Dynamic Knowledge Foundation powered by WorkstateAI

Typical knowledge bases frequently include large volumes of unstructured and structured content that are locked in formats that are not easily consumed. Management of that information is a time-consuming process and each new document and artifact added only increases the level of effort required, both to keep the knowledge base in a usable format and to run routine processes required for business operations.

WorkstateAI: Dynamic Knowledge Foundation leverages the latest in AWS Machine Learning (ML), AI tools, intelligent document processing and Natural Language Processing (NLP) across Large Language Models (LLM), and utilizes human-in-the-loop customizations to curate diverse data sources.

WorkstateAI’s framework simplifies unstructured content like large quantities of undifferentiated text and industry-specific jargon. In addition, this solution transforms and curates highly structured, difficult-to-read content, such as large, complex tables, into more easily understandable formats.

WorkstateAI: Dynamic Knowledge Foundation creates a continuously updated dynamic knowledge base that not only quickly delivers fresh insights into your data, but also automates routine tasks, empowering your staff to focus on higher-value activities.

Key Deliverables

• Fully customizable system, scalable and configurable solution curates your knowledge base for seamless integration with AWS AI tools.
• Intelligently ingests and classifies new content, continuously building and automating your user-friendly knowledge base without extra effort.
• Allows users to search, filter, review, and tune data via a dashboard, complete with analytics and visualizations.

Use Cases (including but not limited to)

• Enabling customer service tools such as Amazon Q and Amazon Connect
• Establishing curated data lakes to support AI initiatives
• Feeding clean, normalized data into analytics tools
• Leveraging machine learning processes to create comprehensive knowledge bases