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In this compelling episode of TechKNOWlogy, Yvette Schmitter—CEO of Fusion Collective and former AWS transformation leader—offers a candid look at the real challenges behind AI adoption. Far from the hype, she explores how foundational gaps, biased data, and untrained teams are stalling meaningful innovation.

Yvette’s message is clear: AI isn’t a magic fix—it’s a mirror. Without ethical data practices, inclusive representation, and a trained workforce, organizations risk automating their blind spots instead of solving them.

What You'll Learn:

• Why defining business problems is the first step to successful AI deployment
• How biased datasets and outdated systems undermine ROI
• The role of workforce training in unlocking AI’s true potential
• Why small, intentional use cases outperform sweeping tech rollouts
• How forward-thinking companies are using AI to promote equity and accessibility

Yvette calls herself an “impatient optimist”—driven by progress, but unwilling to compromise on integrity. Her insights are a must-listen for leaders navigating the intersection of technology, ethics, and transformation.

Listen now on

‍YouTube

Spotify‍

Apple Podcasts

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