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How does AI search work?
AI search leverages advanced natural language processing and machine learning models to allow users to find information using natural language queries instead of keyword-based searches. When a user enters a query, the AI search system breaks down and analyzes the different components of the question to understand the underlying intent.
It then searches across connected data sources like documents, knowledge bases, databases and more to find relevant information that could help answer the query. The AI models gauge the relevance and importance of different content sources based on the specific question asked.
Using large language models trained on massive datasets, the AI search engine generates a response pulling insights and synthesizing information from the most pertinent sources. Advanced AI search can provide conversational responses, follow-up queries, visualize data, and even take actions or automate workflows related to the original query.
AI search provides a more natural and intelligent way to retrieve information compared to traditional keyword searches. It understands context and meaning rather than just matching words, allowing for more specific and nuanced information retrieval.
Why is AI search important?
AI search transforms how organizations and employees can access and leverage institutional knowledge and data. Instead of hunting through different systems with basic keyword searches that often return inadequate results, AI search allows users to simply ask questions in plain language.
This natural language querying makes it far easier to surface relevant information, insights and recommendations that may be buried across an enterprise's distributed data sources. By streamlining access to knowledge, AI search can significantly boost productivity and empower better data-driven decision making.
AI search also serves as a gateway for further AI-driven knowledge work. Once a query's intent is understood, AI assistants can be enabled to take process-driven actions, automate workflows, analyze data and more — not just retrieve information. This allows AI capabilities to be seamlessly integrated into modern work through a conversational interface.
As the volume of data and complexity of organizations continue growing, the ability to find accurate and timely information with ease becomes paramount. AI search provides a powerful solution for knowledge management and access.
Why does AI search matter for companies?
AI search unlocks the full value of a company’s institutional knowledge and data. Most enterprises struggle with siloed information spread across different systems, databases, file stores and tools — making it extremely difficult for employees to easily find the information they need to make informed decisions and do their jobs effectively.
With AI search, companies can provide a unified interface for employees to access relevant information across the entire organization using simple natural language queries, allowing companies to:
Boost productivity: By making institutional knowledge more accessible, employees waste less time hunting for information and can make data-driven decisions faster.
Improve knowledge sharing: AI search bridges knowledge silos, surfacing insights from across the enterprise and facilitating knowledge sharing.
Enhance data utilization: Companies can better leverage the full breadth of their data assets by making the information easily discoverable through AI search.
Drive better decisions: With streamlined access to critical business information and data-driven recommendations, employees can make higher quality decisions aligned with company strategies.
Capture tribal knowledge: AI search captures valuable tribal knowledge from experienced employees before it's lost through attrition.
Beyond just finding information, AI search unlocks new opportunities for automation by understanding query intents. Enterprises can build on AI search capabilities to initiate workflows, analyze data, provide interactive analytics and more directly through the search interface.
In today's knowledge economy, the ability to effectively leverage institutional knowledge and data can be a key competitive advantage. AI search equips companies to make their collective knowledge more accessible and actionable for employees across the entire organization.
