Key Challenges in Digitalization
Investments and behaviors are being reshaped by the need to turn data into business value.
Life Sciences companies have the challenge of converting terabytes of data (discovery,
clinical, regulatory, sales and supply chain) from unstructured and legacy formats into a curated and structured data set, to be made available to business
applications and mined for insights. Manual conversion process is time consuming and expensive.
Loss of insights
Expensive
Time consuming
Multiple of data sources and types
Increasing number of data silos
Complexity of data integration
Enhance all aspects of data and analytics by leveraging cloud and artificial intelligence as critical enablers and scale accelerators.
DF Digitalize AI
Our data science and domain experts have built just the right solution to enable quick pilots and cost-effective realization of value from your data assets.
Using deep learning models developed by industry experts, DF Digitalize AI is an Intelligent Document/Data Processing solution that can ingest data from multiple structured and unstructured sources, curate this data and then make the data fabric available for process automation and rich analytics, across the value cycle.
Features of DF Digitalize AI
Intelligent data processing that uses ML, deep learning, computer vision (including OCR) and natural language technologies (NLT) to extract data from structured and unstructured content.
Built on extensive bio-medical data sets, our MediLP models provide a solid foundation for building Natural Language Processing pipelines around OCR and Text Analysis.
Professional services around data transformation, AI labelling and Analytics.
Cloud Ready and regulatory compliant - allowing you to deploy on your private cloud or ours.
Rapid application development – Using Datafoundry’s event-driven micro services platform, customers can quickly build beta products or full-scale enterprise applications quickly and cost-effectively.
Our partnership ecosystem with CROs and functional service providers, academia and research institutes will enable you to access domain experts and service consultants.
From patient medical bills to researcher lab notes, from clinical and safety data to labelling data, we have built a large and highly accurate training data set to continuously refine our Medical NLP models, to allow customers to get a quick start.
Built a large and highly accurate training data set of more than
Documents and Growing.
