AWS Startups Blog
Category: Artificial Intelligence
Klaviyo Delivers Personalized Marketing Solutions Using Amazon SageMaker
It’s long been held that in great amounts of data lie opportunities for great marketing. Klaviyo, a marketing platform for e-commerce businesses, uses Amazon SageMaker to deliver on this promise for over 42,000 brands around the world.
Root Insurance Leverages ML and Amazon SageMaker to Offer Fair Insurance Rates
Founded in 2015, Root Insurance utilizes the technology in your mobile phone and Amazon SageMaker to offer smarter, fairer, insurance prices based on actual driving data.
Splice Leverages ML to Connect Musicians With the Building Blocks for Creativity
Over the years, the physical act of producing music has become increasingly technical. On the forefront of this innovation is Splice, a music creation platform that uses advanced machine learning to take things to the next level.
Why Cybersecurity Startup ActZero Migrated Its ML-based Platform to AWS
Founded in 2019, ActZero is an ML-based cybersecurity company that equips small to medium-sized businesses to detect and manage breaches. The Seattle-based startup is now aggressively scaling after completing a full migration to AWS.
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.
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.
Axial3D: Powering the Revolution in Medical 3D Printing with Amazon SageMaker
Axial3D uses EC2 to host the infrastructure that allows surgeons to easily and quickly place orders to request a 3D printed model. They store the images on S3 and record metadata about them on DocumentDB, allowing them to quickly and easily track and sort their data.
Aiconix Transforms the Way Companies Use Their Content
Analysts estimate that by 2021, videos will account for over 80% of consumer internet traffic. To stand out companies and brands will need to maximize the value of their content and understand how a story, a posting, a video can be optimized to leverage consumers interest. Identifying and owning the relevant data to achieve this is just the first step in the new workflow. Aiconix, named one of the 30 most promising startups in the German speaking regions by Forbes magazine, is doing just that.