#156: AI Answers - Data Privacy, AI Roadmaps, Regulated Industries, Selling AI to the C-Suite & Change Management

Data integrity, executive skepticism, and turning AI-driven time
savings into real gains—Paul Roetzer and Cathy McPhillips answer
your questions from our latest Scaling AI class and offer
informative, candid answers. Show Notes: Access the show notes and
show links here Timestamps: 00:00:00 — Intro 00:04:51 — Question
#1: How do we ensure data integrity, security, and privacy when we
scale AI? 00:07:24 — Question #2: What exactly is an AI roadmap?
00:12:30 — Question #3: How can we maintain meaningful human
oversight when AI systems operate at a speed that exceeds human
comprehension?00:14:47 —  Question #4: How do you feel about
the impact of AI on highly regulated industries where adoption has
been slower? 00:16:50 — Question #5: How does change management
need to evolve in response to the rapid development of AI tools?
00:18:54 — Question #6: Changes are happening so quickly. How can
professionals keep up? Are there trusted resources that stay
current with innovations? 00:23:11 — Question #7: Do you have any
tips for creating a tailored AI learning curriculum versus a
“one-size-fits-all” approach? 00:24:51 —  Question #8: For
someone passionate about AI but not in a leadership position, how
can i initiate change at an individual level? 00:28:42 — Question
#9: How can you address resistance to change and skepticism toward
AI, especially when the tools are available, but usage lags?
00:30:47 —  Question #10: What’s your advice for someone
leading a lean team who needs to pitch AI to executives with no
time or interest in experimentation? 00:31:41 — Question #11: If a
large organization has rolled out something like Copilot but no one
is talking about AI or expanding beyond it, what are some tactical
next steps to drive broader AI engagement? 00:34:21 — Question #12:
As a director in higher ed, how can I motivate leadership to pursue
something like Ohio State’s “AI Fluency” initiative? 00:38:00 —
Question #13: Which AI tools do you like the best, and do certain
ones work better for specific industries? How do you personally
evaluate and select them? 00:40:49 — Question #14: How can startups
or innovators best use Problems GPT, especially for category
creation? Could you walk through an example?  00:45:54 —
Question #15: What excites you most about AI’s potential for
startups right now? 00:49:29 — Question #16: Have you seen
companies using AI-generated efficiency gains to reinvest in
people, like offering shorter workweeks or well-being benefits?
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