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.

Links:

Myles: https://www.linkedin.com/in/mylesharrison/

On this episode of The Deep Dive Lab I talk with Andy Sitison, CTO at Share More Stories, about one core question: how do we turn human stories and emotions into useful, trustworthy data?

We cover:

• How to prompt people so they actually tell meaningful stories (the “story journey”)
• The logic of breaking a story into expressions and scoring emotions (joy, anxiety, belonging, and more)
• A real project with Virginia Tourism: hearing Black travelers’ stories changed messaging, visitor experiences, and earned recognition
• Practical risks: model accuracy, human-in-the-loop validation, cultural sensitivity, and detecting fake/generative submissions

Why listen: if you create products, run marketing, or lead research, this episode will change how you think about “voice of the customer”, from checkboxes to human truth.

Guest links:

• Andy Sitison: https://www.linkedin.com/in/andy-sitison/
• https://www.virginia.org/plan-your-trip/black-travel/
• https://sharemorestories.com/

What if the key to solving some of tech's biggest problems has been overlooked because of outdated hiring practices?

My guest is Tara May, CEO of Aspiritech, a multi-million dollar tech services company with one incredible stat: her entire team is made up of 100% autistic talent.

We explore how autistic talent is solving big tech problems for clients like Bose and the TSA:

• Building Smarter AI: How her team annotated 280,000 luggage images to train the AI that secures our airports.
• Perfecting Products: The unique QA testing process that ensures Bose speakers work flawlessly.
• Securing Financial Tech: Making JP Morgan's digital platforms accessible and compliant for every user.

This is more than a story about inclusion. It’s a playbook for building a smarter, more adaptable, and more human company.

Tara May: https://www.linkedin.com/in/taranmay/

Aspiritech: https://aspiritech.org/