GenAI Data Fusion
K2view 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 powered by 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 mission-critical requirements.
The Enterprise AI Challenge
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 indicates that 50-70% of customer service inquiries require direct access to enterprise systems. Questions such as "What's my current account balance?" or "Why was my bill higher this month?" demand immediate access to customer-specific data distributed across multiple business systems.
This need presents several critical data challenges for enterprises:
- Data Fragmentation: Enterprise data resides across dozens of disparate systems (CRM, billing, ERP, support platforms), making it challenging to provide complete, unified information to AI applications
- Real-Time Requirements: AI applications require quick access to current data to support conversational experiences and ensure response accuracy
- Security & Privacy: Strict access controls and data sanitization are essential - LLMs should only access data relevant to the current user and specific business context, and with appropriate scrubbing or masking of sensitive content.
- Scale & Performance: Supporting thousands of concurrent AI interactions while maintaining rapid response times across enterprise-scale data volumes
- Data Quality & Reliability: Ensuring AI responses are grounded in complete, current, and accurate information to prevent hallucinations and maintain user trust
AI Data Fusion Solution: Core Capabilities and Benefits
AI Data Fusion solution addresses these 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 underlying enterprise systems
- Quick Response Times: Enables conversational AI experiences with immediate data access and retrieval
- Accurate SQL Generation: Provides up-to-date data structures to LLMs for building accurate, on-the-fly SQL queries
Privacy & Security
- Entity-Level Access Control: Ensures LLMs access only data relevant to the current user and specific business entity
- Dynamic Data Masking: Automatically anonymizes personally identifiable information (PII) and sensitive data before transmission to LLMs
- Role-Based Permissions: Guarantees users and applications view only authorized information based on their access privileges
- Built-in Data Access Partitioning: Implements comprehensive data segregation at the entity level, by using 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 token consumption tracking and monitoring for precise 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 leverages 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 sophisticated prompt engineering to deliver AI applications that enterprises can trust and scale with confidence.
GenAI Data Fusion
K2view 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 powered by 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 mission-critical requirements.
The Enterprise AI Challenge
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 indicates that 50-70% of customer service inquiries require direct access to enterprise systems. Questions such as "What's my current account balance?" or "Why was my bill higher this month?" demand immediate access to customer-specific data distributed across multiple business systems.
This need presents several critical data challenges for enterprises:
- Data Fragmentation: Enterprise data resides across dozens of disparate systems (CRM, billing, ERP, support platforms), making it challenging to provide complete, unified information to AI applications
- Real-Time Requirements: AI applications require quick access to current data to support conversational experiences and ensure response accuracy
- Security & Privacy: Strict access controls and data sanitization are essential - LLMs should only access data relevant to the current user and specific business context, and with appropriate scrubbing or masking of sensitive content.
- Scale & Performance: Supporting thousands of concurrent AI interactions while maintaining rapid response times across enterprise-scale data volumes
- Data Quality & Reliability: Ensuring AI responses are grounded in complete, current, and accurate information to prevent hallucinations and maintain user trust
AI Data Fusion Solution: Core Capabilities and Benefits
AI Data Fusion solution addresses these 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 underlying enterprise systems
- Quick Response Times: Enables conversational AI experiences with immediate data access and retrieval
- Accurate SQL Generation: Provides up-to-date data structures to LLMs for building accurate, on-the-fly SQL queries
Privacy & Security
- Entity-Level Access Control: Ensures LLMs access only data relevant to the current user and specific business entity
- Dynamic Data Masking: Automatically anonymizes personally identifiable information (PII) and sensitive data before transmission to LLMs
- Role-Based Permissions: Guarantees users and applications view only authorized information based on their access privileges
- Built-in Data Access Partitioning: Implements comprehensive data segregation at the entity level, by using 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 token consumption tracking and monitoring for precise 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 leverages 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 sophisticated prompt engineering to deliver AI applications that enterprises can trust and scale with confidence.
