Build Smarter AI, Stay Ahead

Q1. Could you start by giving us a brief overview of your professional background, with a particular focus on your industry expertise?

I've spent over 20 years working with large-scale distributed systems and currently lead teams as an AI systems architect, focusing on building and managing enterprise technology platforms.

While serving as IBM’s Vice President for AI Engineering, I worked on designing and rolling out AI platforms for industries that face strict regulations. My main interests were making sure these systems could scale, training models across different servers, handling cloud integration, and always keeping governance in mind.

Along the way, I've worked on everything from integrating large AI models, optimizing how GPU clusters run, tracking where data comes from, and making AI decisions easier to explain—especially in industries that need to follow strict rules. I try to connect the latest AI research with practical solutions that businesses can actually use.

Q2. How is the global energy shortage impacting the roadmap for regional AI data centers in emerging markets like Nigeria?

Unstable energy supplies have a big impact on how we build AI systems. In countries like Nigeria, designing AI infrastructure means thinking about things like:

• Intermittent power availability
• High PUE…