Data infrastructure relies on a variety of data analytics tools and machine-learning capabilities, so DayTwo turned to several of the AWS ecosystem services. Specifically, they are utilizing AWS Lake Formation and AWS Deep Learning Containers in order to analyze large outputs. They’re also relying on Amazon SageMaker to manage all of their machine-learning and AI capabilities.
When Gil Elbaz and Ofir Zuk founded Datagen in 2018, it was with the purpose of re-inventing the broken process of how clients obtain data for computer vision network training. More specifically, they wanted to bring data simulation to every computer vision team in a continuous and scalable way.
In order to compete in today’s visual-first world, startups must deliver rich content quickly and flawlessly across all touch points, providing seamless and compelling user experiences. To successfully do this, they need an infrastructure with services that will allow them to run their workloads securely and rapidly.
For startups, speed is critical — you’re trying to move as quickly as possible to build your product and find product-market fit. However, it’s important not to ignore your security posture. Here are some simple steps you can take that will allow you to move quickly while still safeguarding your data.
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.
How Komodo Health Enables Self-serve Analytics with a Multi-tenant Notebook Platform on EKS and EMR 6
Komodo Health, has been growing rapidly in our mission to reduce the global burden of disease by building software and data products based on a foundation of health data. Their Healthcare MapTM captures the experiences of more than 320 million Americans (de-identified) as they move through the healthcare system. As they grew, they needed to evolve our infrastructure to reduce costs, scale access, improve engineering productivity, and improve resource efficiency.