BA Insight

BA Insight AI Enablement Platform

BA Insight offers an AI Enablement Platform designed to reduce AI risk and waste by unifying access to enterprise data sources so you can leverage any AI engine you choose. It emphasizes data quality, security, and comprehensive cross-source data integration to improve the success rate of AI initiatives.

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Overview

• AI Enablement Platform focused on safeguarding and accelerating AI investments by connecting to disparate data sources and enabling flexible AI deployments.
• Addresses common AI project failure drivers: bad data, unsecured data exposure, incomplete data views, and rigidity in AI technology choices.
• Supports integration with a wide ecosystem of data sources and AI models to provide a unified search and analytics experience across the organization.

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Key Capabilities

• 95+ Connectors: Unite siloed business applications and systems across the enterprise; custom connectors can be built on request.
• Technology Agnostic: Integrates with leading LLMs and generative AI technologies to extend AI across applications.
• End Application Bouncing Reduction: Centralized search so users can find what they need without switching apps.
• Semantic Understanding: Deep, contextual understanding of user queries to improve search relevance.
• Conversational Search: RAG-enhanced search for accurate content identification tailored to Generative AI needs.
• Environment Flexibility: Choose your AI provider, LLM, search engine, and UI to fit your tech stack.
• Content Enrichment: Tagging, indexing, and enrichment of enterprise content to improve searchability.
• AI & ML-Driven Personalization: Recommendations and content relevance driven by AI/ML models.
• Fast Time to Value: Out-of-the-box solutions allow rapid deployment of effective search experiences.
• Scalability: Easily deployable to 50 or 500,000+ users.

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How It Works

1. Connect to multiple enterprise data sources using pre-built connectors or custom connectors.
2. Index and enrich content to create unified search indexes across systems.
3. Deploy AI-powered search experiences that support retrieval-augmented generation, contextual queries, and cross-source insights.
4. Choose and integrate preferred AI models/LLMs, while maintaining governance and security over data.

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Use Cases

• Enterprise search across heterogeneous data sources (documents, databases, apps).
• AI-powered knowledge discovery and governance to accelerate decision-making.
• Secure, governed AI initiatives with granular access control and content tagging.
• Rapid deployment of search experiences for large organizations with diverse data environments.

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Safety, Security & Compliance

• End-to-end data governance with fine-grained access control.
• Emphasis on protecting sensitive data while enabling AI-driven insights.
• Focus on mitigating common AI project risks through robust data integration and governance.

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Core Features

• 95+ Connectors to enterprise data sources (out-of-the-box and custom options)
• Technology-agnostic integration with leading LLMs and AI technologies
• Unified enterprise search across multiple systems and apps
• Semantic understanding for deeper query context
• Conversational search with Retrieval Augmentation Generation (RAG)
• Flexible deployment options aligned with your tech stack
• Content tagging, indexing, and enrichment for improved search results
• AI/ML-driven personalization and recommendations
• Fast time-to-value with out-of-the-box solutions
• Scalable architecture supporting 50 to 500,000+ users
• Privacy-conscious data handling and governance to minimize risk