AI Meets Energy in Tomorrow’s Enterprise

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

I’ve spent over 26 years in software engineering, and over the last decade, my focus has been on leading large, globally distributed delivery programs. My experience sits at the intersection of engineering execution and business outcomes, particularly in customer operations and enterprise platforms.
I’ve led multi-location teams across regions, managing end-to-end delivery, vendor ecosystems, and senior stakeholder engagement. Over time, my role has evolved beyond just delivery into ensuring adoption, stability, and measurable business value.

More recently, I’ve been working extensively in the applied AI space, leading early implementations of agent-based systems and multiple proofs of concept across emerging platforms. The focus has been on taking AI from experimentation into real, production-ready solutions that can scale.

Q2. With data center energy demand hitting record highs in 2026, how much of the technical roadmap is currently gated by 'grid access'? Specifically, what is the financial risk to the margins if we see a significant spike in electricity costs?

Grid access is no longer just a background dependency; it’s becoming a key factor in shaping technical roadmaps, especially with the…