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:
Modak, a leading provider of data engineering solutions, and SciBite, an award-winning provider of semantic analytics technologies, today announced a partnership that will empower Life Science enterprises to fast track the process of generating insights from research publications, patents, and documents, which is crucial for advancing scientific discovery.Read
In our previous blog, we explained why FAIR data is important not only for biotech and pharmaceutical companies but also for their partners. Here we describe how ontologies are the key to having the richly described metadata that is at the heart of making data FAIR. Let’s explore how ontologies help with each aspect of the FAIR data principles…Read
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