Image showcasing Bloomfire's AI-Powered Authoring Tools, emphasizing advanced features for knowledge management authoring

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 and secure knowledge. Your enterprise’s unstructured data increases in volume and complexity with every passing day, so it’s critical for powerful data quality tools to collect, curate, and cleanse your content. These unstructured data management tools transform your data into knowledge that is certified, actionable, and ready for AI.

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How to ensure you have AI ready data

Curating unstructured data and content is one of the first steps to effective use of AI tools. Harness the power data integrations and real-time content health tools to curate precise, relevant information in Bloomfire. This not only enhances the effectiveness of search and AI, but also bolsters productivity and builds deeper trust in the accuracy and security of your data infrastructure.

Drag and Drop Editor
Centralize Unstructured Data

Curate, deep-index, and sync content from 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Use robust reporting and AI to identify knowledge gaps and information that is redundant, outdated, and trivial.

Create Series of Related Content
Certify Knowledge for AI

Improve data quality 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

The Bloomfire platform has AI functionality at every step of the knowledge lifecycle and helps to improve search performance, pinpoint exact answers for your teams, and speed up the process of authoring of content.

Data readiness for AI means you have organized your data for proper ingestion by AI models, that you have curated the knowledge made available to AI to ensure the data is trusted. Bloomfire helps content authors and data managers to locate essential data, remove redundant data, verify there is no outdated data and eliminated trivial data that can reduce the effectiveness of your AI tools. Part of a strong data governance program includes knowledge management which greatly improves the quality and availability of unstructured data.

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

Absolutely. The safety and security of our customer data is paramount. We are SOC 2 Type II compliant and ensure that 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.

We continually invest in improving all aspects of our platform, including AI. We never release a feature until we are completely satisfied that it is secure and provides accurate results.

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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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