Episode notes
What does it mean to keep human judgment at the center when AI can handle more of the work?
For Kris Braun, co-founder and CTO of RunQL, the answer lies in augmentation rather than abdication. With experience launching serverless products at Google and founding multiple ventures, Kris has seen how tools can help or hinder depending on how they’re used.
At RunQL, his team is building AI-powered workflows that support data professionals while keeping their expertise in the loop.
In this episode, Daniel and Kris explore why access to data alone isn’t enough, how business intelligence failed to eliminate the need for interpretation, and why leaders who hand off decision-making risk losing the ability to make good judgments.
They talk about the three levels of AI adoption: augmentation, automation, and abdication, and why the ...
Keywords
AI in data workflowsbusiness intelligence and AIhuman judgment in AIRunQLKris BraunGoogle Startups Accelerator Canadadata team AI toolsAI in software development