Agolo Summarization for the Public Sector

Автор: Agolo

AI-driven summarization easily integrated with Azure Cognitive Search, Synapse and Cosmos DB.

Agolo Summarization for the Public Sector is an automated AI-driven summarization platform optimized for the complexity of the public sector. 
Agolo is a leading summarization engine for enterprise use. Agolo Summarization uses natural language processing and machine learning technologies to aggregate and organize content, creating human quality summaries at machine scale.
Effective enterprise search remains a challenge for many organizations in complex fields like defense, intelligence and civilian agencies. Understanding the context of a search is critical to delivering the right results. And different audiences (research, technical or operational) need different information even from within the same documents. Agolo addresses that challenge through our query-based summarization, which delivers contextually relevant summaries based on a user's search.

The Agolo summarization platform is deployed via Container on your Azure environment. Click the Get It Now button to get the Agolo Summarization for the Public Sector container.

When integrated within Azure Cognitive Search, Agolo Summarization for the Public Sector provides a greatly improved search environment, helping enterprise users not only find the documents they need, but quickly glean insights from those documents.
Agolo’s AI platform analyzes millions of documents and generates contextually relevant summaries, based upon a user query. When integrated with Azure Cognitive Search, Agolo Summarization provides the following capabilities:
  • Query Expansion: Our Semantically Similar Terms engine automatically suggests related terms to expand your search query. The terms are dynamically generated based on your specific content, requiring no external ontologies nor annotation of training materials.
  • Query-Based Summaries: The Agolo summarizer automatically creates contextually relevant summaries of documents based upon the user's search query.  Each summary is unique based upon that query, so that two users each reading a summary of the same document may get different summaries based upon their interests and the search they used to access that document.
  • Ontology-Based Summaries: For organizations that have ontologies, the Agolo Summarization platform can utilize these ontologies, enabling domain or role-based summarization. For example, a technical analyst and a budget analyst looking at the same document might be interested in very different things. Agolo Ontology-Based Summarization ensures that each gets a summary aligned to their interests.

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