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How Public Sector & Healthcare Leaders Use Data and AI

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Accelerate Healthcare & Life Sciences takes place on Wednesday, April 30. This virtual event will showcase how leading organizations in the industry are transforming their organizations and ecosystems using data and AI to collaborate, innovate and democratize data insights. 

With the appropriate data, technology and ecosystem access, healthcare and life sciences organizations can accelerate crucial workflows while upholding necessary security and governance for this highly regulated sector. Snowflake’s Accelerate event for the industry showcases how industry leaders are leveraging Snowflake’s AI Data Cloud for Healthcare & Life Sciences to achieve their mission. 

Attendees will discover enterprise data architecture blueprints prioritizing secure, self-service data consumption and learn about cutting-edge AI/ML applications in the industry that enhance operational efficiency and patient/member experiences. 

Agenda highlights include opportunities to:

  • Hear Snowflake experts and leaders from AWS and Accenture discuss the most pressing new changes and challenges in the industry, from ongoing cost pressures and concerns about supply chain resiliency to managing care team burnout. Learn what executives should consider as they build their enterprise data and AI strategy for optimal, long-term business and patient outcomes.

  • Learn how to accelerate data access with interoperability. As the volume and complexity of data continues to grow, many healthcare and life sciences companies are now prioritizing enterprise strategies where data is findable, accessible, interoperable and reusable (FAIR). To meet these data principles, a company’s architecture matters. Hear from organizations that are partnering with Snowflake to build strong data foundations underpinned by open standards, secure data sharing, and security and governance controls.

  • Hear how Snowflake customers such as Odaia are democratizing and collaborating on data. New technologies such as generative AI require the ability to ingest, transform and apply both structured and unstructured data. Leading organizations are architecting data pipelines so they’re more open, resilient and cost efficient. Learn best practices for data ingestion and what that means for creating a holistic patient view.

  • Watch a demo on how to build an AI agent for a healthcare payers contact center using Snowflake’s AI Data Cloud for Healthcare & Life Sciences.

Register now to reserve your spot at Accelerate Healthcare & Life Sciences on April 30.


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