Three Reasons Why Digitalization and Data on the Cloud Go Hand-in-Hand
Andrew Anderson provides his insights on why digitalization and data on the cloud go hand-in-hand in this blog article.
Creating a Scientific Information Library Using ACD/Spectrus Platform
The wealth of analytical information that is generated every day in R&D organizations can provide rich insights, even months after the initial acquisition of data. With this increase in data, however, comes a significant challenge to combine, organize, access, visualize, and mine these informational repositories. In addition to the challenges of the growing volume and...
A Guide to Software Evaluation for Busy Scientists: Remember to Mind the Gap
Andrew Anderson shares his experiences helping customers identify and articulate gaps in their process, and how software can help fill those gaps.
Advancing AI Initiatives in R&D
Richard Lee of ACD/Labs discusses the possibilities of using artificial intelligence in R&D, and what this outlook means for IT leaders at pharmaceutical organizations.
Future-Proof Your IT Infrastructure for Complete Scientific Data Management
IT teams in the life sciences have always been at the forefront of employing modern technology. From ELNs, LIMS, SDMSs, and Cloud storage, to Data Lakes and more recently data science technologies for machine learning and AI. While each of these technologies have supported the innovation goals of R&D organizations, analytical data management has remained...
Reflections on Leveraging Chemistry Data in Machine Learning
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.
Ensuring Insights from Data | A view beyond ELNs, LIMS, & SDMS
Connect to the Future with Enterprise, Automated Scientific Data Management Get everyone in your organization on the same page regarding analytical data management. Starting with why analytical data is collected in the first place, this eBook explores all the major topics surrounding analytical data management today. Why do current systems fail to effectively manage analytical...
Looking Beyond Analytical Data Standardization
Externalization of R&D activities and the deluge of instrumental analytical data generated on a daily basis has resulted in increasing interest in analytical data standardization. Any standardization efforts, however, to either a single format or for data exchange between formats; should be weighed against the requirements of different users of that data, and hardware innovations....