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From AI Experimentation to Deployment

From AI Experimentation to Deployment

Enterprise AI is shifting from experimentation to scaled deployment, with governance, security and integration becoming critical. AI orchestration and agentic systems could increasingly shape competitive advantage and market growth.

September 7, 2026 9 min read IT
#Enterprise AI, AI Solutions, AI Deployment
From AI Experimentation to Deployment

Q1. Could you start by giving us a brief overview of your professional background, particularly focusing on your expertise in the industry?

For the past twenty years, I’ve had the privilege of witnessing the evolution of enterprise technology up close—watching as we moved from simply gathering data, to generating insights, and now to taking meaningful action. I’ve seen analytics mature from basic dashboards to advanced machine learning models, and now to the cutting edge of AI powered by transformer architectures. Every stage has held the promise of change, but for the first time, we’re truly seeing that transformation come to life.

Throughout my career, I’ve always believed that the real value for enterprises lies where data, technology, and AI intersect. I’ve had the chance to put that belief to the test in fields like aviation, automotive, consumer products, and healthcare—whether that meant building pricing platforms for a major jet engine maker or reimagining aftermarket services for a leading healthcare company. No matter the industry, I’ve seen that real transformation is less about the technology itself and more about the value it helps unlock.

Now, as Global Delivery Head at Newpage Solutions, I work with teams around the world to develop …

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