of AWS, walk through how to create an Amazon SageMaker notebook instance.
Reverie Labs: Scaling Drug Development with Containerized Machine Learning
Reverie Labs uses computation to drive the development of therapeutics for cancer. To do this, they’ve built substantial cloud-based infrastructure to train machine learning models, deploy models to production, and build and ship internal-facing applications for our chemistry teams.
Logograb uses ML to Help Marketers Quantify ROI at Scale
Nowadays, it seems like media and online advertisers have been in an ongoing battle between measuring their effort’s ROI and being dealt incorrect information from platform providers (Facebook, et al). Luckily there are startups working to help, like LogoGrab, a visual AI company that looks to help marketers quantify the impact of their brand at scale.
BrightFlag Uses ML to Bring Transparency to the Legal Industry
Historically, the legal industry benefited from a “that’s just the cost of doing business” attitude regarding its lack of transparency into billing. That’s all changing now however, with Dublin-based BrightFlag leading the way.
Web Summit 2019: Rohit Prasad on “Evolution from keyword searches to AI-enabled conversations”
“Alexa revolutionized daily convenience as we know it,” explained Rohit Prasad, VP & Head Scientist for Amazon Alexa, Nov. 5 at the Web Summit conference in Lisbon, Portugal. “The cognitive load shifted from customers to AI. You talk, Alexa answers back.”