Why Your AI Initiative Will Fail (And How to Fix It)

Join AWS specialists, GitLab experts, and successful startup leaders to uncover the hidden truth behind AI project failures. While teams focus on models and algorithms, 80%+ of AI initiatives stumble on a fundamental challenge: getting their data foundation right.

What You'll Discover:

The Data Reality: Why data preparation, migration, and platform modernization make or break AI success

Agentic Acceleration: How AI-powered coding tools transform data pipeline development, ETL generation, and platform deployment

GitLab Integration: Samer Akkoub will discuss how Gitlab is solving the AI paradox in software delivery through intelligent orchestration. During the session, you’ll learn about the technology behind GitLab’s Duo Agent Platform and how AI across the software development lifecycle accelerates development, testing and delivery.

Perfect For:

• Startups building AI/ML products struggling with data challenges
• Engineering teams modernizing data infrastructure for AI initiatives
• CTOs evaluating the data layer of their AI strategy
• DevOps teams accelerating analytics and ML pipeline development

Key Takeaways:

• Practical frameworks for AI-ready data architecture
• Kiro specs for automated data pipeline generation
• Cross-domain strategies combining data expertise with agentic coding
• Proven patterns for data platform modernization that enable AI success