Building AI-ready data pipelines with Snowflake and Fivetran

Healthcare teams are increasingly building AI workflows, but many find their existing data pipelines inadequate for AI demands, which require quick, reliable access to diverse data types. Murali Gandhirajan, Global Healthcare & Lifesciences CTO at Snowflake, emphasizes the importance of data accessibility and speed for business impact. Snowflake offers a comprehensive solution by supporting multimodal data and enabling AI application through built-in services like Snowflake Cortex. Fivetran complements this by facilitating seamless data movement from source systems to Snowflake with minimal maintenance. Together, these platforms streamline the infrastructure work, allowing teams to focus on AI development rather than pipeline maintenance. This approach enables rapid deployment of AI use cases, as demonstrated by Sharp HealthCare, which transformed its data operations using Fivetran and Snowflake, resulting in significant cost savings and enhanced clinical insights. By automating data ingestion and leveraging Snowflake's unified platform, organizations can efficiently iterate on AI projects, moving from proof of concept to measurable value with reduced operational overhead.