Healthcare companies are faced with increased regulatory, financial, and competitive pressures to renew their focus on patient centricity, improving outcomes, and lowering the cost of care. To achieve these ends, they must turn to data for real-time and predictive insights. However, many healthcare companies are challenged with legacy data architectures, growing and siloed data volumes, and a lack of data science talent that are hindering their progress towards becoming data-driven. In this fireside chat, learn how healthcare companies are unifying disparate data volumes and accelerating their AI & ML projects to deliver better patient outcomes, lower the cost of care, and improve the patient experience.