From Hype to Reality: Lessons from Integrating Generative AI in the Modern Workforce

Generative AI has the potential to address productivity challenges in today’s workplaces, especially in the face of labor shortages and an aging workforce. In this session, we’ll take you behind the scenes of a GenAI-driven code conversion pipeline, exploring how it was designed to enhance efficiency and streamline workflows.

Our story centers on the real-world challenges we encountered in implementing this pipeline, from organizational resistance to skill gaps and limited stakeholder buy-in. Through this retrospective, we’ll share lessons learned about the complexities of AI adoption, highlighting that the technology alone isn’t enough—successful integration requires a reimagined workforce model. AI-augmented software engineers are essential to driving sustainable impact, but overcoming adoption barriers is crucial to unlocking the full benefits of AI.

Attendees will gain an inside look at the pipeline itself, along with actionable strategies for fostering organizational acceptance, bridging skill gaps, and building a resilient foundation for AI integration. Join us to discover how to empower your team to embrace AI, enhance productivity, and create a workplace where AI amplifies, rather than replaces, human expertise.

GenAI from the trenches: from legacy to a modern development stack

Transforming legacy code into a modern software stack has always been a complex challenge, but generative AI is redefining how we approach this work. In this talk, we share how we built an AI-powered conversion pipeline to transform a legacy low-code solution into a modern Vue and TypeScript stack, achieving an 85 percent reduction in manual effort and greatly accelerating the modernization process.

Our story focuses on the specific challenges we encountered while building this conversion pipeline and the strategies we used to overcome them. From managing intricate legacy structures to ensuring the correctness of AI-generated code, we’ll walk you through the iterative steps we took to refine and validate our approach. You’ll see how we used GPT-4 to continuously improve prompt precision, and how we leveraged a Human-in-the-Loop framework to keep control over quality and reliability.

This session provides practical, actionable insights into prompt engineering, pipeline design, and effectively integrating generative AI as a development tool. You’ll learn how AI can streamline tedious tasks and tackle complex modernization challenges, yet remains a convenience rather than a replacement for specialized, developer-led work. Our main takeaway is clear: AI is a powerful collaborator that empowers developers to elevate their impact, keeping them firmly in command of the process.

The AI landscape in education: beyond ChatGPT

Artificial Intelligence (AI) is having an increasing impact on both society and individuals. With the arrival of ChatGPT in 2022, a magnifying glass was also shining on what the advent of AI would mean for education.

In this presentation, we explore the multifaceted impact of AI on education, focusing on three main axes: students, teachers and educational institutions. We provide insight into the various AI applications within education, with a special focus on applications that do not use ChatGPT-like techniques. We will also discuss the impact of these educational AI applications on the future of education and look at their socio-ethical aspects.

This session offers a unique opportunity to gain insight into the future of education and AI. Don't miss this opportunity to be at the forefront of educational transformation.