Making sense of it
Amplexor's Monika Vytiskova, senior Life Sciences industry expert, was featured in a recent issue of PharmaTimes, the UK's leading pharmaceutical magazine.
As life sciences companies’ international ambitions grow, and global regulatory scrutiny in parallel, managing translated content is becoming ever more complex. So the promise of neural machine learning as a potential solution is appealing. But just how far can the technology go in reducing workloads and improving accuracy and turnaround times?
About the Author
Monika Vytiskova is a Global Solutions Architect at Amplexor with more than 11 years of experience in the Life Sciences localization industry. She provides innovative solutions driven by technology, AI and content intelligence for medical device and pharmaceutical customers’ labeling translation programs. Previously as program manager, she led a global retrospective labeling compliance program for a top pharmaceutical company, providing deep insight into the end-to-end labeling process for all global markets and the challenges around quality control and content management. She provides strategic management for Amplexor customers exploring solutions in areas, such as regulatory intelligence or machine translation. Monika’s expertise is in practical applications of AI automation for language services that drive positive ROIs for customers.