What would you name as the biggest obstacle for AI adoption in most businesses? Everyone seems to be building artificial intelligence-based software, also in healthcare, but no one talks about one of the most important aspects of the work: data annotation and the people behind it. That’s the point when we need a deep dive into context: How do you create a smart algorithm? Where and how do you get the data for it? What do you need for a pattern recognizing program to work well and what are the challenges? Why context matters? It is about asking a lot of questions to show why a particular piece of information, event, technology is important, how these things can provide a way to understand the world. With The Medical Futurist team we help healthcare stakeholders contextualize where they stand in the stream of new trends. So back to the main question, one of the biggest obstacles for AI adoption is the lack of labeled data. We will never have smart algorithms in healthcare without data annotators. https://lnkd.in/gJCUpZs #themedicalfuturist #digitalhealth #future #healthcare #medicine #technology #AI #artificialintelligence #chess #deeplearning #machinelearning #TMFchessjourney …see more