An warm welcome to the summit from Tiarne Hawkins, Summit chairperson, as we look ahead to the day's learnings and focuses.

As organizations race to move beyond proof-of-concept (POC) in AI, the challenge of scaling to production models is increasingly critical. With over 70% of companies stalled in pilot mode, it's clear that transitioning to full-scale deployment is not just about bigger models or more data—it's about precision and strategy. This session will delve into how to break through these barriers by focusing on two key areas: precision data training and robust model evaluations. By defining clear success criteria for use cases, selecting the right models, and employing targeted data strategies, companies can unlock the true potential of their AI investments. We'll explore practical approaches to overcoming the common obstacles in AI adoption, including how to maximize performance with fewer resources and avoid the pitfalls of over-reliance on volume. The discussion will highlight real-world examples where careful evaluation and precision data transformed AI initiatives, leading to significant ROI. Join Invisible to learn how to navigate the journey from POC to production, ensuring your AI deployments are not only scalable but also highly effective and cost-efficient. Whether you’re fine-tuning existing models or embarking on new AI initiatives, this session will equip you with the insights and strategies needed to make the leap from experimentation to real-world impact.