This episode of Techsplainers explores data reliability—how organizations measure, maintain and improve the consistency and accuracy of their data to enable trusted insights and better decision-making.

This episode of Techsplainers examines the six core data quality dimensions that form the foundation of trusted data for analytics and AI: accuracy, completeness, consistency, timeliness, validity, and uniqueness.

This episode of Techsplainers explores data quality, examining the seven dimensions that determine if data is fit for purpose and how poor quality data undermines AI systems and business decisions.

This episode of Techsplainers examines Code LLMs—specialized AI models trained on programming languages that help developers write, understand, and improve code through AI-powered assistance.

This episode of Techsplainers examines COBOL modernization approaches—from rehosting and refactoring to complete replacement—helping organizations evolve critical legacy systems while preserving valuable business logic.

This episode of Techsplainers examines legacy code challenges and strategies, from incremental modernization to service wrappers, helping organizations maintain vital systems while evolving their tech landscape.

This episode of Techsplainers examines how AI tools are revolutionizing code documentation, saving developer time while creating more consistent, comprehensive, and maintainable software documentation.

This episode of Techsplainers explores code refactoring—how developers restructure code to improve quality while maintaining functionality, using techniques like Extract Method and removing duplication.

This episode of Techsplainers explores iPaaS use cases across industries, from automating workflows to connecting applications, with real-world examples of how this integration technology drives digital transformation.

This episode of Techsplainers demystifies iPaaS—cloud-based integration platforms that connect diverse apps and data sources, helping organizations break down silos and automate workflows without complex coding.