Overview
How does it work? • Application for workers and planners to gain transparency into their production and link it to company-specific documents to gain deeper insights • RAG architecture to access company-specific documents and interpret, summarize, and customize • Embedded data analytic modules to get insights into the status quo on assets, stock levels, or orders • Amazon SageMaker • Amazon Bedrock
How can you get started? Scoping • Scope relevant use cases according to business case • Identify required data and assess for availability • Identify relevant and necessary systems and allow access
Preparation • If required, set up required systems in separate projects • Size and create hosting environment • Gather meta information and prepare data sources
Create Platform and RAG Pipeline • Implement a text extraction tool to convert static document data into a searchable format • Deploy a RAG system to query and retrieve information from the digitised documents • Develop a protocol for regular updates to document archives ensuring data remains current
Connect to Databases • Update knowledge base with current and dynamic data streams • Enable continuous data integration for real-time insights • Foster a comprehensive view through the amalgamation of various data sources
Integrate Analytics • Develop algorithms for data analysis that cross-reference between multiple data sources • Create visualisation tools to represent the relationships and insights derived from the data • Integrate LLM-based systems for advanced data interpretation and pattern recognition
Sold by | SoftServe |
Categories | |
Fulfillment method | Professional Services |
Pricing Information
This service is priced based on the scope of your request. Please contact seller for pricing details.