Large Language Models (LLMs) and AI interfaces open-up numerous opportunities for businesses to analyze both structured and unstructured data. However, these possibilities can pose challenges. Rackspace Intelligent Co-worker for the Enterprise (ICE™) was developed to simplify this process. Now, you can swiftly implement a generative AI driven Minimum Viable Product (MVP) for your enterprise on AWS in 8 weeks.

ICE represents a groundbreaking generative AI system that represents the future of AI in the workplace. Its purpose is to draw inferences and generate text based on proprietary, carefully curated enterprise data housed in a secure and private enterprise tenant. When combined with LLMOps, employees can engage in helpful and secure conversations with an AI assistant aligned with their company's values and goals. This service works across AWS services including: Amazon Bedrock, Amazon Q, Amazon Kendra, Amazon Lex, Amazon Translate, Amazon SageMaker Studio Lab, Amazon Comprehend, AWS Glue and Amazon Textract.