In this episode, Paul sits down with renowned data strategist Khaled Chowdhury to unpack what it means to bring clarity to data in the age of AI. With a background in FP&A and a track record as an early Power BI adopter, Khaled brings a rare blend of financial and technical expertise. The conversation explores the concept of "data clarity," the challenges behind AI adoption in business, and why clean data models matter more than ever.

Khaled Chowdhury is a globally recognized expert in data strategy and the founder of Data Crafters. With roots in FP&A, Khaled was among the first to integrate Power BI into planning workflows. Today, he helps executives and teams transition from data chaos to clarity, particularly as AI transforms the business landscape.

Expect to Learn:

What “data clarity” really means and why it matters for business decisions.
The two big barriers preventing organizations from becoming data-driven.
What the “AI paradox” is and why 95% of enterprise AI projects fail.
Why your data model is the hidden make-or-break factor in using AI tools.
How to think about probabilistic vs. deterministic results in AI systems.

Khaled Chowdhury and Paul Barnhurst offer a thought-provoking exploration of how data and AI are reshaping decision-making in the modern enterprise. From breaking down the myths of being data-driven to unpacking the AI paradox, their conversation highlights the growing need for clean data, smart models, and strategic thinking.

Join hosts Glenn and Paul as they unravel the complexities of AI in finance:

Follow Khaled Chowdhury:

LinkedIn: https://www.linkedin.com/in/khaledchowdhury/

Follow Paul:

LinkedIn - https://www.linkedin.com/in/thefpandaguy

Follow QFlow.AI:

Website - https://bit.ly/4i1Ekjg

Future Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai.

Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.

In Today’s Episode:

[01:44] - Defining Data Clarity and the Cost of Chaos

[04:05] - Data-Informed Gut vs. Data-Driven Myths

[06:54] - The AI Paradox Explained

[09:18] - Why AI Projects Fail in the Enterprise

[13:33] - Clean Data Models: No Hiding Behind Lipstick

[14:26] - Closing Thoughts & What’s Next

The AI Paradox for Finance Leaders to Solve with Data Clarity & Smarter Decisions - Khaled Chowdhury

The FP&A Guy Network