Part 6/11:
Vikas points out that the design of resilient, self-healing architectures involves complex monitoring, diagnosis, and human oversight to ensure compliance with security and privacy laws such as GDPR. Fully autonomous systems may be a few years away, as guardrails, explainability, and ethical AI principles still demand human input.
AI as a Catalyst: Democratizing Data Engineering
The panelists see AI-driven automation as democratizing access to sophisticated data engineering capabilities. Tools built on large language models (LLMs), like ChatGPT, enable non-engineers—business analysts, product managers, and even non-technical stakeholders—to generate code snippets, test data pipelines, and experiment with data products rapidly.