Sign up to save your podcasts
Or
Share Techsplainers by IBM
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
Techsplainers by IBM
Techsplainers by IBM episodes
- What is data reliability?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.9 min
- What are data quality dimensions?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.9 min
- What is data quality?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.7 min
- What code LLMs mean for the future of software developmentThis 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.9 min
- What is COBOL modernization?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.8 min
- What is legacy code?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.8 min
- AI code documentation: Benefits and top tipsThis episode of Techsplainers examines how AI tools are revolutionizing code documentation, saving developer time while creating more consistent, comprehensive, and maintainable software documentation.8 min
- What is code refactoring?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.8 min
- iPaaS examples and use casesThis 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.10 min
- What is iPaaS (integration platform as a service)?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.7 min
About Techsplainers by IBM
From the publisher's feed
Introducing the Techsplainers by IBM podcast, your new podcast for quick, powerful takes on today’s most important AI and tech topics. Each episode brings you bite-sized learning designed to fit your day, whether you’re driving, exercising, or just curious for something new.
This is just the beginning. Tune in every weekday at 6 AM ET for fresh insights, new voices, and smarter learning.
Visit podcast page: https://www.ibm.com/think/podcasts/techsplainers