Large-scale multimodal data has become a driving force in life sciences research, and your organization can’t afford to miss this opportunity. How is large-scale multimodal data fitting into your plan and budget for 2025? Do you have the right technology to advance this work effectively and efficiently across researchers, informatics and ML teams? How will you prioritize a FAIR multi-omics platform to best leverage AI and machine learning? If you’re looking for  answers to these questions, you’re not alone. In this webinar, we will explore the complex infrastructure map for -omics data and learn key evaluation criteria to inform durable decisions for your data platform that will drive drug discovery and development.