Rebuilding the Digital Nervous System: How Deepak Kaul Approaches Enterprise Modernization at Global Scale

Enterprise modernization becomes significantly more complex when critical systems must remain available while decades of legacy technology are replaced behind the scenes. Deepak Kaul has spent more than 21 years designing and delivering mission-critical platforms across hospitality, banking, insurance, telecommunications, and government, with a focus on large-scale architecture, system integration, and operational resilience. His recent […]

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Brendan Rius on Scaling MEE6 to 300 Million Users and the Future of AI-Powered Online Communities

Managing an online community becomes a fundamentally different challenge when the platform is operating across hundreds of millions of users. At that scale, new forms of spam, scams, harassment, and coordinated abuse can emerge quickly, while every community still expects moderation tools that reflect its own culture, standards, and tolerance for risk. Brendan Rius has […]

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Data Architect Kiran Veernapu on What Enterprise AI Gets Wrong

Kiran Veernapu has spent 25 years building data and AI systems inside healthcare, aviation, and manufacturing organizations. He also reviews research for IEEE, Springer, and Elsevier journals, which gives him an unusual vantage point. He evaluates AI research as a reviewer, then builds the systems those papers describe. We asked him about the gap between […]

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The End of Bolt-On AI: Nirmal Ganesh on Why Enterprise Workflows Need a Complete Redesign

Enterprise AI is moving beyond isolated tools and one-off automation projects. Organizations are beginning to rethink entire workflows around intelligent systems that can interpret information, coordinate actions, and support decisions while preserving the governance and human oversight required in complex business environments. Nirmal Ganesh has spent more than 15 years working across enterprise software, from […]

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The Agentic AI Era Has a Foundation Problem

Enterprise AI has hit a wall in 2026, and it is not the wall most people predicted. Deloitte’s 2026 State of AI in the Enterprise report, based on a survey of 3,235 leaders across 24 countries, found that just 25% of organizations have moved 40% or more of their AI experiments into production. Another 54% […]

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https://rolandholman.blogspot.com/2026/07/the-agentic-ai-era-has-foundation.html

Why Kubernetes Broke Traditional Monitoring – and What Observability Looks Like in the AI-Infrastructure Era

Kubernetes has quietly become the operating system of enterprise infrastructure. According to the CNCF’s 2025 Annual Cloud Native Survey, 82% of organizations now run Kubernetes in production, up from 66% just two years earlier. That’s not a niche adoption curve anymore. It’s the default. But most monitoring stacks in use today were designed for a […]

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What Australia’s AI lead reveals about the rise of automation agencies

Something has shifted in the way ordinary businesses talk about artificial intelligence. Two years ago the conversation was about whether the technology was real. Now it is about who can help put it to work. Out of that shift a whole category has appeared almost overnight, the AI automation agency, and the number of them […]

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