AWS Startups Blog

Category: Artificial Intelligence

How Startups Deploy Pretrained Models on Amazon SageMaker

For most machine learning startups, the most valuable resource is time. They want to focus on developing the unique aspects of their business, not managing the dynamic compute infrastructure needed to run their applications. Productionizing machine leaning should be easier, and that’s where AWS comes in. In this blog post and corresponding GitHub repo, you will learn how to bring a pre-trained model to Amazon SageMaker to have production-ready model serving in under 15 minutes.

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Understanding the New World of Office Space with Basking

Overnight, the COVID-19 pandemic reshaped how and where Americans work. By June, according to a survey from Stanford researchers, 42% of the U.S. labor force was working from home full time, with millions more not working at all. For employers, that shift has led to new challenges as they navigate an unprecedented economy. One big question: what to do with all the empty offices?

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Emedgene’s Migration to AWS for its AI-based Genomics Insights Platform

Founded in 2015, Emedgene has built an AI-based platform to automatically surface insights from genomics data. Previously, this data would need to be analyzed by genomics experts, of which there are only a few thousand around the world. Emedgene applies machine learning algorithms to generate these insights on the fly, essentially teaching computers how to be genetic researchers.

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Advancement in Fraud Detection: ML in Online Survey Research

The transition of the market research industry away from telephone and face-to-face interviews towards online platforms has massively increased the speed and reach of data collection. Modern online survey platforms, such as Dalia Research’s, allow millions of users every day to share their thoughts on politics, social issues, or consumer behavior. However, survey fraud is also on the rise. Here’s how Dalia’s leveraging machine learning to remedy it.

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Audioburst Featured Image

Why Audioburst Migrated its Kubernetes-based System to AWS

Audioburst is on a mission to build the world’s largest talk audio repository, enabling anyone to easily search for and share content. Initially, the company launched on Azure, but has since fully migrated to AWS for managing its Kubernetes-based system. Since moving, Audioburst has been able to take advantage of multiple other services within the AWS ecosystem, such as Amazon Transcribe. Watch the above video to hear from CTO Gal Klein on what went into the decision to migrate and how it’s been since the move.

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Synthesis AI FI

Synthesis AI’s Generative AI Platform is Set to Fuel the Next Wave of Computer Vision Innovation

San Francisco-based Synthesis AI has developed technology that generates vast quantities of photorealistic images and pixel-perfect labels to optimize computer vision training. “The world is exploding with cameras,” says Synthesis AI CEO Yashar Behzadi. “As we look at the new world of autonomous vehicles, augmented reality, and virtual reality, we’ve been fundamentally limited by traditional approaches.”

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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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