As teams adopt multimodal AI to improve their customer experiences and internal efficiencies, many challenges present themselves. To understand how this affects data science and engineering teams in the context of the various industry verticals, we are assembling a panel of experienced data scientists and engineers to explain the challenges they have faced, how they overcame them, and provide attendees with guidelines for their future deployments. We will uncover the similarities and differences in their experiences through examples and understand how each of them has resolved challenges in their deployments.