From genomics to electronic health records, massive datasets are enabling data-driven insights and ushering in a new era of precision medicine. Yet, healthcare organizations looking to unleash the power of big data and AI face many challenges, including how to:

• Securely manage and merge rapidly growing sets of siloed healthcare data,
  
• Scale infrastructure to meet the increasing demands of large-scale analytics,
  
• Take advantage of the complex set of tools used for advanced analytics and AI.
  

Data scientists, engineers and business analysts across the healthcare ecosystem need a secure, scalable and collaborative platform to explore data and build powerful predictive models. Register for this webinar to learn how Azure Databricks provides a Unified Analytics Platform that enables teams to accelerate insights and drive innovation in care with data science at scale.

This webinar will cover:

• Trends and challenges healthcare organizations face adopting big data and AI technologies
  
• How a unified approach to analytics powered by Apache SparkTM enables cross- functional teams to scale insights and build powerful predictive models 
  
• How healthcare teams use Azure Databricks to improve care with machine learning use cases including genomics, medical image analysis, and more
  
• Demo of a disease prediction engine using large-scale genomic and EHR data