Coding can take scientists from participants to owners of their data. More and more it is becoming clear that every organization needs to employ workers with data science skills. As more scientists become data scientists, the move towards digitalized data will accelerate.
Richard Lee discusses the global trend around the development of machine learning (ML) and artificial intelligence (AI) capabilities. As utilization of ML/AI continues to grow, R&D organizations will likely continue to focus on how to normalize data into a format that can be fed into a ML/AI framework.
Richard Lee reflects on how biotechnology organizations can use their historical data to address real chemistry world problems; especially during this time when more and more scientists are working remotely.
Defining Technology Buzzwords: What Machine Learning, Data Lakes and Artificial Intelligence Means for You
Richard Lee breaks down the current technology buzzwords and what you need to know about machine learning, data lakes, artificial intelligence, and more.
Join us at ASMS 2016 where we announce the launch of a new solution related to metabolite identification that I’m personally very excited about sharing with the scientific community. In addition to the launch of our new product, ACD/Labs will be exhibiting at booth #701, participating in a presentation, and hosting a seminar.