The Future of Security: Where Protection Meets Productivity


 
The security industry is undergoing a quiet but profound transformation, one that is reshaping not just how we protect physical spaces but how we manage businesses as a whole. No longer confined to surveillance cameras and access control, security technology is converging with enterprise software in ways that enhance both safety and operational efficiency. As cloud adoption continues to grow, businesses are recognizing that security systems should not exist in isolation but rather function as a seamless part of their broader IT infrastructure. This shift is creating new opportunities for companies to integrate physical security solutions with everything from HR management to supply chain logistics. The result is a smarter, more interconnected ecosystem where security data fuels better decision-making and enhances business performance. In 2025, we’ll see more companies like Brivo leading the charge, forging strategic partnerships with enterprise software providers to make security a key player in digital transformation.

Recent Episodes

AI infrastructure is evolving at breakneck speed, and the real challenge is no longer just designing next-generation data centers—it’s executing them at scale. As demand for AI-ready facilities grows, operators must adapt to immense increases in power density, new cooling technologies, and unconventional deployment locations. Power density requirements for AI workloads are pushing the…

As AI infrastructure spreads beyond tech hubs and into America’s heartland, companies face a new imperative: not just to build facilities—but to build trust, local partnerships, and long-term value for the communities that host them. In Ellendale, North Dakota, Applied Digital’s Polaris Forge 1 campus has become a case study in what rural revitalization…

As demand for artificial intelligence continues to soar, the AI infrastructure needed to power it is scaling just as rapidly. A 2024 report from the International Data Corporation (IDC) forecasts that global spending on AI infrastructure will exceed $200 billion by 2028, driven by an explosion in compute-heavy applications like large language models and…