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Generate regulatory documents for compliance submissions with OCI Generative AI

About This Workshop

Youtube Video

About This Workshop
Organizations today are challenged with analyzing large amounts of structured and unstructured data such as tables, invoices, reports for compliance reporting to regulatory authorities accurately. This requires analyzing, filtering and summarizing large volume of textual and tabular data that are typically resident in an enterprise lakehouse, on-premise servers and cloud. Producing outputs accurately and timely that conforms to a form template is a big time and effort consuming task and hence enterprises are looking to Artificial Intelligence to solve this issue.
So, in this hands-on lab, we will show how you can auto-generate and fill up compliance forms summarizing information from a pool of PDF documents to submit to regulatory authorities. This lab uses OCI Generative AI tool sets to generate custom content from a healthcare organization clinical trial dataset.
To maintain generic nature of the lab and data compliance, all source clinical trial data is auto-generated by OCI Generative AI model such as Cohere Command R+.
Learn more about the architecture, methodology and the key automation steps that can be adopted to scale compliance document generation across your enterprise knowledge base.

Workshop Info

1 hour, 30 minutes
  • Introduction
  • Getting Started
  • Lab 1 - Setup OCI Services
  • Lab 2 - Generate Clinical trials with OCI Generative AI
  • Lab 3 - Developing with OCI Data science
  • Lab 4 - Vectorize, load and evaluate
  • Lab 5 - Generate compliance document
  • Lab 6 - Using Opensearch Neural and hybrid search
  • Need Help 
  • Familiarity with Generative AI Concepts will be helpful
  • Familiarity with Oracle Cloud Infrastructure (OCI) is helpful
  • Familiarity with Opensearch is desirable and search is desirable
  • Familiarity with OCI Data science and langchain framework is helpful
  • Knowledge on Healthcare compliance industry is desirable, but not required

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