Day 3 Builders Playbook for the Future of Localization - full conference

The conference concludes with a celebration of innovation, practical experimentation and the future of AI-powered localization. This video from the GenAI in Localization conference was streamed on the @TheObiJanNetwork channel on Friday 26th of June. Massive thank you to @TheObiJanNetwork for moderating and facilitating the conference! Day 3 features: • Innovation Challenge — Part 2 5 technical presentations focused on: Next-Gen Language Teams Text Generation Specialized AI translation utilities. The Innovation Challenge is moderated by Dave Ruane and Jourik Ciesielski. The Innovation Challenge was made possible by the support of POEditor. • Final presentations Automated Context Enrichment: Building an LLM-Driven Intake Pipeline by Yana Kolesnikova & Ksenia Lykina from Yango. Redesigning TM Maintenance - by Maja Nebes from ServiceNow. MAD Hackathon Grand Finale & Results Discover how localization professionals are combining AI, automation and human expertise to create the next generation of multilingual workflows. The closing day focuses on real implementation, measurable results and the ideas likely to shape the future of the localization industry. 00:00 — Day 3 opening 12:21 — Live Audience Interview: Mark Jones on Building vs. Buying — Why Curiosity and Passion Matter More Than Technical Skills. Gary Heiss Shares His Progress — Building a Website Reviewer Tool in 48 Hours with Vibe Coding 33:58 — Innovation Challenge. Part 2: 5 More Pitches from Industry Builders — From Audiovisual Segmentation to TMS Orchestration and Terminology Extraction 1:42:10 — Yana Klesnikova & Ksenia Lukina (Yango): How We Cut Ticket Prep Time by 50% with AI — Automated Context Enrichment That Saved Coordinators Hours of Hunting 2:14:04 — Maja Nebes (ServiceNow): How We Cleaned 15+ TMs Across 5 Languages in 2 Hours Instead of 5 Days — AI-Powered TM Maintenance That Saved $50,000 2:39:38 — Hackathon Grand Finale. 9 Submissions presented — From Website Reviewers to Slack-Based Localization Bots and Model Evaluators