Why Better AI Starts With Better Data with Gemma Newlove – VistaTalks Ep 204

Gemma Newlove, Director of Sales at Vistatec, joins Host Simon Hodgkins for a timely conversation about the rapidly expanding world of AI data, multilingual model development, and the critical role localization expertise plays in building AI systems that work reliably across global markets. Drawing on a decade in localization and an increasing focus on AI data, Gemma explores data collection, annotation, multimodal AI, synthetic data, representation, quality, governance, and the enduring importance of human judgment.

The Future of Global AI Is Human-Informed

The central takeaway from Gemma Newlove's conversation on VistaTalks is that more data is not automatically better data. Effective AI requires datasets designed intentionally around the people, markets, environments, and situations in which a system will actually operate. Real-world data matters. Synthetic data has an important supporting role. Representation needs to be designed rather than assumed. Governance must begin at collection. Quality requires clear specifications and meaningful arbitration.

And throughout all of it, human judgment remains indispensable.

For organizations building AI products for international audiences, Vistatec’s decades of experience managing language, cultural complexity, quality, and global operations may prove more valuable than ever.

00:00 - Welcome, Gemma Newlove

01:08 - Why AI Data Is Becoming So Important

03:37 - Why Good Data Collection Comes First

06:34 - The Challenge of Multimodal Data Across Markets

10:00 - Representation, Diversity, and AI's “Edges”

12:48 - Where Synthetic Data Fits Into AI Development

16:46 - What High-Quality AI Data Really Means

20:17 - Privacy, Governance, and the Future of Localization and AI Data

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