AI-assisted monolith to microservices transformation
This whitepaper explores the toughest challenges in transforming monoliths into microservices and where Cadmus Logic.AI ReGenX can help.
This whitepaper explores the toughest challenges in transforming monoliths into microservices and where Cadmus Logic.AI ReGenX can help.
Cadmus introduces self-healing test scripts, a solution that combines heuristic logic and identification driven by AI to automatically adapt to UI changes.
Cadmus played a critical role in migrating legacy data and processes, re-engineering complex ETL from SQL Server/SSIS to scalable Palantir Foundry pipelines, and transforming the user experience from static “canned” reports to near-real-time, self-service analytics.
In the rapidly evolving landscape of enterprise software development, efficiency, scalability, and innovation are not just goals—they are requirements. As organizations maneuver increasingly complex systems
Achieve a seamless transition to a modern, cloud-native infrastructure with Cadmus’ repeatable approach for rapidly and accurately converting DataStage workflows into AWS cloud-native equivalents.
The key to Freddie Mac’s mission and success is to be an engaged and informed partner to banks and lenders. Large swings in loan processing volume, high or low, can be an early sign of trouble for Freddie Mac’s sellers.
Data modernization POC provides improved and immediate access to predictive insights, built with an out-of-the-box solution Client USDA FPAC Need USDA FPAC’s workforce lacks access
Designing a way for CMS and the CDC to update legacy data transfer almost overnight — during a pandemic
Cadmus, a leading provider of technical and strategic expertise to governments, energy utilities, and private sector companies worldwide, announced that it has been named the winner of Track 1 – Load Modeling by the U.S. Department of Energy’s (DOE’s) Office of Electricity (OE) in Phase 2 of American-Made Digitizing Utilities Prize.
