How Core42 Enables Faster Adoption

AI is no longer a pilot. It’s a prerequisite for survival.

In this episode of the AI Proving Ground Podcast, Edmondo Orlotti, Chief Growth Officer at Core42 (part of G42), joins Mike Trojecki of World Wide Technology to break down how AI-native nations are being built—and what enterprises must learn before they fall behind.

The focus isn’t models or hype—it’s data, sovereignty, and scale. Edmondo explains how national-scale artificial intelligence platforms are designed to operate under regulatory pressure, GPU scarcity, and geopolitical risk, and why fragmented, poorly governed data remains the biggest barrier to enterprise AI success.

They explore the rise of agentic platforms, specialized language models, and AI-driven robotics—and why ubiquitous inference is forcing security, infrastructure, and governance to evolve fast, especially as post-quantum threats approach.

The takeaway is blunt: speed and safety must move together. If artificial intelligence isn’t embedded into your core operating model, catching up later won’t be an option.

Support for this episode provided by: Thales

More about this week's guests:

Mike Trojecki is a technology leader with 25+ years of experience spanning security, networking, cloud and AI. A former U.S. Air Force Tech Controller supporting White House and Air Force One missions, he brings a deep commitment to precision and reliability. He now leads WWT's AI Practice, helping organizations build high-performance architectures and data-driven solutions that unlock real business value.

Mike's top pick: AI Use Cases: Balancing Speed and Risk for Real-World Success

Edmondo Orlotti is Chief Strategy Officer at Core42, part of G42, an AI company headquartered in Abu Dhabi, UAE. His previous assignments were in AI & HPC at global level with Hewlett Packard Enterprise and with NVIDIA Professional Systems Group. He has been addressing advanced simulation and analytics needs of industrial and academic environments from the very beginning of the deep learning age, from data center to edge. With over 25 years of experience in the IT sector at global level and an interdisciplinary background, covering marketing and sales roles, he has always been focusing on IT innovation. In the automotive industry, working with Formula 1 teams up to large automotive OEMS, he's been addressing their HPC & AI challenges from the manufacturing floor up to autonomous dr

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