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Wissensmanagment

21.11.2024 | Blog Enterprise search and generative AI: new potential for knowledge management

In times of shortage of skilled labour and demographic change, effective knowledge management is becoming a strategic priority for companies and public authorities. For knowledge managers and IT managers, it is not only important to secure expertise, but also to make it intelligently available. Enterprise search has long played a central role here - and now, with the integration of generative AI, completely new possibilities are opening.

1. Enterprise search as the foundation of knowledge management

Over the years, enterprise search has established itself as an indispensable tool for knowledge management. Software such as iFinder makes it possible to search data from different data sources and efficiently find and provide relevant information - whether from company drives, intranet portals, company wikis or external knowledge databases.

2. Generative AI makes access to knowledge more convenient

The integration of generative AI in enterprise search makes the provision of information more interactive. The Generative AI tool iAssistant, for example, can extract relevant information from all internal company data in a matter of seconds and present it in a comprehensible form. 

In this way, companies create the basis for all employees - even less experienced ones - to quickly access relevant information where expert knowledge would normally be required. This increases agility in dealing with specific specialist topics, promotes good familiarization and ensures the use of valuable knowledge, even when many employees retire in the coming years.

What Enterprise Search has achieved so far

+ New opportunities through generative AI

Centralized and secure data availability: All relevant information is available to employees quickly and reliably via a central access point. Employees don’t need to search in different systems - and all access and reading rights are taken into account.Intelligent question answering: In addition to the usual hit list, the AI can directly answer questions that are asked in natural language - such as ‘How do I apply for training?’ or ‘What are the specifications of the new product?’ - by providing a formulated answer in text form.
 
Automated text analysis: Using advanced text analysis processes and artificial intelligence methods, the search software can capture unstructured content thematically, automatically sort and aggregate it, recognize relationships between content and identify trends.Automated summaries: Employees receive a concise summary of the relevant content for a quick overview. This also works if source documents are available in other languages than the desired output language.
Increased productivity: Employees find what they are looking for more quickly and can therefore complete their tasks more efficiently.

Text assistant: Generative AI can fulfil standard preparatory tasks that employees then only need to complete with human expertise, for example transferring key points or document content as continuous text into predefined format templates.

3. Concrete knowledge management use cases with generative AI

The combination of enterprise search and generative AI creates new use cases that help to take knowledge management to the next level:

  • Intelligent self-service portals for employees
    Knowledge managers can use generative AI to implement question-answering bots that answer typical questions about internal processes. Whether queries to the HR department, IT services or product support - the answers are provided immediately and without time-consuming searches. A significant proportion of enquiries can therefore be dealt with via self-service, replacing calls, emails or tickets. This reduces the effort required for internal services and increases employee satisfaction.

  • Dynamic expansion of knowledge databases
    Editors of company wikis also benefit by being able to enrich or create new knowledge articles using generative AI. Generative AI can generate new knowledge articles based on current topics, frequent queries or specific requirements and append new information to existing articles. This makes it easier to keep the knowledge database up to date.

  • Optimization of technical support
    The integration of enterprise search and generative AI offers the opportunity to automate technical support. The AI compares incoming enquiries with previous support cases and suggests suitable solutions to problems. This allows employees to respond more quickly to customer problems and gives them time to deal with more complex enquiries. Thanks to generative AI, customers receive answers to simple standard enquiries in self-service.
     

    What the combination of enterprise search and generative AI brings to knowledge management

4. Conclusion: Rethinking knowledge management

Companies and public authorities are faced with the task of making the best possible use of their knowledge resources. Intelligent search software has always been an effective tool for this. The integration of generative AI now opens new potential for making information available even more conveniently. Organizations benefit from this to ensure future-proof knowledge management and at the same time increase their attractiveness as an employer and the satisfaction of their employees.

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The author

Franz Kögl
CEO
Franz Kögl is co-founder and co-owner of IntraFind Software AG and has more than 20 years of experience in Enterprise Search and Content Analytics.
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Autor Franz Kögl IntraFind