How data and AI can advance health equity

Editor's note: Michael Sanky is global industry lead of healthcare and life sciences at Databricks, an enterprise software company. As pervasive health disparities in the U.S. continue to widen, data and artificial intelligence offer the potential to help close that gap. New technologies can analyze large, diverse data sets, informing the work of researchers, decision makers and policymakers across healthcare. If done correctly, AI can ultimately improve care delivery, advance proactive healthcare planning and predictive treatments, reduce clinician burnout and drive better patient outcomes. To this end, we've already seen groundbreaking advancements that move the needle in healthcare.