Closing Keynote - Insights From the Modern Data Architecture in the AI Era Market Study
summary
Market study of 259 respondents reports 85% of organizations budget data architecture work and most budgets cluster at $50–100K, not multi‑million programs. Adoption priorities show 68% researching LLMs/generative AI, real‑time analytics rising to second place, and lakehouse/cloud warehousing still mainstream. Top drivers: enable AI/ML use cases and faster in‑moment decisions; top obstacles: LLM accuracy/hallucinations, governance, and tool compatibility for lakehouses. Report adds vector DBs, knowledge graphs and semantic layers as practical components.
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chapters (14)
- 0:00Introduction and survey overview
- 3:11Budget trends and project sizes
- 5:36Top data architectures in 2025
- 8:03Comparing 2023 and 2025 trends
- 10:53Perception of architecture value
- 13:23Drivers for new architectures
- 15:32Gen AI as top priority
- 17:43Primary data sources and cloud platforms
- 26:32Deep dive into Gen AI adoption
- 35:42Streaming data and real-time analytics
- 40:03Data lakehouse adoption and challenges
- 41:50Data fabric and semantic layers
- 44:41Key takeaways and future outlook
- 47:30Network for modern data architects
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