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Leaders on AI Adoption

Last month I was at the Leaders in AI Executive Summit event for roundtable discussions...

Last month I was at the Leaders in AI Executive Summit event for roundtable discussions with industry leaders in Toronto hosted by the Institute for AI Transformation.

It brought together some of the sharpest minds to debate the real-world realities of enterprise AI adoption.

Moving to scalable enterprise impact is no longer just a technical challenge—it’s an infrastructure, governance, and organizational design imperative.

Here are 4 key takeaways from our executive roundtables:

  1. Agentic AI at Scale - requires solving for reliability and trust. The real value comes when agents seamlessly integrate into core business processes.
  1. Strategic Hybrid AI Infrastructure - Leaders are weighing cost efficiency, speed, latency, and data sovereignty.
  1. AI Governance, Risk & Compliance - As systems gain more autonomy, defining clear accountability models and adaptable risk frameworks.
  1. The Human Layer of AI - AI adoption hinges on trust and organizational change. It’s about evolving workflows, redefining roles, and empowering teams to confidently work alongside AI.

A big thank you to the organizers and fellow leaders for the rich insights and engaging conversations!

Bruce Monaco, Urkhan Alakbarov, Qahir Rajwani, Ramila Peiris, P.Eng., Asma Aziz, Jessica Zou, Shivam Tyagi, Dan Schneider, Avalon D'Souza, Erica Meagher, Dimitry Shlyonsky, Pradeep Kannadiga, Robert Jaggers III, Tanweer Surve, Suri Tao, CPA, Ahmed Memon

#LeadersInAI #ExecutiveLeadership

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