Sometimes you may want to limit the amount of analytics data coming into Moesif. This could be because you want to exclude specific traffic, such as internal or health check traffic, or you may want to reduce unnecessary data to control cost. Dynamic Sampling, available to customers on our Enterprise plan, was built to do just this. Dynamic Sampling lets you control which API calls are logged to Moesif based on customer or API behavior.
Machine learning is used across industries and user communities for a wide variety of predictive analytics needs – use cases ranging from sales forecasting to churn reduction, customer lifetime value, inventory optimization, capital allocation and more.
Data can deliver value informationally or operationally, and the difference is key to understanding your team’s output.
In this post, we'll dive into ractors in Ruby, exploring how to build a ractor. You'll send and receive messages in ractors, and learn about shareable and unshareable objects. But first, let's define the actor model and ractors, and consider when you should use ractors.
Developers frequently choose Ably for building chat applications or to provide chat functionality in their products. While dev teams in different companies have different priorities, overall our customers tell us that using our serverless WebSockets platform frees them to fully focus on delivering the best possible core user experience. Just like our customers, we too like to keep our users happy.
Insurance companies, like those across many other industries, struggle with systemic issues brought on by disjointed, outdated core technologies. To help minimize the strain disconnected systems can cause, Appian invests in experts with years of first-hand experience to deliver digital solutions that can increase efficiency and improve the customer experience.
Cloudera Machine Learning (CML) is a cloud-native and hybrid-friendly machine learning platform. It unifies self-service data science and data engineering in a single, portable service as part of an enterprise data cloud for multi-function analytics on data anywhere. CML empowers organizations to build and deploy machine learning and AI capabilities for business at scale, efficiently and securely, anywhere they want.
