GenAI Data Fusion
K2view's AI Data Fusion is a comprehensive end-to-end solution that bridges the gap between generative AI language models and enterprise data ecosystems. It empowers GenAI agents to deliver accurate, contextual, and secure responses based on real-time business entity data retrieved from across your enterprise systems.
AI Data Fusion is purpose-built and engineered for high-scale 360° systems in industries such as telecommunications, finance, insurance, and healthcare, where privacy, performance, and precision are essential.
The Challenges Enterprises Face in Adopting AI
AI applications face a fundamental disconnect when interfacing with enterprise data. While foundation models are trained on extensive general knowledge, they lack access to your organization's specific, real-time operational data that is essential for delivering meaningful business interactions.
Industry research shows that 50-70% of customer service inquiries require direct access to enterprise systems. This is particularly true for questions such as "What's my current account balance?" or "Why was my bill higher this month?" that rely on real-time access to customer data that is stored across multiple business systems.
Meeting this need involves several significant data challenges for enterprises:
- Data Fragmentation — enterprise data resides across dozens of disparate systems (CRM, Billing, ERP, support platforms), making it difficult to deliver complete, unified information to AI applications.
- Real-time Requirements — AI applications require quick access to up-to-date data to deliver accurate and responsive conversational experiences.
- Security & Privacy — strict access controls and data sanitization are essential; LLMs should only access user- and context-specific data, where sensitive data is properly scrubbed.
- Scale & Performance — supporting thousands of simultaneous AI interactions while maintaining high-speed responses across enterprise-scale data volumes.
- Data Quality & Reliability — ensuring AI responses rely on complete, current, and accurate data to prevent hallucinations and preserve user trust.
AI Data Fusion Solution: Core Capabilities and Benefits
The AI Data Fusion solution addresses the above-mentioned challenges by integrating the Data Product Platform with GenAI capabilities, enabling a powerful fusion of real-time data access, AI orchestration, and operational control, across four key dimensions:
Quality & Accuracy
- Entity-centric Data Modeling — creates unified 360° views of business entities (customers, orders, products) by consolidating data from multiple source systems.
- Live Data Synchronization — maintains current information through continuous synchronization with enterprise systems.
- Quick Response Times — enables conversational AI experiences with immediate data access and retrieval.
- Accurate SQL Generation — ensures LLMs have access to the latest database structures (schema/metadata), allowing them to generate valid on-the-fly SQL queries.
Privacy & Security
- Entity-level Access Control — ensures LLMs access only user- and context-specific data.
- Dynamic Data Masking — automatically anonymizes Personally Identifiable Information (PII) and sensitive data prior to exposure to LLMs.
- Role-based Permissions — restricts access to information based on roles, ensuring that users and applications can view only data permitted by their assigned privileges.
- Built-in Data Access Partitioning — implements comprehensive data segregation at entity level, by using role-based security profiles.
Control & Trace
- Visual Flow Builder — enables editing and debugging of each step in the agent workflow for complete decision transparency.
- Cost Management — provides tracking and monitoring of token usage for cost control.
- Comprehensive Auditing — ensures every agent interaction and processing step can be audited and traced.
- Advanced Observability — features dynamic, customized tags, signals and dashboards, including deep-dive capabilities to review and track individual conversation threads.
Maintainability
- Unified Platform — delivers an all-in-one, end-to-end toolset for data retrieval and agent development, eliminating the need to learn multiple platforms or manage separate licenses.
- API Maintenance Elimination — provides up-to-date data structures directly to LLMs, removing the need for ongoing API maintenance for tools and agents.
- Flexible Model Management — enables utilization of various models and versions with per-invocation selection, achieving optimized performance, accuracy, and cost efficiency.
- Integrated Evaluation Platform — includes a GenAI evaluation and rating system for building, testing, and executing regression tests, facilitating easy assessment of conversational applications and agents with dynamic, customized dimensions and thresholds.
Altogether, AI Data Fusion uses K2view's proven Data Product Platform to transform enterprise data into AI-ready resources. The solution combines real-time data integration, enterprise-grade security, and advanced prompt engineering to deliver AI applications that are reliable and easy to scale.
