Analytics is the key to unlocking meaningful patterns in data. In science based industries it requires awareness of complex data types to process large chemical, genomic, proteomic, textual and image data streams. BIOVIA Pipeline Pilot’s capabilities harness multiple disciplines to help organizations understand complex systems and decipher everything from molecular behavior to optimal production processes. Simplify your data science workflow.
The Analytics and Machine Learning Collection for Pipeline Pilot gives you the tools for everything from data ingestion, cleaning and exploration, to model building, validation, deployment, optimization, and design of future experiments – all in a single environment.
Build on a robust framework for model building, validation and deployment
Utilize a comprehensive set of pre-implemented prediction algorithms
Data pipelining architecture scales to enormous data sets
Use code-optional drag and drop, or write your own scripts in R or Python
Our algorithms are designed to work with various numerical, chemical, biological, textual, and image data types
Employ custom, domain-specific analyses with a library of curated scientific component collections
Build better models with our built in validation techniques
Easily interpret model results with interactive visualizations
Increase your odds of success with tools that ensure models are applied properly when making predictions
All models are automatically saved in Pipeline Pilot for easy re-use, sharing or deployment
Deploy models across BIOVIA and 3rd party applications or as web services to achieve faster, more efficient processes to drive innovation
Learn more about BIOVIA Pipeline Pilot to accelerate your innovation in science and engineering.
Anything on your mind. We will be glad to assist you!