Applying CPMAI Methodology to AI Projects: Interview with Chris Mielke [AI Today Podcast]

Oct 23, 2024

Chris Mielke, a seasoned project manager from Accela Pharma Sciences with over 20 years' experience, shares invaluable insights on managing AI projects across industries. He discusses the unique challenges faced in the pharmaceutical sector, emphasizing ROI and data quality. Mielke delves into the CPMAI methodology, contrasting it with traditional Agile practices. He also highlights the importance of AI integration in project management and the rise of agentic AI, urging professionals to adapt and experiment with emerging tools for success.

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ANECDOTE

Cross Industry PM Background Shaped AI Interest

Chris has 20+ years of PM experience across industries including pharma, video games, and distilling.
He uses that cross-industry experience to see projects from inception to delivery and apply AI where it fits.

INSIGHT

ROI Is The Gatekeeper For AI Projects

Finding measurable ROI is the primary gating factor for AI projects and often stops initiatives before they start.
Chris Mielke recounts multiple AI projects canceled because teams couldn't quantify cost, time, or resource savings clearly enough.

INSIGHT

Data Quality Regularly Breaks AI Timelines

Poor data quality consistently undermines AI efforts and requires extensive cleaning before models are usable.
Chris explains teams frequently believe data is ready until parsing reveals it's unusable in its current state.

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