Webinar Insights: Interoperability, AI Innovation, and Data Governance in Healthcare
Explore how healthcare leaders are using interoperability, AI, and data governance to improve patient outcomes and build scalable healthcare ecosystems.
Resources
Explore forward-thinking perspectives from our industry experts.
The Caregiving Crisis is Coming into View: Health Systems Still Have Time to Change the Outcome
Discover how rising patient demand and fragmented systems are driving the healthcare workforce crisis—and why unifying data and embedding AI-driven coordination is key to scaling care without increasing headcount.
Do No Harm: Using AI to Navigate Risk, Build Trust, and Drive Healthcare Outcomes
Learn why “do no harm” remains critical in designing ethical, explainable, and scalable AI solutions in clinical and operational environments.
Snowflake and Hakkōda, an IBM Company, Release New Report on the Future of AI and Interoperability in Healthcare
A new report from Snowflake and Hakkoda explores the future of AI and interoperability in healthcare and public health.
Translating Legacy Logic: The Art and Discipline of Rewriting SAS for the Cloud
Rewriting SAS for the cloud is both an art and a discipline that requires translating legacy logic into scalable, AI-ready architecture.
Interoperability, AI, and the Future of Healthcare Delivery
Discover how data, interoperability, and AI are reshaping outcomes and operations across healthcare and the life sciences.
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State of Data Report 2026
The State of Data 2026 gives you a clear, data-backed view of how enterprises are scaling AI and where many are falling behind. Powered by IBM Institute for Business Value research, it helps you understand what’s working, what’s risky, and how to approach agentic AI, governance, and hybrid architecture with confidence this year.
