TechGist05

This is a post that was originally published on the SDL website in two parts which are combined here in a single long post. This post also reflects the expertise of my colleague Matthias Heyn, VP of Life Sciences Solutions at SDL. ===== This first post in an ongoing series takes a closer look at the emerging use and acceptance of machine translation (MT) in the Life Sciences industry. We take a look at the expanding role MT is likely to have in the industry over the coming years and explore some key use cases and applications. The Life Sciences industry, like every other industry today, feels the impact of the explosion of content and of the driving forces that compel the industry to use MT and machine learning (ML). The growth is caused by: The volume of multilingual research impacting drug development The increasing volume of multilingual external consumer data now available (or needed), which influence drug discovery, disease identification, global clinical research, and globa...

Recently I have had reason to look closely at how content flows, user experience and the e-Commerce market are related, and I noticed some things that I thought were worth pointing out and highlighting in a blog post. These connections were triggered by a post I saw on Content Fabric by Anna Schlegel. The demands of the digital landscape and the 21st-century digital audience are challenging and some might say unforgiving for a modern global enterprise. Generally, no internet user is searching the web hoping to find a corporate advertisement and hear about how great your products are in standard corporate and marketing-speak product overviews. Most of the time, the random user on the web is not searching for you or for your company. More than likely, they are searching for an answer to a question . If you can provide a useful answer, they may spend more time and look more closely at your website, social presence, and other content. If  you can help them understand, and educate them...