Скачать или смотреть Introducing Agentic Data, The Composable Data Stack + AI, AI-native Data Tools, and Semantic Context

The modern data stack (warehouse, integration, transformation, semantic/BI layers) was designed for human use. (12:12)
An "intelligence layer" is emerging on top, consisting of data agents that automate tasks and interact with the stack. (12:07)
This evolution is driven by open data formats and the growing influence of AI. (3:01, 17:07)
AI's Role in the Future Data Stack:

AI agents will be crucial for making data insights accessible and efficient. (13:39)
Open, composable data stacks are ideal for supporting AI systems. (5:57)
Future abstractions may be built on top of SQL and semantic models to better communicate with AI. (17:51)
Impact on Data Professionals:

Increased demand for data insights will lead to higher demand for skilled data professionals. (23:41)
Junior-level roles may be automated, while senior expertise will become even more valuable. (24:55)
Advice for Aspiring Data Analysts:

Focus on developing skills in areas like SQL, statistics, and machine learning. (26:43)
Cultivate critical thinking skills to adapt to the changing landscape. (27:34)
Consider alternative learning paths beyond traditional universities. (27:19)