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In this episode of The Route to Networking, Jack Rafferty is joined by Bill Severn, President and CEO of 1623 Farnam. Bill shares how he went from commission-only door-to-door sales to leading one of the most strategically connected carrier-neutral interconnection hubs in the United States.

They discuss the evolution of telecom from the analog era to today’s AI-driven infrastructure landscape, the concept of data gravity, and why interconnection is becoming one of the most important layers of the digital infrastructure stack. Bill also explains why networks may be at risk of being underbuilt as demand accelerates and how facilities like 1623 Farnam are positioning for the next phase of AI and edge connectivity.

Along the way, Bill reflects on lessons from his career, including resilience, learning the full system from the ground up, and why playing the long game is still one of the most valuable strategies in networking.

🔗 Connect with Bill on LinkedIn here.

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This week on The Route to Networking podcast, Jamie Maher is joined by Tony Vrushaj, Data Centre Team Leader at IBM, to explore how data centres have shifted from background infrastructure to strategic assets powering AI, cloud, and national ambition.

Tony shares his non-linear journey into the industry, from fixing tractors as a child to building data centres in the UK during a period of rapid expansion. His path was shaped by curiosity, certifications such as CCNA and CompTIA, and a willingness to focus intensely on long-term goals rather than short-term comfort. As his career progressed, technical depth became only part of the equation. Mindset, communication, and leadership proved just as critical.

The conversation dives into how AI has transformed the data centre landscape. Higher-density racks, GPU-driven environments, and increased revenue per square metre have changed both the financial stakes and the operational risk. What was once a low-cost mistake can now carry seven-figure consequences. Teams are becoming smaller and more cross-functional, with greater emphasis on engineers who can move between hardware, customers, and executive conversations.

Energy emerges as the hidden constraint behind AI growth. Tony explains why power availability, cooling, and grid capacity are now strategic considerations, influencing where facilities are built and how governments think about AI sovereignty. This is no longer just a software race. It is an infrastructure and energy race.

Looking ahead, Tony offers a bold prediction for the future of data centres: space. With rising energy demands and cooling challenges on Earth, orbital infrastructure may move from theory to experimentation faster than many expect.

The episode closes with a quick-fire round covering underrated skills, the difference between certifications and degrees, and the trait that defines great engineers - comfort with uncertainty.

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This week on The Route to Networking podcast, our CEO George is joined by Joe Limardo, an AI and Cloud Architect Evangelist whose career has evolved from enterprise contact centre technology into hands-on AI implementation across OpenAI, AWS and Google.

As AI dominates headlines, this episode cuts through the noise. Joe shares what the shift actually means for engineers, reflecting on how quickly once “hot” skills can become legacy and why continuous learning is no longer optional.

The conversation explores the real breakthrough behind modern AI - access to reasoning, not just information. Large Language Models are changing how engineers build, solve problems, and accelerate their own learning, while businesses use AI to remove repetitive work and unlock higher-value thinking.

They also discuss the growing infrastructure demands behind AI, the move from pure coding to architecture, and the three skills Joe believes future-proof careers: APIs, Python, and storytelling.

The episode closes with a quick-fire round covering model preferences, common misconceptions, and the one advantage AI still cannot replace - human judgement under uncertainty.

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This week on The Route to Networking podcast, Antonio is joined by Paul Chu, an AI software engineer and Master’s student at ENS Paris-Saclay, whose journey has taken him from France’s competitive engineering system to research labs at Stanford and the heart of the Bay Area tech ecosystem.

At a time when AI is moving faster than ever, it’s refreshing to hear from someone breaking into the industry right now. Paul offers a real-time perspective on what it actually takes to get started, stand out, and build momentum in such a competitive space.

From securing a $15,000 research grant to auditing lectures from Andrew Ng, Paul shares how he positioned himself without a traditional research background and why curiosity and adaptability mattered more than credentials.

