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Generative AI needs a plan
Everyone wants GenAI and preferably immediately. However, AI specialist IntraFind advises against rash decisions and explains which questions companies should clarify beforehand.
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28.08.2024 | News Where GenAI Truly Adds Value
After the initial hype surrounding generative AI, the market is now beginning to separate the wheat from the chaff. Companies have identified the first applications that provide them with real value. IntraFind presents some of these.
The general euphoria around generative AI has subsided, and a more realistic perspective has emerged. Companies and public administrations have spent time researching, experimenting with GenAI, abandoning misconceptions, and starting to implement specific applications. Through this process, solutions that genuinely deliver value have come to the forefront.
IntraFind, an expert in Enterprise Search and Artificial Intelligence, outlines six of these solutions.
1.Creating Summaries. Many companies use GenAI to summarize extensive documents and long texts such as presentations or reports. The generative AI works language-independently and can, for example, create German summaries from English texts. This saves employees a lot of time and allows them to focus on creative and value-adding tasks.
2.Answering Organizational Questions. How do I apply for vacation? How do I report sick leave? How do I fill out my travel expense report? Question-answering systems within organizations' intranets can handle such questions. Employees ask common questions about their workday in natural language and receive answers in natural language as well. This reduces inquiries to HR or other administrative departments and supports the onboarding of new employees.
3.Supporting Help Centers. When customers contact the technical support of industrial companies, they expect a quick answer or solution to their problem. Companies can meet this expectation with question-answering systems for their support staff, who can quickly access solutions from extensive technical documentation through summaries and queries.
4.Efficient Knowledge Transfer. With the baby boomer generation retiring in the coming years, companies face a massive loss of know-how, leading to a significant drop in competitiveness. Question-answering systems in knowledge management make the company's accumulated know-how more accessible. New employees, including career changers, can be trained more quickly, and the knowledge of departing colleagues can be passed on to their successors more efficiently.
5.Chatting with E-Files. Public administrations benefit from "Ask the E-File" applications. These are question-answering systems that enable staff to engage in a question-and-answer dialogue with files. This speeds up administrative processes, and citizen inquiries can be handled more quickly.
6.Accelerating the Creation of File Memos. A file memo assistant also offers significant benefits to authorities. This application supports staff in creating file memos by allowing generative AI to quickly and accurately summarize the facts. The final assessment and evaluation remain the responsibility of the accountable staff.
"Most meaningful applications of generative AI only become possible through the integration of organization-specific data," explains IntraFind CEO Franz Kögl. "Enterprise Search combined with Retrieval Augmented Generation, or RAG, has established itself as the best approach for integrating this data. RAG combines GenAI with search technologies that scan organizational data for relevant information during queries and provide it to the generative AI to generate responses. This significantly reduces the risk of so-called hallucinations in text generation. The solution also respects data privacy, as users only receive information that corresponds to their access and reading rights."
