In the past decade, multi-cloud adoption has moved from aspiration to reality for nearly every large enterprise. According to recent cloud industry research, roughly 83% of organizations now run workloads across more than one cloud provider, and many are actively operating across Amazon Web Services (AWS), Microsoft Azure, and Google Cloud simultaneously.
For decades, healthcare IT leaders have evaluated data infrastructure through an operational lens – cost, efficiency, and compliance. Healthcare data performance mattered, but largely as a backend concern. Latency was inconvenient. Downtime was disruptive. Storage limitations were frustrating.
Artificial intelligence isn’t just transforming how we build and operate—it’s also redefining how we store, manage, and move data.
Artificial Intelligence (AI) is revolutionizing industries, from healthcare to finance, but many organizations struggle with where to start. Simply investing in AI tools isn’t enough—companies must ensure they have the right strategy, infrastructure, and data practices in place. This AI Readiness Checklist outlines ten critical steps to prepare your organization for successful AI adoption, with a special focus on software-defined cloud storage and scalable infrastructure.
The ViVE 2025 Healthcare Conference, held in Nashville from February 16-19, brought together the brightest minds in healthcare to explore transformative technologies that redefine healthcare delivery. Silk proudly showcased our cutting-edge solutions at our booth standing alongside one of our premier customers, Sentara Health, and one of our top partners, OptaFi. Being there, I had the unique opportunity to experience and reflect on the transformations in progress.