Abstract
In large, highly regulated enterprises like ING, adopting AI in engineering isn’t as simple as enabling a new tool — it’s a fundamental shift in how thousands of engineers design, build, and deliver software. This talk shares how ING introduced GitHub Copilot to more than 5,000 engineers, and what it truly takes to measure, scale, and sustain AI‑driven productivity across a complex, global organization.
We will walk through ING’s journey from early pilots to full‑scale rollout, highlighting measurable productivity outcomes as well as the cultural, operational, and engineering transformations required to make AI adoption stick. Moreover, we will share practical lessons learned and insights, which can be relevant to any organization navigating AI adoption at enterprise scale.
Speaker
Yaping (Luna) Luo
Global Head of Developer Experience (DevEx) & System Engineering @ING
Dr. Yaping (Luna) Luo is the Global Head of Developer Experience (DevEx) & System Engineering at ING, where she leads the platform engineering teams that focusses on developer experience, continuous integration, and system engineering as part of ING’s One Engineering System (1ES) — the engineering backbone that enables more than 15,000 engineers to design, build, test, and operate software with consistency, reliability, and operational excellence.
Dr. Luo also leads ING’s global AI in Engineering transformation, driving the adoption of AI‑assisted development, intelligent engineering workflows, and emerging agentic capabilities to elevate software delivery at scale. She is passionate about creating environments where engineers thrive, teams own their outcomes, and technology becomes a force multiplier for business impact.
Session Sponsored By
ING is a leading European bank. Our more than 60,000 employees serve nearly 40 million customers in over 100 countries. Our purpose is to make the difference in people’s lives, with tech that matters.