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Ep 32: The Boring AI That Makes Millions || Myles Harrison
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Myles Harrison, Principal at Praktikai and founder of Machine Learning Toronto (MLTO) joins the show to cut through the hype and share a pragmatic playbook for real-world AI. We unpack why the “boring” stuff (clean data, operational BI, and simple automation) often delivers far more value than flashy agent demos, how to manage change in large organizations, and when voice AI actually makes sense.
In this episode you'll hear:
• Why a consulting mindset makes for a different kind of founder.
• Concrete, high-impact AI use cases for mid-market businesses.
• Change management: it’s people, not tech.
• Practical voice AI: transcription, admin automation, and guardrails.
• What to stop chasing and what to build next.
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