He reflects on winning his first major hackathon in San Francisco, joining robotics projects outside his comfort zone, and how high-pressure environments accelerated both his technical ability and confidence. The conversation also explores the differences between the Paris and San Francisco tech scenes, networking as an introvert, documenting his journey on YouTube, and why AI should be seen as an enabler rather than a shortcut.

The episode concludes with a quick-fire round covering large language models, career-defining moments, stepping into uncomfortable rooms, and the mindset required to grow in the AI frontier.

🔗 Connect with Paul on LinkedIn here.
🎥 Find Paul on YouTube here

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This week on The Route to Networking podcast, Tom Jones is joined by Chimezie Onwuka, an Uptime-certified data centre specialist with nearly a decade of experience across managed services, telecoms and fintech.

From studying physics to operating live facilities, Chimezie shares how he built his career inside mission-critical environments and why data centres underpin the digital economy.

He explains what resilience really means in practice, from Tier certifications and redundancy to the operational discipline required on the data centre floor. The conversation also explores accessibility into the industry, the value of hands-on learning, and why engineers must understand what sits on top of the facility, not just the physical layer.

The episode concludes with a quick-fire round covering AI-driven power demands, cooling challenges, sustainability, and the mindset needed to thrive as infrastructure scales.

🔗 Connect with Chimezie on LinkedIn here.

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This week on The Route to Networking podcast, Ben Davies is joined by Bradley Shadowens, a data centre infrastructure specialist working at the forefront of AI and high-performance computing. Bradley shares his journey from electrical and computer engineering through the US Navy to building AI-ready data centres from first principles.

He explains what it really takes to design, deploy and scale modern infrastructure, from power and cooling to networking and GPU deployments. Bradley emphasises the importance of discipline, responsibility, and systems thinking, and why self-directed learning and curiosity are essential in a fast-moving, high-stakes environment.

The conversation also explores how engineers can trace systems end-to-end, the value of hands-on experience, and how to stand out early in a career through portfolios and tangible projects. Bradley reflects on the young AI infrastructure industry, the culture needed to thrive, and the mindset that outlasts every technology cycle.

The episode concludes with a quick-fire round where Bradley shares his thoughts on the future of AI infrastructure, energy and cooling trends, high-performance computing, and the skill engineers consistently underestimate.

🔗 Connect with Bradley on LinkedIn here

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This week on The Route to Networking podcast, Ben Davies is joined by James Garcia, Director of Data Centre Management at RunPod. James shares his journey from growing up around networking equipment in his garage to helping build AI-ready infrastructure at scale.

He talks about scaling Speedtest’s global network from thousands to tens of thousands of servers, the shift to IPv6, and how that experience prepared him for the demands of modern AI workloads.

At RunPod, James is focused on building high-performance GPU clusters and serverless inference platforms that can spin up in minutes and scale to extreme demand. He explains why hardware, cloud and AI skills are now more connected than ever.

James finishes with practical advice for young engineers, why simplicity and trust shape his leadership style, and the episode wraps up with the quick-fire round.

🔗 Connect with James here

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In this APAC edition of Route to Networking, host Mitchell Cole sits down with Tulin Sevgin, a senior leader in cybersecurity risk and advisory. Tulin’s career spans hands-on technical roles, high-frequency trading, and building a cyber practice within a major law firm.

She shares how her early interest in IT and building PCs led her into cybersecurity before it was a defined career path, including intense social engineering projects that shaped her approach to risk and resilience. Her time in high-frequency trading taught her how to make decisions under pressure in environments where speed often outweighs security.

Tulin also speaks openly about being a woman in cyber and why listening, communication, and storytelling have been key to her leadership style. Now leading a growing cyber practice, she explains what it really means to build a business inside a business and support clients through high-stress incidents.

The episode wraps up with a quick-fire round covering career advice and common myths about cybersecurity. A practical and honest listen for anyone building a career in cyber.

Want to stay up to date with new episodes? Follow our LinkedIn page for all the latest podcast updates!

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