Laboratories across a variety of science- and process-driven industries are increasingly moving their R&D into a fully digitalized environment. Their goals are to streamline operations and to better leverage their data. Integrated workflows and equipment, automated data capture and standardization, and seamless software and user experiences all offer value on their own, but digital data offers more. Artificial intelligence, machine learning, data visualization and a cohesive data science strategy allow organizations to go beyond operational efficiency. BIOVIA Pipeline Pilot provides the scalable framework necessary to make this data science strategy a reality, transforming your lab into
an intelligent, data-centric machine.
GOING BEYOND A DIGITALIZED LAB
BIOVIA Pipeline Pilot is a graphical application that automates the scientific analysis of data, enabling users across the enterprise to rapidly explore, visualize and report research results without needing to write a single line of code. Pipeline Pilot optimizes the research innovation process, increases operational efficiency and reduces costs for both research and IT.
One of the major obstacles to an effective data science initiative at any organization has been maintaining the quality of the models available to end users. Often, teams rely on fads over sound fundamentals. BIOVIA Pipeline Pilot ensures that best practices are easily captured, deployed and shared across your organization, maximizing the value of your data science team and allowing them to focus their work on value-added tasks.