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.