AWS Startups Blog

Category: Artificial Intelligence

Discover four Pakistani startups at the forefront of AI/ML

AWS and Epiphany co-curate an AI/ML bootcamp called AI/ML Reactor. This rigorous 5-week virtual program aimed at driving AI/ML awareness and empowering startups in Pakistan and includes exclusive master classes, a group tech mentoring session, and one-on-one mentoring sessions with AWS specialists and thought leaders.

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.

How Amazon Textract helped Fyle boost data extraction accuracy

Originally, Fyle’s Data-Extractor service relied on an external service provider for optical character recognition (OCR) and Fyle’s internal machine learning algorithm to detect amount, category, date, currency, and vendor information. Unfortunately, they were receiving some feedback from customers that their tool wasn’t very accurate. As you can imagine, this isn’t the best place to be, so they rewrote their Data-Extractor service to use Amazon Textract because of its intuitive web console for APIs, which allowed them to test APIs in real-time with personalized input. This let them quickly try out an Amazon Textract API, which helped them achieve their goal of turning around a solution in two months. After implementing their new solution, Fyle saw 51.7% improvement in accuracy for the Data-Extractor service.

How Latino startup founders are advancing healthcare equity

As with all best forms of innovation, great ideas stem from true need. In Mexico, there is a need for an equitable, efficient, and sustainable healthcare system. Latino startup founders are addressing this need and advancing healthcare equity by leveraging artificial intelligence (AI) to drive better patient outcomes.

Building Community with Common Room and AWS

Communities are vital to the health of individuals and companies, but they can be sprawling, disjointed, and difficult to grasp—especially online. Enter Common Room, which co-founder and Chief Architect Tom Kleinpeter describes as a community-intelligence platform that provides a single view into everything that’s important in your online community, across all the different places it might be happening.

Carsome: Leveraging Automatic Car Plate Masking on Amazon SageMaker to Focus on Growth

Carsome is Southeast Asia’s largest integrated car ecommerce platform. With operations across Malaysia, Indonesia, Thailand, and Singapore, they aim to digitize the region’s used car industry by reshaping and elevating the car buying and selling experience. Here’s how they’re using Amazon SageMaker to free up resources to innovate.

Next Generation Data Management for Clinical Trials & Research Built on AWS

Cumbersome, disparate data sources in highly regulated environments have historically obstructed longitudinal patient views in clinical research. To help clients generate maximum evidence from trials, Precision Digital Health (PDH) developed a cloud-based platform capable of integrating and harmonizing disparate data assets in the R&D and life sciences industry.

Image of a group of vials filled with blue liquid on a table

Accelerating Drug Development with Amazon Comprehend at Sumitovant

Sumitovant Biopharma seeks to discover the drugs of the future and rapidly get them to the patients who need them. Scientific research is key to their endeavor. To help us bring medicines to market faster, they need to pick out specific insights from the ever-growing body of literature on chemistry, biology, and disease. So they turned to Amazon Comprehend.