Data Pipelines in the Age of Agentic AI (w/ definity.ai CEO) скачать в хорошем качестве

Data Pipelines in the Age of Agentic AI (w/ definity.ai CEO)

In this conversation, we break down what “agentic AI” actually means for infrastructure and data systems, not just chatbots and copilots, and why truly self-healing data platforms are still rare in real production environments. We cover: -The shift from assistive copilots to human-in-the-loop agents to fully autonomous systems. -Why most “self-healing” claims fall apart at scale. -Why different failure types (data quality, schema drift, SLAs, infra issues) require different remediation depth. -The trust problem: what happens when agents start generating hundreds of jobs/pipelines per week. -Why guardrails and step-by-step validation in pre-prod matter more than “after the fact” monitoring. -Why cost optimization and performance tuning must be embedded into the system (not left for dashboards and postmortems). -The biggest myth in AI implementations. If you’re building agentic workflows for data engineering, platform reliability, or observability, this is the conversation to hear before you put autonomy anywhere near production. If you enjoyed this video, please consider subscribing to the channel as well as connect on LinkedIn at   / josuebogran