Category: Amazon EMR
The mass digitization of information has made finding the right thing online difficult to say the least. This is precisely the problem Yewno was founded to solve. Leveraging sophisticated AI, built with AWS, the startup analyzes millions of information sources in real-time. Rather than simply hunting for keywords, the startup’s algorithms read text, understand context and meaning, and explain why things are connected.
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.
Among the most common complaints and concerns about optimizing big data clusters and applications is the amount of time it takes to root-cause issues like application failures and slowdowns. Here’s a detailed look at how big data startup Unravel helps.
Founded in 2016, intermix.io enables data engineers with the tools they need to be successful. This in turn enables the data scientists to actually be successful. But how does the startup do it?
Yotam Spenser, Head of Data Engineering at WalkMe, discusses the nature of the WalkMe Insights product offering, some of the challenges that arose as they developed this technology, and how they came to a solution.