Automating Engineering with AI

The demand for data engineering keeps growing, but data teams are bored by repetitive tasks, stumped by growing complexity, and endlessly harasses by an unrelenting need for speed. What if AI could take the heavy lifting off your hands? In this session, we’ll explore how AI is revolutionizing data engineering, turning pain points into innovation. Whether you’re grappling with manual schema generation or struggling to ensure data quality, this session offers practical solutions to help you work smarter, not harder.

We’ll start with foundational tools that improve coding efficiency and reduce common errors, laying a solid base for AI-driven productivity. Then, we’ll dive deeper into using AI to write data quality rules that are tailored to your needs, use AI to generate schemas faster and more accurately than ever before, and even provide actionable answers to business user questions. These practical, real-world applications will empower your team to save time and focus on strategic priorities.

Join Simon Whiteley, a deep data engineering expert with a proven track record in avoiding real work through automation as he takes the next step into automating his entire workload. You’ll walk away with a good idea of where AI is going to disrupt the Data Engineering workload, some good tips around how to accelerate your own workflows and an impending sense of doom around the future of the industry!