Enterprise AI inference depends on the connections between users, data, tools, and compute. Where those resources reside—and the performance, resilience, and cost of the paths connecting them—helps determine how quickly AI responds and whether it delivers an economically viable business outcome. Making those decisions actionable requires coordination across architecture, network engineering, security, procurement, operations, and finance.
Ben Edmond introduces Programmable Proximity: the ability to select and adapt where workloads run and how they connect, based on measured performance, cost, resilience, and policy. The session explores how connectivity influences time to first token, alongside compute capacity, queuing, and prompt processing. It connects initial responsiveness, completion time, and output quality to a practical economic objective: cost per request meeting the workload’s acceptance criteria.
Through an illustrative enterprise deployment, attendees will follow a workload requirement from discovery through quoting, ordering, inventory, and spend. The session shows how Ecosystem Connected Commerce preserves performance requirements, governance constraints, and supplier commitments across that journey—and connects production evidence and financial accountability to the next infrastructure decision.
Audience takeaways
Ben Edmond is the CEO and Founder of Connectbase, where he is responsible for
leading the company’s strategy, culture and operations. Prior to founding Connectbase,
Ben served as the chief revenue officer at Global Capacity, where he was responsible
for all aspects of the company’s customer go-to-market strategy and execution. Ben has
25 years of experience in the fiber, telecom and networking industries, encompassing
broad expertise in the areas of executive leadership, strategy, product, customer
experience, sales, marketing and operations.
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