28 Aug GenAI Empowered Knowledge Management – A New Standard
Through the leveraging of query-based intelligence and self-learning process workflows, Generative AI (GenAI) is providing the means for companies to fully capitalize on the power of their organizational knowledge. Intelligent knowledge management has transformative implications for any enterprise that produces large volumes of data, and that need advanced capability to optimize the management, availability, and utilization of that data.
How it Works
- Utilizes wealth of collected knowledge to provide recommendations on the most effective actions.
- The GenAI system is continuously updated and augmented by a central knowledge base.
- Operates and provides insights and recommendations based on real time data for an optimized decision-making process.
- Dynamically render graphs and other visualizations based on queries to enhance recommendations.
- AI-based analytics and decision-making forms an end-to-end intelligent workflow system.
- Delivers precise and accurate outputs tailored to specific use cases.
- Enhanced by edge computing capabilities and a comprehensive knowledge base, ensuring robust domain expertise and observability.
Core Capabilities and Benefits of GenAI Knowledge Management
Current GenAI capabilities go well beyond the basic chatbot. GenAI is evolving into a dynamic subset of traditional AI and creating new possibilities across a wide range of business and operational use cases and across a broad spectrum of industries (manufacturing, industrial, automotive, oil & gas, and utilities). Capabilities and benefits include:
- Knowledge Retention
- Tacit knowledge retention despite employee turnover
- Efficient and cost-effective storage of critical operational data
- Self-learning algorithms that provide hardened protection of stored information
- Knowledge Retrieval
- AI-enabled knowledge search and discovery
- Rapid access and retrieval of current and historical information
- Intelligent Workflows
- AI-enabled workflows for data collection, analysis, and action
- Automated decision-making based on perpetual self-learning
- Retrieval Augmented Generation (RAG)
- Rapid and accurate retrieval of relevant images and diagrams that are critical to issue mitigation
- Extraction of critical data from tables, text, images, and graphics
- Ability to combine images and text via multi-modal embedding tools.
- 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 sentiment analysis on a large scale
- More accurate prediction of customer and market trends
- Predictive Analytics
- Recursive data analysis to predict upcoming trends and potential problems
- Proactive vs reactive use of knowledge acquired by the enterprise
- Extension of visibility horizon for competitive advantage
- Actionable Insights
- Data-driven insights to improve performance of…
- People
- Processes
- Machines
- Networks
- Factories
- Shifts
- Data-driven insights to improve performance of…
GenAI knowledge management brings together advancements in artificial intelligence, machine learning, and natural language processing to deliver a comprehensive solution that meets the evolving requirements of modern knowledge ecosystems. Deliverables include:
- IT and OT asset issue resolution in minutes vs hours or days.
- Reduced human intervention reduces the potential for human error while providing the opportunity to allocate expensive resources to other activities.
- Faster and more accurate retrieval and utilization of available data and images.
- More predictability via predictive analytics that extend the visible horizon for IT and OT asset stakeholders.
- Enhanced cyber-security and increased operational stability.
- Reduction in overall operation cost and improved cost predictability.
- Improved external and internal client satisfaction and enhanced ecosystem sustainability.
GenAI-Empowered Knowledge Management
