Beyond AI Slop:
Why Localization Needs a New Architecture

Speaker: Elizabeth Milkovits

Head of AI Engineering, Abacus Insights

Elizabeth Milkovits is a technology leader whose career spans mathematics, multilingual NLP, machine translation, and production AI systems at companies including Amazon and IQVIA. Her work has centered on a deeper challenge beneath language AI: how to give systems the structured context they need to reflect an organization’s actual intent rather than guess at it.

She currently serves as Head of AI Engineering at a healthcare technology company, where she works on agentic solutions for high-trust data environments. She is also part of the Nimdzi expert network, providing AI and localization consulting.

Elizabeth holds a PhD in mathematics and brings a researcher’s discipline to applied AI problems, especially the distinction between what models can infer and what organizations need to specify. Her current focus is the shift now facing localization and other enterprise functions: moving from correcting machine output after the fact to steering decisions deliberately, durably, and at scale.

Speaker: Erik Vogt

Founder, Vogt Strategy

Erik Vogt is a solutions and strategy leader working at the intersection of AI, localization, data services, and business transformation. He advises organizations on how to move from legacy localization models toward more adaptive, AI-enabled operating models that preserve quality, improve speed, and create measurable business value.

Erik’s work focuses on solutions design, AI workflow readiness, multilingual content strategy, governance models, data-for-AI services, and the practical realities of bringing emerging technology into enterprise localization programs. He has held senior solutions and innovation roles across the language services and AI data industries, and currently works with Nimdzi, Blackbird, Datamundi, and other industry partners to help buyers, vendors, and service providers understand where the market is moving and what capabilities they need to build next.

His current focus is helping organizations ask better questions about AI: not simply “How much can we automate?” but “What should humans still decide, what context does the system need, and how do we make language decisions durable, testable, and scalable?”

Host: Saurabh Kavaathekar

Vice President, Localization Engineering, Fidel Softech

Saurabh is a customer-focused, results-driven leader with over 24 years of experience in building high-performing global teams and delivering high-quality software products. He specializes in software globalization, program management, and business operations, with a strong track record of driving value maximization and consistent client and stakeholder satisfaction. Having led complex enterprise programs and managed portfolios exceeding $200 million, he brings deep expertise across product engineering, strategy, and go-to-market execution. A globally recognized innovator and thought leader, Saurabh is known for fostering innovation-driven cultures that create sustainable competitive advantage. Guided by strong values and integrity, he combines strategic thinking with a passion for collaboration and continuous improvement.