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Artificial Intelligence

Episode: Understanding the Stages of Enterprise AI Maturity

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10 Minutes on Advancing from AI Pilots to AI Native Enterprises

In this episode of GydeBites, host Prasanna Vaidya speaks with Kirty Jain on what enterprise AI maturity means and why many AI initiatives fail to move beyond pilots. Kirty breaks down the stages of AI maturity, from exploratory proof-of-concepts to operational AI systems and fully AI-native enterprises.

The conversation explores the challenges of deploying AI in production, the importance of governance, MLOps, data quality, adoption, and the cultural shifts organizations must make to succeed with AI across the enterprise.

Kirty also shares practical insights on building trustworthy AI systems and explains why strong data foundations are critical for long-term enterprise AI success.

Questions covered in this episode:

What is enterprise AI maturity & its stages? How can an enterprise assess where it stands?

What blocks the move from experiments to production at scale?

What fundamentally changes when AI reaches production?

How do people, processes, and culture impact progress across stages?

What defines an AI-native enterprise?

Meet the Speaker

Kirty Jain

AVP, Program Manager, Nasdaq

With over 20 years of experience building low-latency, high-throughput systems across trading, fintech, and enterprise domains. He has led end-to-end design, development, delivery, and operations of multiple software platforms, and is now focused on building enterprise AI systems and AI-native products.

Kirty Jain

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