Democratizing access to AI/ML-powered insights to accelerate BioPharma process optimization

Bridging the access gap for scientific decision-makers to critical insights, from data generated along the BioPharma development lifecycle, has the potential to transform their ability to make faster, effective decisions to accelerate robust, scalable and higher-yielding process development and improve manufacturing efficiency.

Whether striving to better optimize processes and/or equipment performance, ensure process quality controls or find the critical path to plan future work, scientists are hampered by poorly contextualized and siloed data that typically requires multiple tools and a high level of expertise in statistics and complex analytics to interpret.

In this webinar, we will share how the new IDBS Polar Insight data science engine speeds time-to-insight by providing advanced analytics capabilities, such as Design of Experiments (DoE), Multivariate Analysis (MVA) or cell line genealogy in visual formats easily accessible to end users.

Scientists are empowered with direct access to insight from the complex data sets they generate, historic data or data generated across teams curated through Polar digital workflows and seamless equipment integrations, creating a more efficient path to process understanding.

Learn how you can: 

• Design, run and analyze experiments and processes in a single digital platform for end-to-end context, visibility, traceability and effective optimization
• Eliminate cumbersome and time-consuming manual alignment and data integrity risks from the import/export of data sets
• Reduce reliance on specialist analytics tools and/or data scientists for day-to-day analysis
• Unlock much-needed capacity and focus resources on activities with the greatest impact on quality and performance.