AWS Startups Blog
Category: Artificial Intelligence
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.
Explorium Leverages AWS to Power Its Data Enrichment for ML Platform
Finding the right data, both internally and externally, for your ML can be a huge pain, though. It’s often dirty, hidden behind paywalls, or just not enough to give a full view of a situation. This is where Explorium comes in.
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.”
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.
VXG Enables Any Camera to Leverage the Latest in AI-based Video Technology
VXG is a startup that connects existing enterprises with the newest AI-based video analysis services, like Amazon Rekognition. Companies can easily link their existing network of cameras to VXG’s platform and receive automated analysis at scale, effectively making any camera a smart camera.
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.