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The localization KPIs we are all familiar with (word counts, translation quality scores, on-time delivery, etc.) evolved around human translation. Those numbers made sense because people did the work. However, AI has now changed the work, but the scorecards still look the same. This creates a reporting problem. Dashboards look healthy, but the real picture…

Caroline O’Connell, Chief Revenue Officer at Vistatec, joins Host Simon Hodgkins for a timely conversation about the changing localization industry, responsible AI, enterprise content, and the growing importance of trust, transparency, and governance. Now over a year into her role at Vistatec, Caroline reflects on a period of significant change for both the company and…

In this Life Sciences – In Focus conversation with Dr. Simran Padam, Executive Director, Medical Affairs at Worldwide Clinical Trials, we discuss a physician’s perspective on some of the most complex questions facing clinical development today. With nearly two decades of experience across oncology, clinical research, and drug development, Dr. Padam explores what happens when…

At the heart of the automotive industry, some of its greatest brands are looking further into the future than at almost any point in their histories. At the same time, their history has rarely been more valuable. Mercedes-Benz provides a striking illustration during the 2026 Pebble Beach Automotive Week, bringing together what it describes as…

Localization pricing models used to revolve around buyers counting words and vendors quoting rates. But this shared logic is now breaking down. AI has changed what the work costs and where the effort sits. As a result, a word count no longer maps cleanly to value. Many teams sense the problem yet have no clear…

The localization industry is living through an odd contradiction. In-house teams are being reduced or frozen across the technology sector, yet demand for localization staffing continues to climb. Both statements are true simultaneously, and the reasons say a great deal about where the industry is heading. Why Localization Teams Are Shrinking  The past few years…

The localization industry is past the point of asking whether AI belongs in its workflows. The more useful questions now are harder ones: where does AI create real value, how do you deploy it responsibly, and how do you keep client trust intact while the technology keeps changing and advancing? Those questions do not always…

Simon Hodgkins, Chief Marketing Officer at Vistatec and Vistatec AI, explores one of the most important yet often overlooked aspects of enterprise AI adoption: evaluation. In this solo episode of VistaTalks, Simon explains why selecting the latest large language model isn't the real challenge. Instead, success depends on proving that AI-generated translations can consistently meet…

Every localization budget conversation now includes AI. Leadership wants more languages, faster turnaround, and lower cost, and AI appears to promise all three. So the pressure to adopt keeps rising. Yet the technology is rarely where AI localization goes wrong. Programs fail when AI reaches production without a partner who can manage setup, governance, quality,…

AI-generated translation has moved from experiment to everyday practice, yet many organizations still lack a reliable way to answer a basic question. Is this output actually good enough to use in production? Gut feel and spot checks do not scale, and they rarely hold up when quality, compliance, or brand reputation is on the line.…