Scale AI and Apps Without Friction
Agentic AI
,
Application Security
,
Next-Generation Technologies & Secure Development
Eliminate Silos, Tech Debt With Unified Cloud and Automation
Gordon Barr, field CTO, VMware by Broadcom
Artificial intelligence modernization efforts stall as siloed tools and tech debt slow enterprise speed, said Gordon Barr, field CTO at VMware by Broadcom.
See Also: AI-Based Coding Redefines Software Development
Barr explained that organizations chasing AI and Kubernetes gains often create fragmented environments that increase operational friction. Each new technology introduces separate processes and teams. This fragmentation drives inefficiency, weakens security and limits agility. He said enterprises can avoid this trap by unifying legacy virtual machines and modern containers on a single platform such as VMware Cloud Foundation. This approach improves deployment speed, supports compliance and reduces costs while enabling scale.
“Customers try to move faster by adopting new technologies like AI or Kubernetes, but we end up deploying this as islands, and it could be on-premise or it could be in a public cloud. And every time we add this cool new technology, what we actually do is we create a silo, a silo of people with their own organizational processes and tools, and we end up just creating more tech debt as a result,” he said.
In this video interview with Information Security Media Group, Barr also discussed:
- How unified platforms reduce technical debt and improve deployment speed;
- Why continuous compliance replaces manual audit processes;
- How infrastructure consolidation cuts costs during hardware shortages.
Barr is currently a field CTO at VMware by Broadcom. He brings a wealth of experience from previous roles at Dell Technologies, solving business problems through the innovative use of technology, streamlining processes and enabling people. Barr’s customer-centric approach stems from more than 25 years of experience, beginning with his first job on an IT help desk.
