Tag: Machine Learning

By leveraging the full capabilities of Amazon SageMaker Studio, Hugging Face and AWS are also enabling developers to choose their own machine learning framework such as PyTorch or TensorFlow for running NLP containers with one or multiple GPUs. Here’s how they’re doing it.

As an investor, Eric Jensen, co-founder and CTO of Causality Link, was frustrated with how difficult and time consuming it was to project trends in financial markets. Too often, he found there was either no information available or only regurgitated sources, and he decided to change how investors consume information to make decisions. Eric started Causality Link to empower investor decisions with natural language processing (NLP) and provide information from around the globe in a consolidated and interactive platform.

The body is often a mystery, and it’s nice when an external source is able to provide expert, evidence-based information about it. Flo App, a holistic health and wellbeing platform that helps women understand their bodies and minds, was built to do just that. Founded in 2015, Flo supports women as they make better informed decisions about their reproductive, physical, and mental health.

Founded in 2016, Kavak is the digital platform that’s making it easier than ever to buy and sell cars. The Mexico City-based founded startup recently achieved “unicorn” status after reaching a $1.15 billion valuation, the first tech company in the country to do so. As Kavak expands its operations to Argentina and sets sights on Brazil, we sit down with Vice President of Data Science, Anders Christiansen, to chat about how machine learning and AWS serverless services helped build the engine behind the company’s ever-improving workflow.

All medical coding must be compliant with the Health Insurance Portability and Accountability Act (HIPAA), which has strict digital privacy rules in order to protect patient health information (PHI). Here’s how Nym Health does it with 98% accuracy.

The fight against breast cancer has made progress over the past two decades thanks to advances in treatment and screening. But while mortality rates from the disease have fallen for women over 50, they remain frustratingly steady for younger women. Onkolyze, a startup based in Singapore, is hoping to help solve just that problem by applying high-powered AWS GPUs and ML, making early detection much easier.

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.

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?

SmartWinnr is a gamified sales productivity platform that helps large distributed teams to sell smarter, better, and faster. The platform helps to drive sales results through virtual sales contests, remote video coaching, and virtual sales training. 

The Teraki platform, built by AI startup Teraki, automatizes intelligent sensor processing for telematics, video, and 3D point cloud data. The platform is developed with a single ideological concept/goal: Deliver scalability to manage the increasing need to handle sensor data from vehicles and devices in high volumes. Here’s how the team is leveraging AWS IoT services to do it.