MicroAI Brings Advanced Technologies to NQoS

The massive proliferation of connected devices and the data they produce has had a ripple effect on attaining and sustaining high levels of IT and OT network performance. Service providers need new solutions to meet the growing demands placed on networks that are increasingly dense and diverse

To address this challenge, MicroAI is leveraging a next-generation GenAI Knowledge Management Solution (KMS) to improve network quality of service (NQoS) across IT and OT operational environments in the manufacturing, telecom, automotive, and energy sectors. The MicroAI GenAI KMS combines advancements in artificial intelligence, machine learning, and natural language processing to deliver a comprehensive solution that meets the complex requirements of modern networks.

Advanced capabilities of MicroAI’s GenAI-empowered NQoS solution include:

• Faster access to data: Accurate and precise access to historical information (tickets, documents, workflows, mitigation information) via retrieval augmented generation (RAG) that leverages existing LLMs (Large Language Models).

• AI-enabled, query-based, data search: Ability to query information based on AI search capabilities than actively learn and evolve with the expanding knowledge ecosystem.

• Diagram/image retrieval:
  • Extract Features from data – text, tables, and images
  • Embed images, text, and tables together via a multi-modal embedder
  • Retrieve applicable images through a “similarity” search

• Natural Language Processing (NLP):
  • Automated mining of unstructured data for hidden insights
  • Provision of customer service that is faster and more precise
  • Ability to conduct customer sentiment analysis on a large scale

Impacts to NQoS performance include:

• Faster resolution of issues
• Forward looking network performance insights
• Fewer occurrences of repetitive issues
• Reduced issue resolution cost
• Enhanced customer experience
• Higher customer confidence
• Increased brand stickiness

And Much More!

Visit NQoS for additional detailed information on the solution and the technologies involved.