Keith Sullivan, Director of Strategic Innovation at AFL, explains what meshing means in the context of data centres and why it is particularly important when it comes to GPU-intensive, AI compute workloads. Keith also outlines the common strategies used to implement meshing in a data centre and shares his thoughts as to how meshing will evolve over the next few years, with silicon photonics and co-packaged optics on the horizon.
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Keith Sullivan, Director of Strategic Innovation at AFL, explains what meshing means in the context of data centres and why it is particularly important when it comes to GPU-intensive, AI compute workloads. Keith also outlines the common strategies used to implement meshing in a data centre and shares his thoughts as to how meshing will evolve over the next few years, with silicon photonics and co-packaged optics on the horizon.
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Matthew Irish, General Manager, Digital Services at Apogee Corporation, explains how and why many companies still find the idea of digital transformation overwhelming with multi-year projects that cost a fortune and never seem to end. Too often, businesses try to swallow the entire ‘elephant’ at once, leading to a massive, expensive, company-wide overhaul that creates more chaos than it solves. Matt outlines an alternative, smarter, less stomach-churning way to approach digital transformation. Instead of a huge, high-stakes project, he recommends a step-by-step approach that tackles one process at a time, making it easier to manage, less disruptive, and way more effective.
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David Hurtado, Managing Director of Quetta Data Centers, discusses the impact of AI on the data centre market, explaining that today’s focus on LLMs and training will soon be joined by AI inferencing, where low latency at the edge will be crucial in delivering an optimised application experience. David also discusses the need for liquid cooling in high density data centre environments and outlines how Quetta is developing an AI data centre portfolio for the Iberian peninsula.
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Noam Brousard, Vice President, Solutions Engineering, proteanTecs, explains how semiconductors are straining under GenAI workloads such as model training, inference, and high-performance AI applications, and are quietly bleeding energy across data centres. proteanTecs has invented ML-driven deep data health & performance monitoring, which enables AI chipmakers to reclaim 8 - 14% in power savings without sacrificing performance, by eliminating the energy waste baked into traditional design. This also decreases the amount of water needed to cool down servers. For a data centre like Meta’s Hyperion, that would mean savings of up to 700 megawatts or enough power for more than 200,000 homes.
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Maxime Vermeir, Senior Director of AI Strategy at ABBYY, discusses the results from ABBYY’s State of Intelligent Automation: GenAI Confessions 2025 survey, which reveals challenges in implementing Generative AI (GenAI) – prompting the use of other AI to improve outputs. He explains that businesses are spending money on GenAI tools that promise more than they can provide and advises that before moving forward with leveraging GenAI tools for agentic AI, companies need to first evaluate their current processes and create a visibility map of their workflow with data analytics tools such as process intelligence.
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