Democratizing access to AI/ML-powered insights to accelerate BioPharma process optimization
Design, run and analyze experiments and processes in a single digital platform for end-to-end context, visibility, traceability and effective optimization
Create a more efficient path to process understanding
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.
Meet our speaker
Director, Data Science & Analytics, IDBS
Data Science and AI leader helping Pharma and Biotech in their digital transformation. Alberto holds a PhD in bioinformatics with a long experience in data science and biomedical domains. He co-founded Integromics, a Bioinformatics start up, in 2003. The company received the Frost and Sullivan European Bioinformatics Project of the Year Award for 2007. He has since served in senior roles in AI and Analytics Innovation within the industry. Currently he is the Director of Data Science and Analytics at IDBS where he is responsible for developing and executing IDBS’ strategy on AI, Data Science and Analytics to deliver novel products and services to our customers in life sciences R&D and manufacturing markets.