In this special milestone episode, Mike Hrycyk sits down with Keith McIntosh (PLATO CEO and Co-Founder) and Denis Carignan (PLATO President and Co-Founder) to celebrate 10 years of Indigenous Software Tester Training. Together, they reflect on how the program began in Fredericton, New Brunswick, the vision behind its creation, and how it has grown into a national model for building Indigenous careers in technology. From early challenges and lessons learned to scaling workforce development across Canada, this conversation explores what it takes to create lasting impact in tech education.

The episode also features reflections from members of the very first cohort, Kevin Jerome, Keisha Nguyen, and Matt Amos, sharing how the training shaped their careers and perspectives over the past decade. As PLATO continues recruiting for a new cohort in 2026, this 10-year reflection, with real-world insight from the leaders and graduates who helped shape the journey, looks back at what’s been achieved and forward to the future of Indigenous talent in Canada’s technology sector.

Episode Transcript ⁠⁠⁠here⁠⁠⁠

Find us at: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://platotech.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/plato-testing/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Facebook: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.facebook.com/PLATOTechGroup/

Artificial Intelligence is everywhere — but how do organizations move beyond the hype and actually create value? This month, Mike Hrycyk is joined by Emma Heo (Lead for Public Service AI and Data at Accenture Canada) and Emily Cowperthwaite (COO at PLATO) for a practical, candid conversation about what AI really means for businesses today.

Drawing from real-world experience at both a global enterprise and a growing technology services company, Emma and Emily share practical insight on how AI is being used today to improve productivity, streamline processes, and support better decision-making — along with honest discussion about how organizations can start small, build AI literacy, and responsibly experiment without losing sight of governance, trust, and business value and why AI success isn’t measured by the number of models deployed.

Episode Transcript ⁠⁠here⁠⁠

Find us at: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://platotech.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/plato-testing/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Facebook: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.facebook.com/PLATOTechGroup/

Performance testing isn’t always required, but knowing when it is can make or break your product. In this episode, Mike Hrycyk and guests Ryan Hobbs (BC Pension Corp.) and Praneeth Eadara (PLATO) explore real criteria for deciding whether to invest in performance testing, what’s at risk if they decide to skip it, how to scope a first project, and what managers should consider before committing time and budget. Whether you’re a QA manager, developer, or business stakeholder, this panel will help you to understand the value (and limits) of performance testing – and how to plan for it long before peak load becomes a problem!

Episode Transcript ⁠⁠here⁠⁠

Find us at: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://platotech.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/plato-testing/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Facebook: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.facebook.com/PLATOTechGroup/