![]() ![]() Explore our Collections below.ĭata comes in all shapes and sizes, yet unlocking actionable insight efficiently requires deep knowledge of data science techniques. BIOVIA Pipeline Pilot, and specifically its Collections, offer vertical and horizontal domain-specific capabilities out-of-the-box, supporting users to solve their challenges from cheminformatics to sequence analysis, from image analytics to document and text searching, from lab informatics to machine learning and analytics. Scientists and engineers face different challenges. Purpose-built Solutions for Science and Engineering Support End-to-End Data Science Workflows - Deploy services where they are needed, when they are needed. Deploy Data-driven R&D Operations - Help your teams work smarter, not harder. Capitalize Scientific Knowledge and Know-How - Capture best practices standard practices as distributable, modular, shareable protocols. Democratize Data - Maximize the value of AI and machine learning for everyone. To fully benefit from the potential data science offers, organizations need an end-to-end approach to leverage their data across the science and engineering enterprise. ![]() ![]() This disjointed, and often too generic approach, to analyze scientific and engineering data and deliver insights lowers trust in results, obstructs progress, and stifles collaboration. ![]() Teams use different tools and processes to access data, clean it, model it, and deliver results, but these results often lack the domain depth needed to drive innovation. However, many scientific and engineering-based organizations still struggle to effectively utilize the data at their disposal. Operationalize Data-driven and AI-based Workflowsĭata has become ubiquitous. Leveraging BIOVIA Pipeline Pilot and its Collections, users author data pipelines, or protocols in Pipeline Pilot, to deliver integrated, data-driven solutions, and potentially combine them with other BIOVIA applications to augment out-of-the-box capabilities. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |