Ben Volkwyn, Senior Vice President of Data, Analytics & Research at Triumph, joins Mudassar Malik on Behind the Growth to discuss what it actually takes to turn data from a reporting function into a real driver of business decisions. Rather than focusing on dashboards or tooling, Ben explains why the real shift happens when organizations connect data directly to operational workflows and the decisions people make every day.

The conversation begins with an unexpected lens: endurance sports. Ben shares how principles like pacing, consistency, and long-term discipline shape how he approaches leadership and building data teams. Just as athletic performance comes from sustained effort rather than one intense session, he argues that building an effective data function is a long game driven by repeatable habits, clear priorities, and steady trust with stakeholders.

From there, Ben reflects on lessons learned working across industries and markets. Early in his career, he assumed that dashboards would naturally lead to better decisions. Over time, he discovered that what actually drives decisions is trust, speed, and whether insights are tied to someone’s real work. More data doesn’t automatically create clarity either; in many cases, fewer signals tied to a clear decision can be more valuable than large volumes of reporting.

Ben also explains how leaders can move their organizations beyond the “data equals reporting” mindset. Instead of building more dashboards, he recommends focusing on one critical operational decision and redesigning it around data. When data becomes part of the decision itself—not just a report about what already happened—it starts to compound value across the business.

Ben explores topics like:
- Consistency over intensity in leadership
- Why dashboards don’t drive decisions
- Data embedded in operational workflows
- When less data improves insight
- Turning reporting into decision engines

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Mike Bruno, AVP of Digital at Co-operators, joins Imran Mian on Behind the Growth to unpack what digital transformation really looks like inside a large, regulated financial services organization and why it’s far more than launching a new platform or redesigning a website. Mike explains how enterprise transformation is layered, closely governed at the executive level, and ultimately anchored to one outcome: improving the client experience through coordinated, enterprise-wide change.

Early in the conversation, Mike digs into one of the most persistent friction points in transformation efforts: change management. Drawing on experience across multiple organizations, he explains why resistance is often rooted not in unwillingness, but in uncertainty, loss of control, and unclear communication. He outlines practical approaches leaders can take, like repetition, tailored messaging, and direct one-on-one conversations, to help teams adapt without burning trust or momentum.

Mike then shares a concrete example from a CMS implementation that nearly stalled when legacy applications surfaced unexpected dependencies. Rather than forcing a one-size-fits-all solution, his team slowed down, brought stakeholders together, and made pragmatic trade-offs, sunsetting some applications, creating temporary fixes for others, and preserving trust across the enterprise while keeping the project on track.

Mike also shares his views on digital hygiene, prioritization, and leadership under uncertainty. He breaks down why clear communication, disciplined execution, and knowing how much effort is “enough” are foundational to staying aligned in complex environments. Throughout the discussion, Mike emphasizes practical decision-making over theory, offering grounded lessons for leaders navigating legacy platforms, constrained budgets, and constant change.

Mike dives into topics like:
- Enterprise change beyond platforms
- Change management as transformation friction
- Hidden legacy system dependencies
- Digital hygiene in execution
- Prioritization under constant change

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Saeed Shamsi, Director of Engineering and AI Factory Lead at TELUS, joins Mudassar Malik on Behind the Growth to break down what it takes to build enterprise AI infrastructure that can ship fast, compliant, and within Canada’s regulatory boundaries. He opens by grounding the conversation in TELUS’s evolution beyond telecom, and why its expansion into data-driven businesses made sovereign AI a practical necessity, not a future bet.

Saeed explains why TELUS refers to its infrastructure as an “AI factory,” describing it as a system that turns power, cooling, and compute into usable intelligence at scale. He walks through how TELUS retrofitted existing Canadian data centres with GPU clusters designed to support model training, fine-tuning, inferencing, and modern AI applications without forcing customers into a single model, stack, or hyperscaler dependency.

The discussion then shifts to the problem facing Canadian enterprises: the gap between Canada’s AI talent and its lack of domestic compute. Saeed outlines why data residency, jurisdictional control, and regulatory compliance are critical for sectors like healthcare and financial services. He also explains how TELUS is addressing these constraints while giving startups and enterprises room to move, iterate, and retain their IP.

To close, Saeed gets specific about architecture and execution, from adopting NVIDIA’s reference designs to validating performance through global benchmarks. He looks ahead to scaling sustainable, sovereign AI infrastructure so Canadian organizations can compete globally without exporting their data, decisions, or innovation.

Saeed unpacks topics including:
- Sovereign AI infrastructure in Canada
- AI factories and GPU compute
- Data residency and regulation
- Enterprise AI performance benchmarks
- Sustainable, renewable-powered data centres

Visit mobilelive.ca/podcast to learn more about each guest and read key insights for every episode.