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AI at scale: From project to production | BARC Study

Free study

Lessons from the Leading Edge: Successful Delivery of AI/GenAI

Based on our analysis of successful AI leaders, this study provides a clear roadmap for project implementation. It shows how to avoid common pitfalls and ensure your AI initiatives deliver quantifiable business results.


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This study explores the following questions

  • How are leading enterprises structuring and scaling AI and GenAI projects?
  • What are the most common challenges and failure points in AI delivery—and how do top performers overcome them?
  • What is the role of data strategy and architecture in becoming AI-ready?
  • How do AI leaders manage costs and measure success in today’s market?

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Further information

Lessons from the Leading Edge: Successful Delivery of AI and GenAI examines how top-performing companies have translated AI ambition into measurable business results. Drawing on insights from 421 global respondents, the report builds on BARC’s 2024 benchmark study, Optimizing Your Architecture for AI Innovation, to reveal what’s changed – and what hasn’t – over the past 18 months.

This survey identifies the key characteristics of AI leaders, the strategies that drive success, and the pitfalls that slow progress. You’ll gain an understanding of what differentiates true AI leaders and how to apply those lessons within your own enterprise.

Author(s)


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Shawn Rogers
CEO BARC US
International data & analytics thought leader with nearly three decades of experience spanning analyst, author, and executive roles across BI, AI, and cloud technologies.

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Merv Adrian
Merv Adrian
Senior Analyst Data & AI
Drawing on four decades of experience that began in programming and evolved to roles in research leadership and market analysis, he provides strategic guidance on databases, cloud platforms, and AI/ML.

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