Talks

AI has transformed how engineers work, but most hiring processes haven’t kept up. Candidates now enter interviews with AI tools that can generate code and refine system designs in seconds, yet many companies evaluate engineers as if AI didn’t exist. At Elementor, I redesigned our hiring process to focus on how engineers think, collaborate with AI, and apply judgment when AI-generated solutions fall short. In this talk, I’ll share practical strategies for assessing coding skills, system design, and behavioral signals in the AI era. Whether you’re hiring, interviewing, or leading engineering teams, you’ll leave with a framework for evaluating engineering talent today.

This session argues that simply investing in advanced technology or AI tools does not guarantee meaningful insights or success. Instead, high-performing teams use AI to enhance already strong decision-making, supported by clear goals, data literacy, and thoughtful integration into existing workflows. Success depends on defining metrics upfront and balancing automation with human judgment. Ultimately, it emphasizes that building the right culture and capabilities matters more than spending heavily on tools.

The talk delves into how new emerging conversational CX and agentic experiences reshape human and machine interactions, and the whole digital ecosystem.
– How to accelerate the agentic CX innovation by being customer-first, not AI-first
– How to drive intent-driven personalization for conversational CX and agentic experiences
– How to rethink systemic workflows to effectively combine product design, generative AI and agentic capabilities