AI Proving Ground Podcast: Exploring Artificial Intelligence & Enterprise AI with World Wide Technology

Building Sovereign, National-Scale AI with Core42’s Edmondo Orlotti

Nov 26, 2025

Join Edmondo Orlotti, Chief Growth Officer at Core42, and Mike Trejecki, Senior Director of AI at World Wide Technology, as they explore the future of national-scale AI. They argue that AI is a genuine industrial revolution, not a bubble, and discuss how fragmented data poses a significant barrier for enterprises. The conversation delves into the concept of AI-native nations, the role of agentic platforms in democratizing AI tools, and the importance of data sovereignty to protect intellectual property and ensure compliance. Don't miss their insights on the balance of speed and safety in AI adoption!

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INSIGHT

AI Is Real And Transformational

AI is a real, pervasive transformation happening faster in consumer experiences than enterprises expect.
Enterprises will be transformed gradually and must treat AI as an industrial revolution, not a hype bubble.

ADVICE

Prioritize A Data Strategy First

Start with a clear data strategy because AI depends on accessible, governed data to work.
Fix fragmented data lakes and governance before expecting enterprise-wide AI results.

INSIGHT

Don't Wait For A Perfect Data Lake

You don't need one perfect monolithic data lake to start using AI effectively.
Begin with the data you have and iterate; don't let perfection block progress.

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Core42 Chief Growth Officer Edmondo Orlotti dives into how Core42 and G42 are building sovereign, national-scale AI infrastructure and what enterprises can learn as they face their own challenges with data governance, GPU scarcity, fragmented environments and global regulatory pressure.

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 driving.

Edmondo's top pick: A Guide for CEOs to Accelerate AI Excitement and Adoption

The AI Proving Ground Podcast leverages the deep AI technical and business expertise from within World Wide Technology's one-of-a-kind AI Proving Ground, which provides unrivaled access to the world's leading AI technologies. This unique lab environment accelerates your ability to learn about, test, train and implement AI solutions.

Learn more about WWT's AI Proving Ground.

The AI Proving Ground is a composable lab environment that features the latest high-performance infrastructure and reference architectures from the world's leading AI companies, such as NVIDIA, Cisco, Dell, F5, AMD, Intel and others.

Developed within our Advanced Technology Center (ATC), this one-of-a-kind lab environment empowers IT teams to evaluate and test AI infrastructure, software and solutions for efficacy, scalability and flexibility — all under one roof. The AI Proving Ground provides visibility into data flows across the entire development pipeline, enabling more informed decision-making while safeguarding production environments.