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AI Today

AI Today

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Cognilytica’s AI Today podcast cuts through the hype to focus on what’s really happening in AI adoption today. Hosts Kathleen Walch and Ron Schmelzer share current insights from the AI & Data industry, discuss use cases across government and enterprise, and interview guests ranging from Fortune 500 leaders to startups. With 300+ episodes, AI Today explores practical implementation challenges, trends like cognitive assistants or automation, and best practices for integrating AI – all in an easy-to-digest, short-format style that keeps listeners up-to-date on the state of AI.

Recent Posts

Why CPMAI Matters in AI Projects — with Mike Hyzy
Podcast•Feb 18, 2026•28 min

Why CPMAI Matters in AI Projects — with Mike Hyzy

In this episode, Kathleen Walch talks with Michael Hyzy, VP of AI Strategy at CGI, about why many AI initiatives falter when treated like traditional software projects. Hyzy explains that the CPMAI (Certified Professional in Machine Learning and AI) methodology provides a structured, iterative framework that handles data uncertainty, model risk, and governance, enabling teams to move from pilots to production with measurable outcomes. He highlights the need for new project‑manager mindsets, built‑in ethics and risk controls, and preparation for the emerging shift from AI tools to autonomous AI agents.

By AI Today
Lee Lambert on AI, Human Skills, and the Evolution of Project Management
Podcast•Dec 3, 2025•0 min

Lee Lambert on AI, Human Skills, and the Evolution of Project Management

In this AI Today episode, Lee Lambert—PMI Fellow and co‑founder of the PMP certification—explores how AI is reshaping project management, emphasizing that a growth mindset and power skills such as communication, leadership, and empathy are more critical than rote knowledge....

By AI Today
Ashima Sharma on Data, Teams, and the Human Side of AI
Podcast•Nov 19, 2025•0 min

Ashima Sharma on Data, Teams, and the Human Side of AI

In this episode, Ashima Sharma emphasizes that successful AI adoption hinges on three pillars: clean, contextual data; cross‑functional, empowered teams; and a human‑centered mindset that treats AI as a collaborative partner. She explains why many AI projects falter without operationally...

By AI Today