Using AI at Work: AI in the Workplace & Generative AI for Business Leaders
On "Using AI at Work", your host Chris Daigle and his expert guests help business leaders, executives, and teams who want to turn artificial intelligence into a real competitive advantage. Each episode shares real-world AI applications and AI transformation stories from companies successfully using AI in the workplace to improve productivity, decision-making, and operations.
You’ll hear from Chief AI Officers, innovators, and forward-thinking executives who are putting generative AI at work, from AI productivity tools and AI-powered workflows to non-technical AI training and workplace AI adoption strategies.
We cover:
- AI for business leaders – how executives use AI to lead change and drive ROI
- Generative AI tools – practical, easy-to-implement solutions for teams
- AI automation in business – streamline operations without massive tech budgets
- Executive AI education – upskilling leaders and managers for the AI era
- Real-world AI case studies – lessons learned from successful AI implementation
- AI in operations management – optimizing processes and reducing costs
- Ethical AI in business – navigating responsible and effective AI use
Whether you’re exploring AI adoption, leading AI-powered transformation, or looking for AI implementation guides, this podcast delivers a clear, non-technical roadmap to succeed in the AI-driven economy.
New episodes weekly.
Start learning how to put AI to work in your business today.
Using AI at Work: AI in the Workplace & Generative AI for Business Leaders
115: Rethinking AI Governance for Enterprise Adoption with Dr. Markus Schmidberger
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AI adoption can create value, but it can also create a new organizational bottleneck. In this episode Chris sits down with Dr. Markus Schmidberger, Founder and CTO of JuntoAI, to challenge the assumption that every company needs a Chief AI Officer. They explore the growing AI business gap, why adoption is fundamentally a cultural enablement issue, and how governance, HR, and distributed ownership should work together.
Markus shares an in-residence model for discovering use cases, moving the strongest ideas into production, and measuring ROI through agent outcomes rather than token consumption. He also explains why unrestricted experimentation can distract teams from core strategy and how JuntoAI is rethinking professional networking with digital twins and AI agents. Leaders should listen for a practical framework to scale AI without centralizing responsibility or losing strategic focus.
Chapters
(00:00) Introduction
(03:20) Defining the Chief AI Officer Debate
(06:37) The Emerging AI Business Gap
(09:35) AI Adoption as Cultural Enablement
(12:42) Governance and Open AI Access
(15:31) Distributing AI Ownership Across the Business
(18:20) The In-Residence AI Enablement Model
(21:01) Moving from Use Case Discovery to Production
(25:45) Measuring AI ROI Through Agent Outcomes
(31:38) When AI Adoption Becomes a Strategic Distraction
(39:11) JuntoAI and the Future of Business Networking
(46:21) A Final Lesson on AI as a Statistical Model
🔎 Find Out More About Dr. Markus Schmidberger
Dr. Markus Schmidberger on LinkedIn
https://www.linkedin.com/in/schmidberger/
JuntoAI on LinkedIn
https://www.linkedin.com/company/juntoa
JuntoAI
https://juntoai.org/
🛠 AI Tools and Resources Mentioned:
JuntoAI
https://juntoai.org/
ChatGPT
https://chatgpt.com/
Claude
https://claude.com/
Gemini
https://gemini.google.com/
Google AI Studio
https://aistudio.google.com/
Claude Code
https://claude.com/product/claude-code
OpenAI
https://openai.com/
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