Overview
Institutional business knowledge may be siloed, trapped by organizational complexity, or hidden in labyrinthine storage and management layers. We can set up an AI-assisted knowledge retrieval interface that is layman-friendly, adaptable, and can synthesize new knowledge by cross-referenced extrapolation.
AI-powered platforms can disseminate organizational knowledge more effectively than ever. With AWS services like Amazon Lex, Amazon SageMaker, and AWS Lambda in combination with open-source agentic frameworks like LangChain and techniques like retrieval-augmented generation, you can improve operations and make data-driven insights more accessible.
Our Process: We’ll conduct a 1-hour consultation run by a generative AI specialist to discuss your internal knowledge sources and empower them with AI-assisted knowledge retrieval on AWS. As part of this, we work backward with you to understand your use-case and what you’re hoping to achieve and then design an AWS infrastructure with Generative AI best practices, using established tools.
Highlights
- Operational Efficiency - reduce costs and manual effort associated with knowledge work and free up employees time on undifferentiated tasks to focus on strategic business outcomes.
- Knowledge Synthesis - take discrete data and cross-reference to generate new knowledge
- Data-Driven Insights - enhance analytics workflows and other business intelligence tasks
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