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Go from Data Warehouse to Data and AI platform with BigQuery
Build, train, and run ML models with simple SQL. Automate data prep, analysis, and predictions with built-in AI assistance from Gemini.
BigQuery is more than a data warehouse—it's an autonomous data-to-AI platform. Use familiar SQL to train ML models, run time-series forecasts, and generate AI-powered insights with native Gemini integration. Built-in agents handle data engineering and data science workflows automatically. Get $300 in free credit, query 1 TB, and store 10 GB free monthly.
Feature rich insurance quote & buy system for underwriters and brokers
OpenUnderwriter is an open source software house specialising in the development of IT solutions for the insurance market.
Specialists in the areas of eBusiness and component based development, the team has developed technology for a number of major insurance companies.
The OpenUnderwriter platform has been collaboratively developed by some of the best technical brains in the Insurance Industry and offers a viable alternative to traditional solutions. To date, OpenUnderwriter has been...
Java Library to generate license for your application.
This is a free and open source java library to generate license for your application. Use this library to make your custom license file with your own extension. It encrypts the license file with the one time pads encryption technique to make it hard to break. The generated license file can be set to expire after certain time, and also can be set to expire manually after a certain action.
Go from idea to deployed AI app without managing infrastructure. Vertex AI offers one platform for the entire AI development lifecycle.
Ship AI apps and features faster with Vertex AI—your end-to-end AI platform. Access Gemini 3 and 200+ foundation models, fine-tune for your needs, and deploy with enterprise-grade MLOps. Build chatbots, agents, or custom models. New customers get $300 in free credit.
A component-based modeling platform for deterministic and stochastic risk and capital models. The project was moved and now can be found under https://github.com/pillarone