GenAI Data Fusion
K2view's AI Data Fusion is a comprehensive end-to-end solution that bridges the gap between generative AI language models and enterprise data ecosystems. It empowers GenAI agents to deliver accurate, contextual, and secure responses based on real-time business entity data retrieved from across your enterprise systems.
AI Data Fusion is purpose-built and engineered for high-scale 360° systems in industries such as telecommunications, finance, insurance, and healthcare, where privacy, performance, and precision are essential.
The Challenges Enterprises Face in Adopting AI
AI applications face a fundamental disconnect when interfacing with enterprise data. While foundation models are trained on extensive general knowledge, they lack access to your organization's specific, real-time operational data that is essential for delivering meaningful business interactions.
Industry research shows that 50-70% of customer service inquiries require direct access to enterprise systems. This is particularly true for questions such as "What's my current account balance?" or "Why was my bill higher this month?" that rely on real-time access to customer data that is stored across multiple business systems.
Meeting this need involves several significant data challenges for enterprises:
- Data Fragmentation — enterprise data resides across dozens of disparate systems (CRM, Billing, ERP, support platforms), making it difficult to deliver complete, unified information to AI applications.
- Real-time Requirements — AI applications require quick access to up-to-date data to deliver accurate and responsive conversational experiences.
- Security & Privacy — strict access controls and data sanitization are essential; LLMs should only access user- and context-specific data, where sensitive data is properly scrubbed.
- Scale & Performance — supporting thousands of simultaneous AI interactions while maintaining high-speed responses across enterprise-scale data volumes.
- Data Quality & Reliability — ensuring AI responses rely on complete, current, and accurate data to prevent hallucinations and preserve user trust.
AI Data Fusion Solution: Core Capabilities and Benefits
The AI Data Fusion solution addresses the above-mentioned challenges by integrating the Data Product Platform with GenAI capabilities, enabling a powerful fusion of real-time data access, AI orchestration, and operational control, across four key dimensions:
Quality & Accuracy
- Entity-centric Data Modeling — creates unified 360° views of business entities (customers, orders, products) by consolidating data from multiple source systems.
- Live Data Synchronization — maintains current information through continuous synchronization with enterprise systems.
- Quick Response Times — enables conversational AI experiences with immediate data access and retrieval.
- Accurate SQL Generation — ensures LLMs have access to the latest database structures (schema/metadata), allowing them to generate valid on-the-fly SQL queries.
Privacy & Security
- Entity-level Access Control — ensures LLMs access only user- and context-specific data.
- Dynamic Data Masking — automatically anonymizes Personally Identifiable Information (PII) and sensitive data prior to exposure to LLMs.
- Role-based Permissions — restricts access to information based on roles, ensuring that users and applications can view only data permitted by their assigned privileges.
- Built-in Data Access Partitioning — implements comprehensive data segregation at entity level, by using role-based security profiles.
Control & Trace
- Visual Flow Builder — enables editing and debugging of each step in the agent workflow for complete decision transparency.
- Cost Management — provides tracking and monitoring of token usage for cost control.
- Comprehensive Auditing — ensures every agent interaction and processing step can be audited and traced.
- Advanced Observability — features dynamic, customized tags, signals and dashboards, including deep-dive capabilities to review and track individual conversation threads.
Maintainability
- Unified Platform — delivers an all-in-one, end-to-end toolset for data retrieval and agent development, eliminating the need to learn multiple platforms or manage separate licenses.
- API Maintenance Elimination — provides up-to-date data structures directly to LLMs, removing the need for ongoing API maintenance for tools and agents.
- Flexible Model Management — enables utilization of various models and versions with per-invocation selection, achieving optimized performance, accuracy, and cost efficiency.
- Integrated Evaluation Platform — includes a GenAI evaluation and rating system for building, testing, and executing regression tests, facilitating easy assessment of conversational applications and agents with dynamic, customized dimensions and thresholds.
Altogether, AI Data Fusion uses K2view's proven Data Product Platform to transform enterprise data into AI-ready resources. The solution combines real-time data integration, enterprise-grade security, and advanced prompt engineering to deliver AI applications that are reliable and easy to scale.
