Michael Meyer, VP of Product and Strategy at Summit, recently joined us on the Symplicity Conversations Podcast to discuss the evolving landscape of data centers, the importance of trust in technology partnerships, and the challenges organizations are facing today with modern IT infrastructure.
AI and automation are having an immense impact on business decisions today, and there is a need for operational excellence and data governance to keep businesses moving forward. Businesses like Summit and Symplicity Communications are working together to provide reliable IT infrastructure solutions and long-term relationships with clients based on trust and expertise.
Trust has become the cornerstone of modern data management and technology partnerships. As organizations rely more heavily on their data to drive decisions, innovation, and growth, they must be confident that their partners understand not only the technology, but also their long-term business goals. This trust goes beyond contracts and service-level agreements, it is built through transparency, consistency, and a shared commitment to doing what is right for the client over time.
At the same time, the data center landscape is evolving at an unprecedented pace. Market forces, cloud adoption, AI workloads, and increased demand for resiliency are driving rapid changes in how data centers are designed and operated. Organizations are being forced to adapt quickly, often while navigating uncertainty around data governance, management, and compliance. For many mid-market companies, security and compliance gaps remain a persistent challenge, made more complex by growing regulatory pressure and increasingly sophisticated threats.
AI and automation are further reshaping business operations and decision-making. These technologies offer powerful opportunities to increase efficiency, gain insights, and scale operations. But this only happens when they built on a solid data foundation. Operational excellence in data management is no longer optional; it is essential. Organizations that lack clear governance frameworks or reliable infrastructure risk falling behind as automation and AI become core components of competitive strategy.
Ultimately, successful data management requires long-term thinking. As demand for data centers continues to grow, organizations must look beyond immediate needs and consider how today’s decisions will impact tomorrow’s scalability, security, and innovation. Those that prioritize trust, adaptability, and strategic partnerships will be best positioned to thrive in an increasingly data-driven world.
To hear more, make sure to check out the full episode above!
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