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Data Readiness for AI

To effectively harness the power of large language models and equip your teams with trusted AI tools, you need a strong foundation of reliable, secure, ai-ready data. Unstructured data increases in volume and complexity with every passing day, so it’s critical that you have powerful tools to automate the collection, curation, and health of your content. Transform your data into knowledge that is certified, actionable, and ready for AI initiatives and applications.

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How to ensure you have AI ready data

Harness the power of data integrations and real-time content health tools to curate precise, relevant, AI-ready data in Bloomfire. This enhances the effectiveness of search and large language models to bolster productivity and build deeper trust in accuracy and security.

Drag and Drop Editor
Centralize Unstructured Data

Curate, deep-index, and sync content and resources across your tech stack with Enterprise Search integrations.

Make Data-driven decisions
Build Your Information Architecture

Auto-tag your data, create a flexible taxonomy, and curate collections of content.

Compliance Ready
Audit Your Data

Use robust analytics and AI to identify knowledge gaps and redundant, outdated, and trivial information.

Create Series of Related Content
Certify Knowledge for AI

Create data readiness for your business by building a trusted knowledge base for your Enterprise AI.

AI model for Knowledge Management

52% of IT leaders report challenges achieving AI’s productivity benefits due to insufficient, unstructured, or low-quality data.

Source: Gartner
64 %

of Bloomfire customers report they can make more and better data-driven decisions because they leverage Bloomfire

87 %

of Bloomfire customers have improved their knowledge governance to protect themselves against security risks

90 %

of customers report that team member save an average of one hour per week

Frequently Asked Questions

Yes, you can integrate knowledge from Bloomfire into your organization’s AI tools. Contact our team to discuss your goals and learn more.

Unstructured data is data that does not adhere to a predefined format or structure and often makes up the majority of knowledge at an organization. This includes everything from text files like docx and pdfs to presentations, images, and audio and video.

Information architecture provides methods and tools for organizing, labeling, building relationships, and giving structure to unstructured data, often in the form of metadata. This is often described as tagging, categorizing, or building a taxonomy for your knowledge.

Absolutely. The safety and security of our customer data is paramount. We are SOC 2 Type II compliant and ensure your data remains confidential and protected with end-to-end encryption. Some of our best customers come from highly regulated industries like healthcare, financial services, banking, and the government.

Yes. We leverage our proprietary technology and a variety of AI techniques, including intent recognition, semantic search, and large language models (LLMs).

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See how Bloomfire helps companies find information, create insights, and maximize value of their most important knowledge.

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See Bloomfire in action across several potential configurations. Imagine the potential of your team when they stop searching and start finding critical knowledge.

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