Building a scalable FAIR data ecosystem to extract insights faster and more efficiently
[SciBite + Modak Webinar]

Digital transformation has created vast data assets, that when combined with developments in AI and ML, offer the potential to revolutionize the way that drugs are discovered and brought to market. However, the scale, complexity, and siloing of this data remains a significant roadblock that needs to be overcome.

Highlights from the webinar “Building a Scalable FAIR data ecosystem to Extract Insights faster”.

In this webinar, learn how Modak and SciBite are collaborating to de-silo enterprise-wide scientific data and provide harmonized and machine-readable data aligned to common enterprise data standards, fueling innovation in the life sciences. We will explore how these key practices can revolutionize the way enterprises approach scientific research and unlock and accelerate new insights from vast amounts of structured and unstructured data.

We will delve into integrating and orchestrating data from diverse public data sources, standardizing and harmonizing unstructured data with named entity recognition (NER), and how this can be combined with enterprise ontology management to deliver data that is aligned to enterprise-wide data standards and support downstream applications that fuel scientific discovery.

During this session, you’ll learn:

• How to unlock insights from unstructured scientific text
• Modak and SciBite Synergy
• Named entity recognition (NER) and Ontology Management
• Modak Nabu™ and SciBite TERMite joint product demonstration

Presenters

• Harpreet Singh Riat, Technical Sales Manager at SciBite
• Mayank Mehra, Product Manager at Modak
• Govardhan Jeeru, Senior Data Engineer at Modak