AI Today Podcast

Kathleen Walch welcomes Mouhsine Kabbaj, a seasoned Senior Program Manager with 25+ years in transformation, business process engineering, and AI integration. With PMP, PGMP, PFMP, and PMI-CPMAI certifications, Mouhsine passionately shares how CPMAI reshaped his approach to AI projects, moving beyond traditional software methods to a methodology built on business understanding, data quality, and iterative experimentation that unlock real business value.
He explains why AI projects require fresh mindsets: embracing uncertainty, fostering cross-functional collaboration, and shifting activity metrics to measurable outcomes. A vivid case study illustrates how an AI assistant reduced call center times by 40%, boosted advisor efficiency, and advanced organizational readiness for AI adoption.
You will gain insights on:
Why CPMAI matters — structuring AI initiatives to avoid costly failures
How to set expectations — starting with business problems, not technology hype
Shifting mindsets in the AI era — collaboration across disciplines, comfort with uncertainty, focus on value
Where AI is heading — seamless integration into daily work, with project managers at the center of transformation
Mouhsine also reflects on why many AI projects fail, how the CPMAI methodology helps organizations reset instead of waste resources, and why project managers must bridge business, data, and technology. Practical and inspiring, this episode is essential for project managers, AI practitioners, and leaders ready to turn AI hype into measurable value.

As AI Today enters its 10th season, host Kathleen Walch takes a step back to reflect on nearly a decade of conversations about artificial intelligence and the lessons that remain just as relevant today as they were when the podcast launched in 2017. 
In this special anniversary episode, Kathleen explores how AI has evolved from predictive analytics and machine learning initiatives led by specialized teams to today's era of generative AI and agentic AI, where powerful tools are available to virtually everyone. She examines what changed, what didn't, and why many of the biggest challenges organizations face with AI are still rooted in data, governance, expectations, and business alignment.  
You'll hear reflections on: 
The AI fundamentals that have stood the test of time, including the 7 patterns of AI and 6 phases of CPMAI 
Why use cases and business value matter more than the underlying technology 
How large language models (LLMs) transformed AI accessibility and adoption 
The continuing importance of data quality, governance, and responsible AI 
Why AI works best as a human-machine partnership (augmented intelligence) 
How project professionals are becoming critical to successful AI initiatives 
What organizations need to do to move from AI experimentation to sustainable, scalable value 
Drawing on insights from more than 540 episodes and hundreds of conversations with practitioners across industries, Kathleen revisits some of AI Today's earliest questions: Why does AI matter? Should we be afraid of AI? And what does the future of AI mean for organizations and the people who lead change within them?  
Whether you've been listening since Season 1 or are discovering AI Today for the first time, this episode offers a thoughtful look at how far AI has come and what will continue to matter as we enter the next decade of AI adoption.

In this episode of AI Today, host Kathleen Walch speaks with Dave Prior, project management consultant, longtime PMI volunteer, host of DrunkenPM Radio, and PMI-CPMAI certified practitioner. 

Dave shares his journey from resisting Agile to embracing it and now confronting AI with similar skepticism before finding clarity through the PMI-CPMAI certification. He explains how the methodology helps overcome fear by grounding AI projects in business value, data discipline, and iterative reassessment. 

Listeners will hear how the PMI-CPMAI certification helps align stakeholders, why retraining prevents model drift, and how augmented intelligence enables storytelling, creativity, and stakeholder trust. 

You’ll gain insights on:  
How continuous reassessment manages drift and fast changing conditions 
What mindset shifts help project managers see AI as a partner 
How Agile + CPMAI blend iteration with structure for success 
Practical, honest, and rich with real-world lessons, this episode is valuable for project managers, AI practitioners, and leaders navigating the ambiguity of AI transformation while striving to create humane, creative workplaces.

Kathleen Walch speaks with Jürgen Eckhart, Engineering Program Manager at Google in Munich, lecturer in project management, and PMI-CPMAI certified practitioner. Jürgen shares how CPMAI expanded his “toolbox” for managing AI projects, grounding them in business value, quality data, and realistic stakeholder expectations.
He explains why AI must be treated as iterative and probabilistic, not deterministic “magic,” and how project managers can shift from delivery to discovery—offloading routine tasks to AI while focusing on orchestration, collaboration, and trust. Jürgen likens today’s AI era to the “fax machine state,” a transitional phase in which AI is already relieving administrative burdens, yet its ultimate potential is still unfolding.
You’ll gain insights on: 
Why project management foundations matter for AI success
How CPMAI enables continuous reassessment in fast-changing environments
What practical methods integrate AI into daily workflows, from meeting notes to coding support
How to balance automation and creativity in stakeholder management
How ethical standards and frameworks build trust in AI adoption
Jürgen also reflects on misconceptions fueled by hype, shares real-world use cases like AI-assisted SQL scripting and portfolio reporting, and emphasizes the importance of ethics as AI accelerates global problem-solving. Practical and inspiring, this episode is a must-listen for project managers, AI practitioners, and leaders ready to strengthen their foundations and harness AI responsibly.

Kathleen Walch speaks with Vinay Babu Tarala, Agile and AI Transformation Leader at AT&T, PMI Pearl City Hyderabad Chapter General Secretary, and author of AI Meets Agile. With passion and candor, Vinay shares how early AI project failures led him to PMI-CPMAI certification, transforming his approach to managing AI initiatives.
He illustrates how CPMAI’s structured framework reduced software development cycle times from 2.5 months to 1.5 months by embedding AI across the SDLC—from user story creation to coding and testing. Vinay emphasizes that success comes not from chasing tools, but from solving real business problems with quality data and strong governance.
You’ll gain insights on: 
Why AI projects fail without a structured methodology 
How CPMAI enables measurable outcomes and cycle-time reduction 
Why AI is probabilistic, iterative, and experimental—not deterministic “magic”
How project managers must shift from delivery to discovery, fostering cross-functional collaboration, and a common language 
Practical steps for project managers to start using AI in daily workflows
Vinay also tackles misconceptions about AI, the rise of agentic workflows, and why human creativity and critical thinking remain irreplaceable. Practical and inspiring, this episode is a must-listen for project managers, AI practitioners, and leaders ready to move beyond hype and harness AI as a transformative force in project management.