Why AI Works in a Demo but Struggles With Your Data - Interview with CUBIG

George Firican hosts Ho Bae, co-founder and CEO of CUBIG, to explain why having data and capable AI still doesn’t translate into useful business outcomes. They argue that “AI-ready” must mean ready for a specific task, because the same dataset can work for one job and fail for another if examples, relationships, definitions, rules, or permissions are missing or disconnected. Ho Bae describes Syntitan, CUBIG's AI-Ready Data Platform, that sits between existing data foundations and AI usage, linking data preparation to task-specific checks. Examples include service case follow-up decisions, churn prediction, customer research, and a food supply quoting project.

Syntitan addresses coverage gaps with DTS synthetic reconstruction and handles sensitive references with LLM Capsule's context-preserving substitution, with the original values restored after the AI run. Syntitan prepares enterprise data for AI, checks whether it actually helps the task, and keeps that preparation reusable for the next one.

• Learn more about Syntitan: https://cubig.ai/syntitan/?utm_source=youtube&utm_medium=social&utm_campaign=george-show-syntitan&utm_content=episode_description_syntitan
• Get in touch with CUBIG: https://41p5u7.share-na2.hsforms.com/2O-BUeHRuSEetyspUwvLT4A?utm_source=youtube&utm_medium=social&utm_campaign=george-show-syntitan&utm_content=episode_description_survey