AI is changing how healthcare organizations deliver on the use cases that matter most, and it is raising a set of questions that did not have clean answers a year ago.
When does it make sense to build a solution in house, and when should you buy one? What role should third-party AI products, apps, and data sources play in getting a use case live faster? And how do any of those pieces connect to the data architecture you already run?
This session works through all three. You will hear from the teams building on Snowflake’s AI Data Cloud for Healthcare & Life Sciences, including the partners whose products plug directly into it, on how to drive operational efficiency, improve patient outcomes, and accelerate research.
On the agenda
• Key considerations for a hybrid “build and buy” strategy for healthcare use case acceleration, with insights from Slalom
• How to use Snowflake CoCo, Snowflake Collaboration, and Snowflake Marketplace to get streamlined access to healthcare solutions directly from your Snowflake account
• A live demo showcase from select Snowflake Marketplace healthcare partners
