In a recent webinar hosted by Encord's ML Lead Frederik Hvilshøj and Neuron’s Head of AI, Doogesh, the focus was on integrating machine learning (ML), large language models (LLMs), and neuroscience to enhance business value and ROI. The discussion highlighted the importance of aligning model behavior with business goals, unifying models into vertically integrated vision-language systems (VLMs), and transitioning from recommendations to actionable insights. Neurons AI showcased its neuroscience-powered advertising solutions, emphasizing rapid ad pre-testing, visual attention prediction, and optimization of messaging. The webinar also presented the concept of CIS scores as a crucial metric for evaluating recommendation systems and stressed the need for industry and segment-specific benchmarking to improve model performance. A framework was proposed for creating autonomous recommendation engines that learn and adapt with minimal human intervention, aiming to transform ML into a strategic, value-generating tool for businesses.