Why Data Architecture Determines AI Success or Failure

Learn how data architecture fundamentally impacts artificial intelligence outcomes in this 57-minute webinar featuring ArangoDB's CEO Shekhar Iyer and Forrester analyst Indranil Bandyopadhyay. Discover the critical relationship between data infrastructure design and AI project success rates, exploring why many AI initiatives fail due to inadequate data architecture foundations. Examine real-world case studies that demonstrate how proper data architecture enables AI scalability, performance, and reliability, while poor architecture leads to project failures and wasted resources. Gain insights into best practices for designing data architectures that support AI workloads, including considerations for data quality, accessibility, governance, and integration across multiple sources. Understand the strategic importance of investing in robust data infrastructure before launching AI initiatives, and learn how to evaluate your current data architecture's readiness for AI implementation.