AWS Startups Blog
Category: Amazon SageMaker
Cost Effective Data Science for Startups: Memory Mapped Techniques with Amazon SageMaker
Being able to choose really powerful instances to reduce your training time on demand, paying only for the seconds you use them, and at the same time having the choice of your notebook instances in your favorite tooling opens large opportunities for cost savings and productiveness across startups. AWS Startup Solutions Architect Manager Daniel Bernao walks us through how to do it.
Tecton Feature Store Brings DevOps to ML Data
Founded in 2019, Tecton is on a mission to simplify the process of building and productizing data for machine learning, in an effort to make the technology accessible to any company. Instead of having data scientists and data engineers operating in silos and spending months implementing data pipelines, Tecton automates the complete lifecycle of data for ML.
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.
Fiddler Uses AWS to Makes it Easy for Companies to Explain ML Models
These days it seems like artificial intelligence and machine learning are being applied to everything. What’s been lost in the rapid popularization of the technologies is the ability to easily explain how they work. That’s where Fiddler comes in.
Fairmarkit Uses Smart Sourcing to Reduce Tail Spend and Optimize Procurement
Fairmarkit is an intelligent sourcing platform that enables organizations to more efficiently purchase goods and services. When it came to solving the recent PPE problem that arose with COVID-19, Fairmarkit was able to use their large dataset to identify new, lesser-known suppliers, connect them with large enterprises, and direct more than three million units of PPE to the front lines.
Engineering Engagement: Mesh CEO Saurabh Nangia on Leveraging Data Analysis to Foster Personalized Employee Experiences
Employee experience is fundamental to a business’s success, which is why startup Mesh has developed an intelligent social network for companies that makes it easy for employees to manage goals, share feedback, and conduct check-ins.
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.