Data leaders in the sector are taking a gradual approach to AI/ML innovation, starting with lower risk use cases while developing frameworks to address the unique requirements of healthcare. CDOs are exploring modalities to build internal automation models to enhance patient data analysis by incorporating behavioral data sets from multiple sources.

• Learn how exactly automating data processes can improve accuracy and drive better patient outcomes.
• Discuss ways to effectively balance your people and hardware budgets when building internal AI/ML models
• Share ideas about the potential value of an internal model for different enterprises
• Debate the cost effectiveness of building rather than buying