AWS Startups Blog

Tag: AIML

Accelerating AI/ML Scaling and AI development with Anyscale and AWS.

Accelerating AI/ML scaling and AI development with Anyscale and AWS

Building a cloud-distributed and scalable artificial intelligence (AI) application is a cross-team effort that requires complicated management of resources and comes with numerous production concerns such as code changes, refactoring, setting up the infrastructure, and complex developer operations (DevOps). These can confuse the development process, slow down time-to-market, and keep developers from focusing on product innovation.

Meet Astro — Astronomer's managed Apache Airflow service built and hosted on AWS

Meet Astro — Astronomer’s managed Apache Airflow service built and hosted on AWS

For data to be useful in a modern enterprise, it must be collected and centralized from various sources, processed across a growing ecosystem of tools, and fed to systems across an organization in a way that’s consumable across teams. This data orchestration —weaving business logic through the data stack for everything from dashboards to personalization algorithms — requires hundreds, if not thousands, of data pipelines.

A Startup’s Guide to AWS Services Series 5: Analytics and Automation – Superhighways to Scale

When time and resources are often stretched as far as they can go, and various branches of the infrastructure need to communicate, AWS can help startup founders and developers bridge the gap through Data insights to uncover customer needs. When paired with automation and machine learning, these services can put startups on a growth superhighway.

Learn How to Grow Your Startup with Machine Learning on Twitch

While Machine Learning can get quite complex, you don’t need a team of expensive Data Scientists and ML Engineers to gain real value from it. Check out our upcoming Twitch series for hands-on training with our AWS ML experts, and work through a variety of typical startup use cases from generating personalized customer recommendations to improving marketing efficiency.

How Navina Leverages the Full AWS Toolkit to Make Data Work for Doctors and Patients

Founded in 2018, Navina is leveraging the full AWS toolkit to improve the human-to-human interactions at the heart of healthcare. “[The result is] a better physician experience,” says Anne Amario, Navina VP of Marketing, as well as “better diagnosis and care.” Learn how Navina is driving better patient outcomes and preserving physicians’ revenues.

Automating Unstructured Data Processing with Amazon SageMaker

The super.AI platform helps customers to transform processes involving unstructured data such as images, videos, text, documents, and audio and automate them using a combination of AI, software, and humans. Their customers requested a more efficient, highly accurate labeling mechanism, so they eleased a new feature where the pipeline pre-processes data points using an ML model running on Amazon SageMaker.

Hacking for Social Good: How AWS Hypercharged Our Hackathon

Nonprofits are often overwhelmed by the amount of data they accumulate, and lack the resources to generate value from it. In response to this challenge, charitable organization Data Science for Social Good (DSSG) Berlin was founded. As part of their mission to enlist volunteer data scientists and analysts to help nonprofits use their data properly, DSSG Berlin hosted Datathon, a data science hackathon powered by AWS services.