For scientists that use analytical data in daily decision-making, automation of analytical workflows can help relieve the burden of data management and support faster decision-making. Automation can also significantly reduce data collection and preparation time. Should you be looking to automate analytical data workflows? Read more here.
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.