Systems | Development | Analytics | API | Testing

Managing Test Data is one of the most challenging aspects of testing and software development, especially as systems grow in complexity n require intricate, context specific data.....The need to generate, anonymize, and transform data at scale often consumes significant testing time and resources, which in turn impacts efficiency. However, without relevant test data, we cannot effectively trigger actions or observe system behaviors. LLM offer a powerful solution to this challenge by generating diverse and complex data structures on demand.

Speed Up Time-to-Revenue with Mortgage Process Automation Discover how leading lenders and advisors are cutting processing times from days to hours with up to 99.5% accuracy — all while staying FCA and GDPR compliant.

As part of our Women Leaders in Technology (WLIT) series on The AI Forecast, we’re joined by Avani Desai, CEO of Shellman, a leading cybersecurity firm. Each quarter, we’ll take a break from the regularly scheduled AI programming on The AI Forecast to direct our attention to this important topic in tech.

Hydronorth implements data-driven culture, insights, and democratization with Qlik.

Learn how Delphix simplifies data masking for Snowflake to protect sensitive data while maintaining its usability for analytics and AI. This demo explains why masking is critical for security and compliance, especially when managing large-scale data in the cloud.

Ever found yourself saying, "But it works on my machine!" when a bug pops up in a microservices environment? It's a common and frustrating problem. Unlike a monolithic application, microservices are a collection of independently deployed services that communicate with each other. This complexity makes it difficult to reproduce real-world issues on your local machine, as you may not have all the necessary services and dependencies running. But what if you could take a snapshot of a running application's behavior and bring it home for debugging?