The promise of generative AI (GenAI) is immense, but so are the challenges. While organizations are rushing to invest in large language models (LLMs) and new use cases, this survey of 259 data professionals, conducted by Radiant Advisors, reveals a critical gap between ambition and reality.
The top obstacles aren't just technology—they are cost, accuracy, and the fundamental struggle to integrate enterprise data for reliable AI outcomes. How can leaders navigate this without getting bogged down in operational details?
This executive summary is your blueprint. We’ve condensed this comprehensive 52-page report into the essential strategic insights you need to lead your data architecture evolution. Learn what your peers are focused on, where they're investing, and how they're tackling the biggest hurdles to AI success.
Download this summary to gain a clear, concise understanding of the modern data landscape and how to build a foundation for innovation.
Need the full analysis? This summary provides the essential takeaways. The full 52-page report offers a detailed breakdown of all survey results, use cases, and cloud platform choices.
