AWS Startups Blog

Category: 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.

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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.

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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.

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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.

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