Explore SciBite’s full suite of solutions to unlock the potential of your data.
Discover how SciBite’s powerful solutions are supporting scientists and researchers.
Gartner® How to calculate business value and cost for generative AI use cases
Explore expert insights, articles, and thought leadership on scientific data challenges.
Discover our whitepapers, spec sheets, and webinars for in-depth product knowledge.
Explore SciBite’s full suite of solutions to unlock the potential of your data.
Explore SciBite’s full suite of solutions to unlock the potential of your data.
Discover how SciBite’s powerful solutions are supporting scientists and researchers.
Gartner® How to calculate business value and cost for generative AI use cases
Explore expert insights, articles, and thought leadership on scientific data challenges.
Discover our whitepapers, spec sheets, and webinars for in-depth product knowledge.
Explore SciBite’s full suite of solutions to unlock the potential of your data.
SciBite / Knowledge Hub / Resources / Building a scalable FAIR data ecosystem [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:
Simplify architecture, automate processes and ensure better data governance with a smarter data management system that integrates across third-party platforms. SciBite technology has already been integrated into several data management platforms; discover how you can revolutionize your organization’s data management.
Harpreet is the Director of Technical Sales at SciBite, a leading data-first, semantic analytics software company. With a strong background in data management and analytics, Harpreet has played a vital role in assisting numerous organizations in implementing knowledge graphs, from data preparation to visualization to gaining insights.
Other articles by Harpreet:
"*" indicates required fields