Blogs

In today's business landscape, data is more abundant than ever before. In the context of financial operations, more data also comes with more data sources, maintenance and reconciliation requirements, which can be a significant investment of time and effort.

Take a look at the need for the technique of polling, and how we’ve integrated into the RapidCanvas platform for better user experience.

Discover how AI is transforming real estate lead generation by helping agents identify and target high-potential sellers.

Explore how AI and large language models are making data science more accessible to business users.

Explore a detailed comparison of various AutoML libraries based on RapidCanvas ongoing benchmarking study.

There are four main maintenance strategies that wind turbine operations teams and technicians can use in general with their hardware: reactive, preventive, predictive, and reliability-centered.

Reliability testing is an essential part of software testing that focuses on ensuring that a software application is reliable and performs consistently under various conditions. For multi-tenant applications like RapidCanvas, reliability testing becomes even more critical as the application is expected to serve multiple tenants simultaneously, each with their unique data and requirements.

Wind turbine operators are always looking for ways to increase efficiency and decrease costs. Predictive maintenance allows operators to identify and fix potential issues before they cause downtime.

Businesses can unlock hidden patterns and make data-driven decisions based on unstructured Excel data by using Machine Learning (ML) techniques