AWS Startups Blog
Category: Amazon SageMaker
Periscope Data Builds ML Solution With Amazon SageMaker
When it comes to transforming floods of raw data into clear, decisive business intelligence, Periscope Data remains on the cutting edge. To keep their commitment to their consumers, Periscope Data has developed a machine learning solution that leverages Amazon SageMaker as a core part of its machine learning workflow.
How Emojer Leverages ML for Custom Emoji Creation
If you spend any time on Twitter, you’re bound to see various complaints of why certain people and objects aren’t represented in the official emoji register. This is just the problem that the team at Emojer, a recent graduate of the Y Combinator Summer 2018 batch, is looking to solve.
Fiverr Relies on SageMaker to Streamline and Simplify Machine Learning Models
When it came time for Fiverr to analyze the data around user behavior on its platform, the freelance services website did what many modern businesses do in terms of recruiting the right tool for the task: they engaged Amazon Web Services’s SageMaker. Amazon SageMaker is an API that enables developers and data scientists to readily build, teach, and position machine learning models to serve any need and at any scale.
SageMaker Takes the Heavy Lifting Out of Machine Learning
To get a better understanding of the service and how it came to be, we sat down with one of the product managers of SageMaker, Kumar Venkateswar. He told us about what the team set out to build, the problems they were looking to fix, and what startups are currently using the service.